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• A remark on statistics for detecting laboratory effects in ORDANOVA
  The present study defines a new statistic for detecting laboratory effects in the analysis of ordinal variation (ORDANOVA). The ORDANOVA is an analysis method similar to one-way analysis of variance for analysing ordinal data obtained from interlaboratory comp…
  arxiv Jun-ichi Takeshita, Yuto Arai, Mayu Ogawa, Xiao-Nan Lu 等 2019-04-12T06:08:11Z 置信度 0.78 stat.AP
• Self-driving laboratory for accelerated discovery of thin-film materials
  Discovering and optimizing commercially viable materials for clean energy applications typically takes over a decade. Self-driving laboratories that iteratively design, execute, and learn from material science experiments in a fully autonomous loop present an …
  arxiv Benjamin P. MacLeod, Fraser G. L. Parlane, Thomas D. Morrissey, Florian Häse 等 2019-06-12T21:53:51Z 置信度 0.78 physics.app-phcond-mat.mtrl-sci
• Laboratory astrophysics: key to understanding the Universe
  This brief overview stresses the importance of laboratory data and theory in analyzing astronomical observations and understanding the physical and chemical processes that drive the astrophysical phenomena in our Universe. This includes basic atomic and molecu…
  arxiv Ewine F. van Dishoeck 2019-11-26T20:13:44Z 置信度 0.78 astro-ph.GAastro-ph.EPastro-ph.IM
• LabRobFail: A Benchmark for Robotic Failure Analysis in Chemical Self-driving Laboratory
  The deployment of embodied agents in self-driving laboratories could accelerate scientific discovery, yet their reliability is constrained by the irreversible and safety-critical nature of chemical experiments. Progress is further hindered by scarce failure da…
  arxiv Haobo Wang, Baoli Sun, Anqi Zou, Dongsheng Huang 等 2026-07-26T14:56:04Z 置信度 0.78 cs.ROcs.CV
• Explosion Implosion Duality and the Laboratory Simulation of Astrophysical Systems
  The Euler equations of ideal gas dynamics posess a remarkable nonlinear involutional symmetry which allows one to factor out an arbitrary uniform expansion or contraction of the system. The nature of this symmetry (called by cosmologists the transformation to …
  arxiv L. O'C. Drury, J. T. Mendonca 2000-03-24T17:46:32Z 置信度 0.78 astro-phphysics.plasm-ph
• New Discoveries in the Galactic Neighborhood through Advances in Laboratory Astrophysics
  As the Galactic Neighborhood (GAN) panel is fully aware, the next decade will see major advances in our understanding of this area of research. To quote from their charge, these advances will occur in studies of the galactic neighborhood, including the structu…
  arxiv AAS WGLA, Nancy Brickhouse, John Cowan, Paul Drake 等 2009-02-27T02:57:50Z 置信度 0.78 astro-ph.IMastro-ph.GA
• Galactic Neighborhood and Laboratory Astrophysics
  The galactic neighborhood, extending from the Milky Way to redshifts of about 0.1, is our unique local laboratory for detailed study of galaxies and their interplay with the environment. Such study provides a foundation of knowledge for interpreting observatio…
  arxiv Q. Daniel Wang 2011-12-02T18:26:50Z 置信度 0.78 astro-ph.GA
• Laboratory Astrophysics White Paper (based on the 2010 NASA Laboratory Astrophysics Workshop in Gatlinberg, Tennessee, 25-28 October 2010)
  The purpose of the 2010 NASA Laboratory Astrophysics Workshop (LAW) was, as given in the Charter from NASA, "to provide a forum within which the scientific community can review the current state of knowledge in the field of Laboratory Astrophysics, assess the …
  arxiv Daniel Wolf Savin, Lou Allamandola, Steve Federman, Paul Goldsmith 等 2011-03-07T19:20:31Z 置信度 0.78 astro-ph.IM
• New Discoveries in Stars and Stellar Evolution through Advances in Laboratory Astrophysics
  As the Stars and Stellar Evolution (SSE) panel is fully aware, the next decade will see major advances in our understanding of these areas of research. To quote from their charge, these advances will occur in studies of the Sun as a star, stellar astrophysics,…
  arxiv AAS WGLA, :, Nancy Brickhouse, John Cowan 等 2009-02-26T20:20:19Z 置信度 0.78 astro-ph.IMastro-ph.SR
• New Discoveries in Cosmology and Fundamental Physics through Advances in Laboratory Astrophysics
  As the Cosmology and Fundamental Physics (CFP) panel is fully aware, the next decade will see major advances in our understanding of these areas of research. To quote from their charge, these advances will occur in studies of the early universe, the microwave …
  arxiv AAS WGLA, :, Nancy Brickhouse, John Cowan 等 2009-02-26T18:54:30Z 置信度 0.78 astro-ph.IMastro-ph.CO
• Compton Edge probing basic physics at Jefferson Laboratory: light speed isotropy and Lorentz invariance
  We propose to study of the light speed isotropy and Lorentz invariance at Jefferson Laboratory by means of the measurements of the Compton Edge using of the Hall A/C existing experimental setup. Methodologically the same experiment has already been successfull…
  arxiv Vahe Gurzadyan, David Gaskell, Vanik Kakoyan, Cynthia Keppel 等 2017-06-27T15:27:11Z 置信度 0.78 physics.acc-phastro-ph.CO
• Kinematic Analysis and Integration of Vision Algorithms for a Mobile Manipulator Employed Inside a Self-Driving Laboratory
  Recent advances in robotics and autonomous systems have broadened the use of robots in laboratory settings, including automated synthesis, scalable reaction workflows, and collaborative tasks in self-driving laboratories (SDLs). This paper presents a comprehen…
