-
Robot multimodal locomotion encompasses the ability to transition between walking and flying, representing a significant challenge in robotics. This work presents an approach that enables automatic smooth transitions between legged and aerial locomotion. Lever…
datacite
L'Erario, Giuseppe, Hanover, Drew, Romero, Angel, Song, Yunlong 等
2023
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Quadratic Programs (QPs) have become a mature technology for the control of robots of all kinds, including humanoid robots. One aspect has been largely overlooked, however, which is the accuracy with which these QPs should be solved. QP solvers aim at providin…
datacite
Chefchaouni, Sélim, Benallegue, Mehdi, Escande, Adrien, Wieber, Pierre-Brice
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Motion capture has become increasingly important, not only in computer animation but also in emerging fields like the virtual reality, bioinformatics, and humanoid training. Capturing outdoor environments offers extended horizon scenes but introduces challenge…
datacite
Rauniyar, Aditya, Corah, Micah, Scherer, Sebastian
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Despite the recent progress on 6D object pose estimation methods for robotic grasping, a substantial performance gap persists between the capabilities of these methods on existing datasets and their efficacy in real-world grasping and mobile manipulation tasks…
datacite
Younes, Abdelrahman, Asfour, Tamim
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
This study explores human perceptions of intelligent agents by comparing interactions with a humanoid robot and a virtual human avatar, both utilizing GPT-3 for response generation. The study aims to understand how physical and virtual embodiments influence pe…
datacite
Tarlan, Bora, Erdal, Nisa
2024
置信度 0.66
Human-Computer Interaction (cs.HC)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Designs incorporating kinematic loops are becoming increasingly prevalent in the robotics community. Despite the existence of dynamics algorithms to deal with the effects of such loops, many modern simulators rely on dynamics libraries that require robots to b…
datacite
Chignoli, Matthew, Slotine, Jean-Jacques, Wensing, Patrick M., Kim, Sangbae
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
This paper introduces a novel zero-shot motion planning method that allows users to quickly design smooth robot motions in Cartesian space. A Bézier curve-based Cartesian plan is transformed into a joint space trajectory by our neuro-inspired inverse kinematic…
datacite
Habekost, Jan-Gerrit, Gäde, Connor, Allgeuer, Philipp, Wermter, Stefan
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Recent advances in LLM have been instrumental in autonomous robot control and human-robot interaction by leveraging their vast general knowledge and capabilities to understand and reason across a wide range of tasks and scenarios. Previous works have investiga…
datacite
Bode, Jonas, Pätzold, Bastian, Memmesheimer, Raphael, Behnke, Sven
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
We present a novel algorithm for real-time planar semantic mapping tailored for humanoid robots navigating complex terrains such as staircases. Our method is adaptable to any odometry input and leverages GPU-accelerated processes for planar extraction, enablin…
datacite
Bin, Teng, Yao, Jianming, Lam, Tin Lun, Zhang, Tianwei
2024
置信度 0.66
Robotics (cs.RO)Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Soft object manipulation poses significant challenges for robots, requiring effective techniques for state representation and manipulation policy learning. State representation involves capturing the dynamic changes in the environment, while manipulation polic…
datacite
Liu, Junjia, Li, Chenzui, Wang, Shixiong, Dong, Zhipeng 等
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
The THÖR-MAGNI Dataset Tutorials THÖR-MAGNI datasets is a novel dataset of accurate human and robot navigation and interaction in diverse indoor contexts, building on the previous THÖR dataset protocol. We provide position and head orientation motion capture d…
datacite
Schreiter, Tim, Rodrigues de Almeida, Tiago, Zhu, Yufei, Gutierrez Maestro, Eduardo 等
2024
置信度 0.66
Human Robot InteractionHuman MotionComputer Vision
-
The THÖR-MAGNI Dataset Tutorials THÖR-MAGNI datasets is a novel dataset of accurate human and robot navigation and interaction in diverse indoor contexts, building on the previous THÖR dataset protocol. We provide position and head orientation motion capture d…