  arxiv Shifa Sulaiman, Tobias Busk Jensen, Stefan Hein Bengtson, Simon Bøgh 2025-10-21T21:14:00Z 置信度 0.78 cs.RO
• New Discoveries in Planetary Systems and Star Formation through Advances in Laboratory Astrophysics
  As the panel on Planetary Systems and Star Formation (PSF) is fully aware, the next decade will see major advances in our understanding of these areas of research. To quote from their charge, these advances will occur in studies of solar system bodies (other t…
  arxiv AAS WGLA, Nancy Brickhouse, John Cowan, Paul Drake 等 2009-02-27T18:00:52Z 置信度 0.78 astro-ph.IM
• Cosmology and Fundamental Physics and their Laboratory Astrophysics Connections
  The Decadal Survey of Astronomy and Astrophysics created five panels to identify the science themes that would define the field's research frontiers in the coming decade. I will describe the conclusions of one of these, the Panel on Cosmology and Fundamental P…
  arxiv W. C. Haxton 2011-01-14T00:17:32Z 置信度 0.78 astro-ph.COnucl-th
• New Discoveries in Galaxies across Cosmic Time through Advances in Laboratory Astrophysics
  As the Galaxies across Cosmic Time (GCT) panel is fully aware, the next decade will see major advances in our understanding of these areas of research. To quote from their charge, these advances will occur in studies of the formation, evolution, and global pro…
  arxiv AAS WGLA, :, Nancy Brickhouse, John Cowan 等 2009-02-26T19:41:45Z 置信度 0.78 astro-ph.IMastro-ph.GA
• Search Strategies for Self-driving Laboratories with Pending Experiments
  Self-driving laboratories (SDLs) consist of multiple stations that perform material synthesis and characterisation tasks. To minimize station downtime and maximize experimental throughput, it is practical to run experiments in asynchronous parallel, in which m…
  arxiv Hao Wen, Jakob Zeitler, Connor Rupnow 2023-12-06T12:41:53Z 置信度 0.78 cs.LGcs.RO
• Roles and Needs of Laboratory Astrophysics in NASA's Space and Earth Science Mission
  Laboratory astrophysics and complementary theoretical calculations are the foundations of astronomy and astrophysics and will remain so into the foreseeable future. The mission enabling impact of laboratory astrophysics ranges from the scientific conception st…
  arxiv Nancy Brickhouse, John Cowan, Paul Drake, Steven Federman 等 2009-03-26T14:08:20Z 置信度 0.78 astro-ph.IMastro-ph.COastro-ph.EPastro-ph.GAastro-ph.HE
• Chemist Eye: A Visual Language Model-Powered System for Safety Monitoring and Robot Decision-Making in Self-Driving Laboratories
  The integration of robotics and automation into self-driving laboratories (SDLs) can introduce additional safety complexities, in addition to those that already apply to conventional research laboratories. Personal protective equipment (PPE) is an essential re…
  arxiv Francisco Munguia-Galeano, Zhengxue Zhou, Satheeshkumar Veeramani, Hatem Fakhruldeen 等 2025-08-07T08:31:42Z 置信度 0.78 cs.ROcs.AI
• Closed-Loop Robotic Manipulation of Transparent Substrates for Self-Driving Laboratories using Deep Learning Micro-Error Correction
  Self-driving laboratories (SDLs) have accelerated the throughput and automation capabilities for discovering and improving chemistries and materials. Although these SDLs have automated many of the steps required to conduct chemical and materials experiments, a…
  arxiv Kelsey Fontenot, Anjali Gorti, Iva Goel, Tonio Buonassisi 等 2025-12-04T21:08:46Z 置信度 0.78 cs.ROcs.LG
• NIMO Controller: a self-driving laboratory orchestrator based on the Model Context Protocol
  Self-driving laboratories (SDLs) have attracted increasing attention as a means of accelerating scientific discovery; however, developing SDL software remains technically demanding. To improve accessibility, orchestration software frameworks have been proposed…
  arxiv Naruki Yoshikawa, Ryo Tamura 2026-05-13T14:25:45Z 置信度 0.78 cs.AIcond-mat.mtrl-scics.RO
• Admittance-Based Motion Planning with Vision-Guided Initialization for Robotic Manipulators in Self-Driving Laboratories
  Self driving laboratories (SDLs) are highly automated research environments that leverage advanced technologies to conduct experiments and analyze data with minimal human involvement. These environments often involve delicate laboratory equipment, unpredictabl…
  arxiv Shifa Sulaiman, Tobias Jensen, Francesco Schetter, Simon Bøgh 2026-01-29T13:29:56Z 置信度 0.78 cs.RO
• Towards self-driving laboratories: The central role of density functional theory in the AI age
  Density functional theory (DFT) plays a pivotal role for the chemical and materials science due to its relatively high predictive power, applicability, versatility and computational efficiency. We review recent progress in machine learning model developments w…
  arxiv Bing Huang, Guido Falk von Rudorff, O. Anatole von Lilienfeld 2023-04-06T17:55:29Z 置信度 0.78 physics.chem-ph
• Learning to Drive in New Cities Without Human Demonstrations
  While autonomous vehicles have achieved reliable performance within specific operating regions, their deployment to new cities remains costly and slow. A key bottleneck is the need to collect many human demonstration trajectories when adapting driving policies…
  arxiv Zilin Wang, Saeed Rahmani, Daphne Cornelisse, Bidipta Sarkar 等 2026-02-09T00:31:20Z 置信度 0.78 cs.ROcs.LGcs.MA
• The universe out of a monopole in the laboratory?
  To explore the possibility that an inflationary universe can be created out of a stable particle in the laboratory, we consider the classical and quantum dynamics of a magnetic monopole in the thin-shell approximation. Classically there are three types of solu…
  arxiv Nobuyuki Sakai, Ken-ichi Nakao, Hideki Ishihara, Makoto Kobayashi 2006-02-21T15:03:29Z 置信度 0.78 gr-qcastro-phhep-ph
• Fundamental Physics and Relativistic Laboratory Astrophysics with Extreme Power Lasers
  The prospects of using extreme relativistic laser-matter interactions for laboratory astrophysics are discussed. Laser-driven process simulation of matter dynamics at ultra-high energy density is proposed for the studies of astrophysical compact objects and th…
  arxiv T. Zh. Esirkepov, S. V. Bulanov 2012-02-21T08:05:59Z 置信度 0.78 astro-ph.HEphysics.plasm-ph
• RAISE: A self-driving laboratory for interfacial property formulation discovery
  Surface wettability is a critical design parameter for biomedical devices, coatings, and textiles. Contact angle measurements quantify liquid-surface interactions, which depend strongly on liquid formulation. Herein, we present the Robotic Autonomous Imaging S…
  arxiv Mohammad Nazeri, Sheldon Mei, Jeffrey Watchorn, Alex Zhang 等 2025-10-08T00:53:28Z 置信度 0.78 cs.RO
• Planck's constant measurement by Landauer quantization for students laboratories
  A simple experimental setup for measuring the Planck's constant, using Landauer quantization of the conductance between touching gold wires, is described. It consists of two gold wires with thickness of 0.5 mm and 1.5 cm length, and an operational amplifier. T…
  arxiv Desislav S. Damyanov, Iliana N. Pavlova, Simona I. Ilieva, Vassil N. Gourev 等 2015-01-23T16:02:56Z 置信度 0.78 physics.ed-ph
• PUDA: An AI-Native Hardware Harness for Self-Driving Laboratories
  Physical Unified Device Architecture (PUDA) is an AI-native hardware harness for self-driving laboratories (SDLs). Rather than building a human-centered graphical user interface (GUI) orchestration layer, PUDA creates a command-line runtime environment that le…
  arxiv Zekun Ren, Hongzhao Tan, Jiaen Yee, Kedar Hippalgaonkar 2026-07-29T04:36:15Z 置信度 0.78 cond-mat.mtrl-scics.AI
• Beyond Ternary OPV: High-Throughput Experimentation and Self-Driving Laboratories Optimize Multi-Component Systems
  Fundamental advances to increase the efficiency as well as stability of organic photovoltaics (OPVs) are achieved by designing ternary blends which represents a clear trend towards multi-component active layer blends. We report the development of high-throughp…
  arxiv Stefan Langner, Florian Häse, José Darío Perea, Tobias Stubhan 等 2019-09-08T17:15:18Z 置信度 0.78 physics.app-ph
• D-Mag: a laboratory for studying plasma physics and diagnostics in strong magnetic fields
  We have set up a diagnostic magnet (D-Mag) laboratory for a wide range of applications in plasma physics. It consists of a superconducting magnet for field strengths of up to 5.9 T. The main purpose is to provide an experimental environment for the development…
  arxiv Bartholomaeaus Jagielski, Uwe Wenzel, Thomas Sunn Pedersen, Andre Melzer 等 2023-03-27T13:06:05Z 置信度 0.78 physics.ins-detphysics.app-ph
• SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
  Assessing different material properties to predict specific attributes, such as band gap, resistivity, young modulus, work function, and refractive index, is a fundamental requirement for materials science-based applications. However, the process is time-consu…
  arxiv Anand Babu 2024-07-11T08:12:46Z 置信度 0.78 cond-mat.mtrl-scics.AIcs.LGphysics.app-ph
• 3D MHD Simulations of Laboratory Plasma Jets
  Jets and outflows are thought to be an integral part of accretion phenomena and are associated with a large variety of objects. In these systems, the interaction of magnetic fields with an accretion disk and/or a magnetized central object is thought to be resp…
  arxiv A. Ciardi, S. V. Lebedev, A. Frank, E. G. Blackman 等 2006-06-30T13:37:39Z 置信度 0.78 astro-ph
• The AI Driving Olympics at NeurIPS 2018
  Despite recent breakthroughs, the ability of deep learning and reinforcement learning to outperform traditional approaches to control physically embodied robotic agents remains largely unproven. To help bridge this gap, we created the 'AI Driving Olympics' (AI…
  arxiv Julian Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta 等 2019-03-06T17:24:11Z 置信度 0.78 cs.RO
• Safe-SDL:Establishing Safety Boundaries and Control Mechanisms for AI-Driven Self-Driving Laboratories
  The emergence of Self-Driving Laboratories (SDLs) transforms scientific discovery methodology by integrating AI with robotic automation to create closed-loop experimental systems capable of autonomous hypothesis generation, experimentation, and analysis. While…
  arxiv Zihan Zhang, Haohui Que, Junhan Chang, Xin Zhang 等 2026-02-13T12:42:48Z 置信度 0.78 cs.ROcs.AI
• AutoSciLab: A Self-Driving Laboratory For Interpretable Scientific Discovery
  Advances in robotic control and sensing have propelled the rise of automated scientific laboratories capable of high-throughput experiments. However, automated scientific laboratories are currently limited by human intuition in their ability to efficiently des…