datacite
Schreiter, Tim, Rodrigues de Almeida, Tiago, Zhu, Yufei, Gutierrez Maestro, Eduardo 等
2024
置信度 0.66
Human Robot InteractionHuman MotionComputer Vision
-
The THÖR-MAGNI Dataset Tutorials THÖR-MAGNI datasets is a novel dataset of accurate human and robot navigation and interaction in diverse indoor contexts, building on the previous THÖR dataset protocol. We provide position and head orientation motion capture d…
datacite
Schreiter, Tim, Rodrigues de Almeida, Tiago, Zhu, Yufei, Gutierrez Maestro, Eduardo 等
2023
置信度 0.66
Human Robot InteractionHuman MotionComputer Vision
-
The THÖR-MAGNI Dataset Tutorials THÖR-MAGNI datasets is a novel dataset of accurate human and robot navigation and interaction in diverse indoor contexts, building on the previous THÖR dataset protocol. We provide position and head orientation motion capture d…
datacite
Schreiter, Tim, Rodrigues de Almeida, Tiago, Zhu, Yufei, Gutierrez Maestro, Eduardo 等
2024
置信度 0.66
Human Robot InteractionHuman MotionComputer Vision
-
Learning task models of bimanual manipulation from human demonstration and their execution on a robot should take temporal constraints between actions into account. This includes constraints on (i) the symbolic level such as precedence relations or temporal ov…
datacite
Dreher, Christian, Asfour, Tamim
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Humanoid robots could benefit from using their upper bodies for support contacts, enhancing their workspace, stability, and ability to perform contact-rich and pushing tasks. In this paper, we propose a unified approach that combines an optimization-based mult…
datacite
Rouxel, Quentin, Ferrari, Andrea, Ivaldi, Serena, Mouret, Jean-Baptiste
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
As humanoid robots transition from labs to real-world environments, it is essential to democratize robot control for non-expert users. Recent human-robot imitation algorithms focus on following a reference human motion with high precision, but they are suscept…
datacite
Mascaro, Esteve Valls, Lee, Dongheui
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Co-design optimization strategies usually rely on simplified robot models extracted from CAD. While these models are useful for optimizing geometrical and inertial parameters for robot control, they might overlook important details essential for prototyping th…
datacite
Vanteddu, Punith Reddy, Nava, Gabriele, Bergonti, Fabio, L'Erario, Giuseppe 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
How many ways are there to climb a staircase in a given number of steps? Infinitely many, if we focus on the continuous aspect of the problem. A finite, possibly large number if we consider the discrete aspect, \emph{i.e.} on which surface which effectors are …
datacite
Wang, Jiayi, Samadi, Saeid, Wang, Hefan, Fernbach, Pierre 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Close and precise placement of irregularly shaped objects requires a skilled robotic system. The manipulation of objects that have sensitive top surfaces and a fixed set of neighbors is particularly challenging. To avoid damaging the surface, the robot has to …
datacite
Kreis, Benedikt, Dengler, Nils, de Heuvel, Jorge, Menon, Rohit 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
We present a novel motion generation approach for robot arms, with high degrees of freedom, in complex settings that can adapt online to obstacles or new via points. Learning from Demonstration facilitates rapid adaptation to new tasks and optimizes the utiliz…
datacite
Chen, Nutan, Cseke, Botond, Aljalbout, Elie, Paraschos, Alexandros 等
2024
置信度 0.66
Robotics (cs.RO)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Deep reinforcement learning has seen successful implementations on humanoid robots to achieve dynamic walking. However, these implementations have been so far successful in simple environments void of obstacles. In this paper, we aim to achieve bipedal locomot…
datacite
Hamze, Marwan, Morisawa, Mitsuharu, Yoshida, Eiichi
2024
置信度 0.66
Robotics (cs.RO)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Although there has been rapid progress in endowing robots with the ability to solve complex manipulation tasks, generating control policies for bimanual robots to solve tasks involving two hands is still challenging because of the difficulties in effective tem…
datacite
Chu, Kun, Zhao, Xufeng, Weber, Cornelius, Li, Mengdi 等
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