  arxiv Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao, Igal Brener 等 2024-12-16T20:41:46Z 置信度 0.78 cs.LGcond-mat.mtrl-sciphysics.optics
• Self-Driving Cars: A Survey
  We survey research on self-driving cars published in the literature focusing on autonomous cars developed since the DARPA challenges, which are equipped with an autonomy system that can be categorized as SAE level 3 or higher. The architecture of the autonomy …
  arxiv Claudine Badue, Rânik Guidolini, Raphael Vivacqua Carneiro, Pedro Azevedo 等 2019-01-14T17:10:40Z 置信度 0.78 cs.RO
• Interstellar dust modelling: Interfacing laboratory, theoretical and observational studies (The THEMIS model)
  The construction of viable and physically-realistic interstellar dust models is only possible if the constraints imposed by laboratory data on interstellar dust analogue materials are respected and used within a meaningful theoretical framework. These physical…
  arxiv Ant Jones 2015-11-25T08:22:18Z 置信度 0.78 astro-ph.GA
• Agentic AI for Self-Driving Laboratories in Soft Matter: Taxonomy, Benchmarks,and Open Challenges
  Self-driving laboratories (SDLs) close the loop between experiment design, automated execution, and data-driven decision making, and they provide a demanding testbed for agentic AI under expensive actions, noisy and delayed feedback, strict feasibility and saf…
  arxiv Xuanzhou Chen, Audrey Wang, Stanley Yin, Hanyang Jiang 等 2026-01-25T17:44:19Z 置信度 0.78 cs.AI
• Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving
  Effective feature-extraction is critical to models' contextual understanding, particularly for applications to robotics and autonomous driving, such as multimodal trajectory prediction. However, state-of-the-art generative methods face limitations in represent…
  arxiv Manoj Bhat, Jonathan Francis, Jean Oh 2020-11-30T15:42:15Z 置信度 0.78 cs.CV
• Generating Driving Scenes with Diffusion
  In this paper we describe a learned method of traffic scene generation designed to simulate the output of the perception system of a self-driving car. In our "Scene Diffusion" system, inspired by latent diffusion, we use a novel combination of diffusion and ob…
  arxiv Ethan Pronovost, Kai Wang, Nick Roy 2023-05-29T04:03:46Z 置信度 0.78 cs.CVcs.LG
• Validation Frameworks for Self-Driving Vehicles: A Survey
  As a part of the digital transformation, we interact with more and more intelligent gadgets. Today, these gadgets are often mobile devices, but in the advent of smart cities, more and more infrastructure---such as traffic and buildings---in our surroundings be…
  arxiv Francesco Concas, Jukka K. Nurminen, Tommi Mikkonen, Sasu Tarkoma 2020-07-22T11:22:16Z 置信度 0.78 cs.SE
• A Critical Evaluation of a Self-Driving Laboratory for the Optimization of Electrodeposited Earth-Abundant Mixed-Metal Oxide Catalysts for the Oxygen Evolution Reaction (OER)
  This work highlights the potential of earth-abundant mixed-metal oxide catalysts for the acid-based oxygen evolution reaction. These catalysts offer numerous combinations of metal-centre compositions, which can enhance catalytic activity and stability compared…
  arxiv Erfan Fatehi, Manish Thadani, Gabriel Birsan, Robert W Black 2023-05-21T18:52:30Z 置信度 0.78 physics.app-phcond-mat.mtrl-sci
• Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving
  3D detection of traffic management objects, such as traffic lights and road signs, is vital for self-driving cars, particularly for address-to-address navigation where vehicles encounter numerous intersections with these static objects. This paper introduces a…
  arxiv Sándor Kunsági-Máté, Levente Pető, Lehel Seres, Tamás Matuszka 2024-09-19T09:50:03Z 置信度 0.78 cs.CV
• Agentic LLM Reasoning in a Self-Driving Laboratory for Air-Sensitive Lithium Halide Spinel Conductors
  Self-driving laboratories promise to accelerate materials discovery. Yet current automated solid-state synthesis platforms are limited to ambient conditions, thereby precluding their use for air-sensitive materials. Here, we present A-Lab for Glovebox Powder S…
  arxiv Yuxing Fei, Bernardus Rendy, Xiaochen Yang, Junhee Woo 等 2026-04-13T18:49:12Z 置信度 0.78 cond-mat.mtrl-scics.LG
• MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation
  Accelerated materials discovery is critical for addressing global challenges. However, developing new laboratory workflows relies heavily on real-world experimental trials, and this can hinder scalability because of the need for numerous physical make-and-test…
  arxiv Kourosh Darvish, Arjun Sohal, Abhijoy Mandal, Hatem Fakhruldeen 等 2026-01-19T17:06:08Z 置信度 0.78 cs.RO
• Weakly and Self-Supervised Class-Agnostic Motion Prediction for Autonomous Driving
  Understanding motion in dynamic environments is critical for autonomous driving, thereby motivating research on class-agnostic motion prediction. In this work, we investigate weakly and self-supervised class-agnostic motion prediction from LiDAR point clouds. …
  arxiv Ruibo Li, Hanyu Shi, Zhe Wang, Guosheng Lin 2025-09-16T14:22:45Z 置信度 0.78 cs.CV
• Self-Driving Cars and Driver Alertness
  Recent years have seen growing interest in the development of self-driving vehicles that promise (or threaten) to replace human drivers with intelligent software. However, current self-driving cars still require human supervision and prompt takeover of control…
  arxiv Nguyen H Tran, Abhaya C Nayak 2021-07-20T23:55:44Z 置信度 0.78 cs.CY
• Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments
  In the area of learning-driven artificial intelligence advancement, the integration of machine learning (ML) into self-driving (SD) technology stands as an impressive engineering feat. Yet, in real-world applications outside the confines of controlled laborato…
  arxiv Haozhe Lei, Quanyan Zhu 2023-09-05T15:47:40Z 置信度 0.78 cs.ROcs.AIeess.SYstat.ML
• Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars
  Convolutional Neural Networks (CNNs) are vulnerable to misclassifying images when small perturbations are present. With the increasing prevalence of CNNs in self-driving cars, it is vital to ensure these algorithms are robust to prevent collisions from occurri…
  arxiv Aakash Kumar 2022-02-16T01:34:55Z 置信度 0.78 cs.CVcs.CRcs.LGeess.IV
• The need of a self for self-driving cars a theoretical model applying homeostasis to self driving
  This paper explores the concept of creating a "self" for self-driving cars through a homeostatic architecture designed to enhance their autonomy, safety, and efficiency. The proposed system integrates inward focused sensors to monitor the car's internal state,…
  arxiv Martin Schmalzried 2024-06-19T22:26:26Z 置信度 0.78 cs.HCcs.RO
• Optical properties of silicon carbide for astrophysical applications I. New laboratory infrared reflectance spectra and optical constants
  Silicon Carbide (SiC) optical constants are fundamental inputs for radiative transfer models of astrophysical dust environments. However, previously published values contain errors and do not adequately represent the bulk physical properties of the cubic (beta…
  arxiv K. M. Pitman, A. M. Hofmeister, A. B. Corman, A. K. Speck 2008-03-10T16:17:02Z 置信度 0.78 astro-ph
• Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution
  Neuroscience research has made immense progress over the last decade, but our understanding of the brain remains fragmented and piecemeal: the dream of probing an arbitrary brain region and automatically reading out the information encoded in its neural activi…
  arxiv Yizi Zhang, Yanchen Wang, Donato Jimenez-Beneto, Zixuan Wang 等 2024-07-19T21:05:28Z 置信度 0.78 q-bio.NCcs.LGcs.NE
• Safe Trajectory Planning Using Reinforcement Learning for Self Driving
  Self-driving vehicles must be able to act intelligently in diverse and difficult environments, marked by high-dimensional state spaces, a myriad of optimization objectives and complex behaviors. Traditionally, classical optimization and search techniques have …
  arxiv Josiah Coad, Zhiqian Qiao, John M. Dolan 2020-11-09T19:29:14Z 置信度 0.78 cs.ROcs.AI
• Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles
  Self-driving vehicles have their own intelligence to drive on open roads. However, vehicle managers, e.g., government or industrial companies, still need a way to tell these self-driving vehicles what behaviors are encouraged or forbidden. Unlike human drivers…
  arxiv Jiaxin Liu, Wenhui Zhou, Hong Wang, Zhong Cao 等 2022-04-25T03:04:04Z 置信度 0.78 cs.ROeess.SY
• Automating Care by Self-maintainability for Full Laboratory Automation
  The automation of experiments in life sciences and chemistry has significantly advanced with the development of various instruments and AI technologies. However, achieving full laboratory automation, where experiments conceived by scientists are seamlessly exe…
  arxiv Koji Ochiai, Yuya Tahara-Arai, Akari Kato, Kazunari Kaizu 等 2025-01-10T08:49:37Z 置信度 0.78 q-bio.QM
• Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving
  In this paper, we propose an end-to-end self-driving network featuring a sparse attention module that learns to automatically attend to important regions of the input. The attention module specifically targets motion planning, whereas prior literature only app…
  arxiv Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang 等 2020-11-02T17:47:54Z 置信度 0.78 cs.ROcs.CVcs.LG
• Self-Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers
  To overcome the inherent inefficiencies of traditional trial-and-error materials discovery, the scientific community is increasingly developing autonomous laboratories that integrate data-driven decision-making into closed-loop experimental workflows. In this …
  arxiv Guoyue Xu, Renzheng Zhang, Tengfei Luo 2025-09-02T19:35:33Z 置信度 0.78 cond-mat.softcs.LG
• About the atomic and molecular databases in the planetary community -- A contribution in the Laboratory Astrophysics Data WG IAU 2022 GA session
  This paper corresponds to an invited oral contribution to the session 5A organised by the IAU inter-commission B2-B5 working group (WG) "Laboratory Astrophysics Data Compilation, Validation and Standardization: from the Laboratory to FAIR usage in the Astronom…
  arxiv M. Rengel 2023-02-10T16:22:45Z 置信度 0.78 astro-ph.IMastro-ph.EP
• Neural Encoding and Decoding at Scale
  Recent work has demonstrated that large-scale, multi-animal models are powerful tools for characterizing the relationship between neural activity and behavior. Current large-scale approaches, however, focus exclusively on either predicting neural activity from…