This paper presents a three-layered architecture that enables stylistic locomotion with online contact location adjustment. Our method combines an autoregressive Deep Neural Network (DNN) acting as a trajectory generation layer with a model-based trajectory ad…
datacite
Romualdi, Giulio, Viceconte, Paolo Maria, Moretti, Lorenzo, Sorrentino, Ines 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
This paper presents advancements in the functionalities of the Recupera-Reha lower extremity exoskeleton robot. The exoskeleton features a series-parallel hybrid design characterized by multiple kinematic loops resulting in 148 degrees of freedom in its spanni…
datacite
Tijjani, Ibrahim, Kumar, Rohit, Boukheddimi, Melya, Trampler, Mathias 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences68-06
-
Accurate state estimation is crucial for legged robot locomotion, as it provides the necessary information to allow control and navigation. However, it is also challenging, especially in scenarios with uneven and slippery terrain. This paper presents a new Inv…
datacite
Santana, Hilton Marques Souza, Soares, João Carlos Virgolino, Nisticò, Ylenia, Meggiolaro, Marco Antonio 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Learning skills that interact with objects is of major importance for robotic manipulation. These skills can indeed serve as an efficient prior for solving various manipulation tasks. We propose a novel Skill Learning approach that discovers composable behavio…
datacite
Jansonnie, Paul, Wu, Bingbing, Perez, Julien, Peters, Jan
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Imitation learning from human motion capture (MoCap) data provides a promising way to train humanoid robots. However, due to differences in morphology, such as varying degrees of joint freedom and force limits, exact replication of human behaviors may not be f…
datacite
Zhao, Wenshuai, Zhao, Yi, Pajarinen, Joni, Muehlebach, Michael
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
We propose MR HuBo(Motion Retargeting leveraging a HUman BOdy prior), a cost-effective and convenient method to collect high-quality upper body paired pose data, which is essential for data-driven motion retargeting methods. Unlike existing approaches which co…
datacite
Figuera, Xiyana, Park, Soogeun, Ahn, Hyemin
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Engineering of Sport 15 - Proceedings from the 15th International Conference on the Engineering of Sport (ISEA 2024) The fluid force acting on a hand is known to be crucial in swimming, especially for the crawl, backstroke and butterfly strokes. In swimming re…
datacite
Nakashima, Motomu, Obu, Tetsuro
2024
置信度 0.66
-
Engineering of Sport 15 - Proceedings from the 15th International Conference on the Engineering of Sport (ISEA 2024) The fluid force acting on a hand is known to be crucial in swimming, especially for the crawl, backstroke and butterfly strokes. In swimming re…
datacite
Nakashima, Motomu, Obu, Tetsuro
2024
置信度 0.66
-
How do people use their faces and bodies to test the interactive abilities of a robot? Making lively, believable agents is often seen as a goal for robots and virtual agents but believability can easily break down. In this Wizard-of-Oz (WoZ) study, we observed…
datacite
Zhang, Chuxuan, Burkanova, Bermet, Kim, Lawrence H., Yip, Lauren 等
2024
置信度 0.66
Human-Computer Interaction (cs.HC)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Reinforcement Learning (RL) has progressed from simple control tasks to complex real-world challenges with large state spaces. While RL excels in these tasks, training time remains a limitation. Reward shaping is a popular solution, but existing methods often …
datacite
Nilaksh, Nilaksh, Ranjan, Abhishek, Agrawal, Shreenabh, Jain, Aayush 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciencesI.2.9
-
Large language models (LLMs) encode a vast amount of semantic knowledge and possess remarkable understanding and reasoning capabilities. Previous work has explored how to ground LLMs in robotic tasks to generate feasible and executable textual plans. However, …
datacite
Guo, Yanjiang, Wang, Yen-Jen, Zha, Lihan, Chen, Jianyu
2023
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Humanoid robots, with their human-like skeletal structure, are especially suited for tasks in human-centric environments. However, this structure is accompanied by additional challenges in locomotion controller design, especially in complex real-world environm…
datacite
Gu, Xinyang, Wang, Yen-Jen, Zhu, Xiang, Shi, Chengming 等