  arxiv Yizi Zhang, Yanchen Wang, Mehdi Azabou, Alexandre Andre 等 2025-04-11T02:06:20Z 置信度 0.78 q-bio.NCcs.AIcs.LG
• On Analyzing Self-Driving Networks: A Systems Thinking Approach
  The networking field has recently started to incorporate artificial intelligence (AI), machine learning (ML), big data analytics combined with advances in networking (such as software-defined networks, network functions virtualization, and programmable data pl…
  arxiv Touseef Yaqoob, Muhammad Usama, Junaid Qadir, Gareth Tyson 2018-04-09T17:29:44Z 置信度 0.78 cs.CYcs.SI
• Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data
  Decision making for self-driving cars is usually tackled by manually encoding rules from drivers' behaviors or imitating drivers' manipulation using supervised learning techniques. Both of them rely on mass driving data to cover all possible driving scenarios.…
  arxiv Jingliang Duan, Shengbo Eben Li, Yang Guan, Qi Sun 等 2020-01-27T14:26:04Z 置信度 0.78 eess.SY
• Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles
  The software powering today's vehicles surpasses mechatronics as the dominating engineering challenge due to its fast evolving and innovative nature. In addition, the software and system architecture for upcoming vehicles with automated driving functionality i…
  arxiv Federico Giaimo, Christian Berger 2017-05-15T11:47:24Z 置信度 0.78 cs.SE
• High Resolution Millimeter Wave Imaging For Self-Driving Cars
  Recent years have witnessed much interest in expanding the use of networking signals beyond communication to sensing, localization, robotics, and autonomous systems. This paper explores how we can leverage recent advances in 5G millimeter wave (mmWave) technol…
  arxiv Junfeng Guan, Sohrab Madani, Suraj Jog, Haitham Hassanieh 2019-12-19T22:27:56Z 置信度 0.78 cs.CVcs.LGeess.IV
• Self-driving scale car trained by Deep reinforcement learning
  The self-driving based on deep reinforcement learning, as the most important application of artificial intelligence, has become a popular topic. Most of the current self-driving methods focus on how to directly learn end-to-end self-driving control strategy fr…
  arxiv Qi Zhang, Tao Du, Changzheng Tian 2019-09-08T13:41:42Z 置信度 0.78 cs.LGcs.AIeess.SY
• A self-driving lab for solution-processed electrochromic thin films
  Solution-processed electrochromic materials offer high potential for energy-efficient smart windows and displays. Their performance varies with material choice and processing conditions. Electrochromic thin film electrodes require a smooth, defect-free coating…
  arxiv Selma Dahms, Luca Torresi, Shahbaz Tareq Bandesha, Jan Hansmann 等 2025-11-28T13:19:53Z 置信度 0.78 cs.LGcond-mat.mtrl-sci
• Ethical and Social Aspects of Self-Driving Cars
  As an envisaged future of transportation, self-driving cars are being discussed from various perspectives, including social, economical, engineering, computer science, design, and ethics. On the one hand, self-driving cars present new engineering problems that…
  arxiv Tobias Holstein, Gordana Dodig-Crnkovic, Patrizio Pelliccione 2018-02-05T22:22:08Z 置信度 0.78 cs.CY
• One Thousand and One Hours: Self-driving Motion Prediction Dataset
  Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to date, containing over 1,000 hours of data. This was collected by a fleet of 20 autonomous vehicles along a fixed route in Palo Al…
  arxiv John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye 等 2020-06-25T15:23:41Z 置信度 0.78 cs.CVcs.LGcs.RO
• Motion Prediction on Self-driving Cars: A Review
  The autonomous vehicle motion prediction literature is reviewed. Motion prediction is the most challenging task in autonomous vehicles and self-drive cars. These challenges have been discussed. Later on, the state-of-theart has reviewed based on the most recen…
  arxiv Shahrokh Paravarzar, Belqes Mohammad 2020-11-06T23:40:37Z 置信度 0.78 cs.ROcs.CV
• Beelines: Motion Prediction Metrics for Self-Driving Safety and Comfort
  The commonly used metrics for motion prediction do not correlate well with a self-driving vehicle's system-level performance. The most common metrics are average displacement error (ADE) and final displacement error (FDE), which omit many features, making them…
  arxiv Skanda Shridhar, Yuhang Ma, Tara Stentz, Zhengdi Shen 等 2020-11-01T01:09:23Z 置信度 0.78 cs.ROcs.AI
• Interpretable self-driving sputter epitaxy: from black-box optimization to human-usable growth rules
  Self-driving laboratories have emerged as powerful tools for navigating high-dimensional process spaces, yet systems remain black-box optimizers that yield limited transferable process understanding. Here, we demonstrate an interpretable self-driving laborator…
  arxiv Yuki K. Wakabayashi, Yui Ogawa, Franz Benedict Romero, Takuma Otsuka 等 2026-02-26T02:10:26Z 置信度 0.78 cond-mat.mtrl-sci
• Expert-level protocol translation for self-driving labs
  Recent development in Artificial Intelligence (AI) models has propelled their application in scientific discovery, but the validation and exploration of these discoveries require subsequent empirical experimentation. The concept of self-driving laboratories pr…
  arxiv Yu-Zhe Shi, Fanxu Meng, Haofei Hou, Zhangqian Bi 等 2024-11-01T08:34:32Z 置信度 0.78 cs.RO
• Brain Inspired Cognitive Model with Attention for Self-Driving Cars
  Perception-driven approach and end-to-end system are two major vision-based frameworks for self-driving cars. However, it is difficult to introduce attention and historical information of autonomous driving process, which are the essential factors for achievin…
  arxiv Shitao Chen, Songyi Zhang, Jinghao Shang, Badong Chen 等 2017-02-18T10:47:16Z 置信度 0.78 cs.CVcs.RO
• Self-Driving Car Steering Angle Prediction: Let Transformer Be a Car Again
  Self-driving vehicles are expected to be a massive economic influence over the coming decades. Udacity https://www.udacity.com/ has been working on a completely open-source self driving car. Thus, it regularly organizes various competitions, one of which was d…
  arxiv Chingis Oinar, Eunmin Kim 2022-04-27T07:42:42Z 置信度 0.78 cs.CV
• Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases
  Large Vision-Language Models (LVLMs) have received widespread attention for advancing the interpretable self-driving. Existing evaluations of LVLMs primarily focus on multi-faceted capabilities in natural circumstances, lacking automated and quantifiable asses…
  arxiv Kai Chen, Yanze Li, Wenhua Zhang, Yanxin Liu 等 2024-04-16T14:20:55Z 置信度 0.78 cs.CV
• A perception centred self-driving system without HD Maps
  Building a fully autonomous self-driving system has been discussed for more than 20 years yet remains unsolved. Previous systems have limited ability to scale. Their localization subsystem needs labor-intensive map recording for running in a new area, and the …
  arxiv Alan Sun 2020-09-02T02:06:29Z 置信度 0.78 cs.CV
• An LSTM-based Test Selection Method for Self-Driving Cars
  Self-driving cars require extensive testing, which can be costly in terms of time. To optimize this process, simple and straightforward tests should be excluded, focusing on challenging tests instead. This study addresses the test selection problem for lane-ke…
  arxiv Ali Güllü, Faiz Ali Shah, Dietmar Pfahl 2025-01-07T15:44:06Z 置信度 0.78 cs.ROcs.SE
• Key Ingredients of Self-Driving Cars
  Over the past decade, many research articles have been published in the area of autonomous driving. However, most of them focus only on a specific technological area, such as visual environment perception, vehicle control, etc. Furthermore, due to fast advance…
  arxiv Rui Fan, Jianhao Jiao, Haoyang Ye, Yang Yu 等 2019-06-07T07:41:27Z 置信度 0.78 cs.ROcs.CVcs.LGeess.SPeess.SY
• A Survey on Simulators for Testing Self-Driving Cars
  A rigorous and comprehensive testing plays a key role in training self-driving cars to handle variety of situations that they are expected to see on public roads. The physical testing on public roads is unsafe, costly, and not always reproducible. This is wher…
  arxiv Prabhjot Kaur, Samira Taghavi, Zhaofeng Tian, Weisong Shi 2021-01-13T20:38:50Z 置信度 0.78 cs.RO
• The Colorful Chemical Bottle Experiment Kit: From School Laboratory To Public Demonstration
  The blue bottle experiment was first introduced to the chemical education literature as a simple demonstration on kinetics. Its original formulation contains only glucose, NaOH and small amount of methylene blue. The solution turns blue when shaken and fades t…
  arxiv Taweetham Limpanuparb, Suphattra Hsu 2015-04-10T09:33:13Z 置信度 0.78 physics.chem-ph
• An Online Self-learning Graph-based Lateral Controller for Self-Driving Cars
  The hype around self-driving cars has been growing over the past years and has sparked much research. Several modules in self-driving cars are thoroughly investigated to ensure safety, comfort, and efficiency, among which the controller is crucial. The control…
  arxiv Jilan Samiuddin, Benoit Boulet, Di Wu 2024-10-15T18:38:12Z 置信度 0.78 cs.RO
• DSDNet: Deep Structured self-Driving Network
  In this paper, we propose the Deep Structured self-Driving Network (DSDNet), which performs object detection, motion prediction, and motion planning with a single neural network. Towards this goal, we develop a deep structured energy based model which consider…
  arxiv Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen 等 2020-08-13T17:54:06Z 置信度 0.78 cs.CV
• A*3D Dataset: Towards Autonomous Driving in Challenging Environments
  With the increasing global popularity of self-driving cars, there is an immediate need for challenging real-world datasets for benchmarking and training various computer vision tasks such as 3D object detection. Existing datasets either represent simple scenar…
  arxiv Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan 等 2019-09-17T01:19:04Z 置信度 0.78 cs.CVcs.RO
• MIT Lincoln Laboratory: A Case Study on Improving Software Support for Research Projects
  Software plays an ever increasing role in complex system development and prototyping, and in recent years, MIT Lincoln Laboratory has sought to improve both the effectiveness and culture surrounding software engineering in execution of its mission. The Homelan…
  arxiv Daniel Strassler, Gabe Elkin, Curran Schiefelbein, Daniel Herring 等 2025-12-01T13:22:58Z 置信度 0.78 cs.SE
• Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving
  We present Sim-on-Wheels, a safe, realistic, and vehicle-in-loop framework to test autonomous vehicles' performance in the real world under safety-critical scenarios. Sim-on-wheels runs on a self-driving vehicle operating in the physical world. It creates virt…
  arxiv Yuan Shen, Bhargav Chandaka, Zhi-hao Lin, Albert Zhai 等 2023-06-15T01:49:42Z 置信度 0.78 cs.RO
• On a Formal Model of Safe and Scalable Self-driving Cars
  In recent years, car makers and tech companies have been racing towards self driving cars. It seems that the main parameter in this race is who will have the first car on the road. The goal of this paper is to add to the equation two additional crucial paramet…
  arxiv Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua 2017-08-21T18:22:19Z 置信度 0.78 cs.ROcs.AIstat.ML
• Evaluation Uncertainty in Data-Driven Self-Driving Testing
  Safety evaluation of self-driving technologies has been extensively studied. One recent approach uses Monte Carlo based evaluation to estimate the occurrence probabilities of safety-critical events as safety measures. These Monte Carlo samples are generated fr…
  arxiv Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao 2019-04-19T18:21:48Z 置信度 0.78 stat.MEcs.ROstat.ML
• LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator
  The majority of road accidents occur because of human errors, including distraction, recklessness, and drunken driving. One of the effective ways to overcome this dangerous situation is by implementing self-driving technologies in vehicles. In this paper, we f…
  arxiv Lakshmikar R. Polamreddy, Youshan Zhang 2023-10-24T18:11:25Z 置信度 0.78 cs.CV
• A gamified simulator and physical platform for self-driving algorithm training and validation
  We identify the need for a gamified self-driving simulator where game mechanics encourage high-quality data capture, and design and apply such a simulator to collecting lane-following training data. The resulting synthetic data enables a Convolutional Neural N…
  arxiv Joshua E. Siegel, Georgios Pappas, Konstantinos Politopoulos, Yongbin Sun 2019-11-18T16:44:57Z 置信度 0.78 cs.RO
• DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks
  Traditional decision and planning frameworks for self-driving vehicles (SDVs) scale poorly in new scenarios, thus they require tedious hand-tuning of rules and parameters to maintain acceptable performance in all foreseeable cases. Recently, self-driving metho…
  arxiv Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu 2020-11-13T06:13:28Z 置信度 0.78 cs.ROcs.AIcs.LGeess.SY
• Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles
  Self-driving cars and autonomous driving research has been receiving considerable attention as major promising prospects in modern artificial intelligence applications. According to the evolution of advanced driver assistance system (ADAS), the design of self-…
  arxiv Won Joon Yun, MyungJae Shin, Soyi Jung, Sean Kwon 等 2021-12-26T23:42:49Z 置信度 0.78 cs.ROcs.AIcs.LG
• CarFormer: Self-Driving with Learned Object-Centric Representations
  The choice of representation plays a key role in self-driving. Bird's eye view (BEV) representations have shown remarkable performance in recent years. In this paper, we propose to learn object-centric representations in BEV to distill a complex scene into mor…
  arxiv Shadi Hamdan, Fatma Güney 2024-07-22T17:59:01Z 置信度 0.78 cs.CVcs.AIcs.RO
• SimNet: Learning Reactive Self-driving Simulations from Real-world Observations
  In this work, we present a simple end-to-end trainable machine learning system capable of realistically simulating driving experiences. This can be used for the verification of self-driving system performance without relying on expensive and time-consuming roa…
  arxiv Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen 等 2021-05-26T05:14:23Z 置信度 0.78 cs.ROcs.CVcs.LG
• Review for "Toward Self-Driving Laboratory 2.0 for Chemistry and Materials Discovery"
  crossref 2026-03-04T21:02:42Z 置信度 0.70
• Review for "Democratizing Self-Driving Labs: Advances in Low-Cost 3D Printing for Laboratory Automation"
  crossref 2025-05-25T06:26:02Z 置信度 0.70
• Self-Driving Laboratory for Accelerated On-Surface Synthesis under Ultrahigh Vacuum
  The automation of experimentation has accelerated advances in materials synthesis. While most automated platforms operate under atmospheric conditions, many synthesis processes require ultrahigh vacuum (UHV) environments with stringent constraints. We present …
  crossref 2025-07-16T18:10:37Z 置信度 0.70
• Decision letter for "Toward Self-Driving Laboratory 2.0 for Chemistry and Materials Discovery"
  crossref 2026-03-04T21:02:42Z 置信度 0.70
• Decision letter for "Democratizing Self-Driving Labs: Advances in Low-Cost 3D Printing for Laboratory Automation"
  crossref 2025-05-25T06:26:02Z 置信度 0.70
• "Self-Driving" Means Self-Driving
  crossref Bryant Walker Smith 2025-10-21T13:18:43Z 置信度 0.70
• A Modular Self-Driving Laboratory for Automated Synthesis of CsPb(Cl/Br/I)3 Perovskite Nanocrystals
  crossref 2025-12-31T02:40:35Z 置信度 0.70
• A modular and affordable self-driving laboratory enables vision-guided optimization of metal electrodeposition
  Metal electrodeposition is a widely used materials synthesis technique; however, industrial applications often require optimization of complex precursor formulations and electrodeposition parameters, which is typically performed in a slow, inefficient, and emp…
  crossref Michael Pence, Griffyn Sgro, Bingxin Yang, Long Luo 2026-04-16T10:02:07Z 置信度 0.70