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)Systems and Control (eess.SY)FOS: Computer and information sciencesFOS: Computer and information sciences
-
The recent surge of interest in agile humanoid robots achieving dynamic tasks like jumping and flipping necessitates the concurrent design of a robot platform that combines exceptional hardware performance with effective control algorithms. This paper introduc…
datacite
Ning, Yan, Liu, Song, Yang, Taiwen, Zheng, Liang 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
This research investigates the impact of social robot participation in group conversations and assesses the effectiveness of various addressing policies. The study involved 300 participants, divided into groups of four, interacting with a humanoid robot servin…
datacite
Grassi, Lucrezia, Recchiuto, Carmine Tommaso, Sgorbissa, Antonio
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
This paper introduces Alter3, a humanoid robot that demonstrates spontaneous motion generation through the integration of GPT-4, Large Language Model (LLM). This overcomes challenges in applying language models to direct robot control. By translating linguisti…
datacite
Yoshida, Takahide, Baba, Suzune, Masumori, Atsushi, Ikegami, Takashi
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Performing acrobatic maneuvers like dynamic jumping in bipedal robots presents significant challenges in terms of actuation, motion planning, and control. Traditional approaches to these tasks often simplify dynamics to enhance computational efficiency, potent…
datacite
He, Zhicheng, Wu, Jiayang, Zhang, Jingwen, Zhang, Shibowen 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
The ability to accomplish manipulation and locomotion tasks in the presence of significant time-varying external loads is a remarkable skill of humans that has yet to be replicated convincingly by humanoid robots. Such an ability will be a key requirement in t…
datacite
Foster, James, McCrory, Stephen, DeBuys, Christian, Bertrand, Sylvain 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
On March 18, 2024, NVIDIA unveiled Project GR00T, a general-purpose multimodal generative AI model designed specifically for training humanoid robots. Preceding this event, Tesla's unveiling of the Optimus Gen 2 humanoid robot on December 12, 2023, underscored…
datacite
Dong, Haiwei, Liu, Yang, Chu, Ted, Saddik, Abdulmotaleb El
2024
置信度 0.66
Robotics (cs.RO)Multimedia (cs.MM)FOS: Computer and information sciencesFOS: Computer and information sciences
-
For humans, fast, efficient walking over flat ground represents the vast majority of locomotion that an individual experiences on a daily basis, and for an effective, real-world humanoid robot the same will likely be the case. In this work, we propose a locomo…
datacite
Fasano, Stefan, Foster, James, Bertrand, Sylvain, DeBuys, Christian 等
2023
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
A holistic understanding of object properties across diverse sensory modalities (e.g., visual, audio, and haptic) is essential for tasks ranging from object categorization to complex manipulation. Drawing inspiration from cognitive science studies that emphasi…
datacite
Tatiya, Gyan, Francis, Jonathan, Wu, Ho-Hsiang, Bisk, Yonatan 等
2023
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Training generally capable agents that thoroughly explore their environment and learn new and diverse skills is a long-term goal of robot learning. Quality Diversity Reinforcement Learning (QD-RL) is an emerging research area that blends the best aspects of bo…
datacite
Batra, Sumeet, Tjanaka, Bryon, Fontaine, Matthew C., Petrenko, Aleksei 等
2023
置信度 0.66
Machine Learning (cs.LG)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Dynamic locomotion in legged robots is close to industrial collaboration, but a lack of standardized testing obstructs commercialization. The issues are not merely political, theoretical, or algorithmic but also physical, indicating limited studies and compreh…
datacite
Weng, Bowen, Castillo, Guillermo A., Kang, Yun-Seok, Hereid, Ayonga
2023
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Mirroring non-verbal social cues such as affect or movement can enhance human-human and human-robot interactions in the real world. The robotic platforms and control methods also impact people's perception of human-robot interaction. However, limited studies h…
datacite
Fu, Di, Abawi, Fares, Allgeuer, Philipp, Wermter, Stefan
2024
置信度 0.66
Robotics (cs.RO)Human-Computer Interaction (cs.HC)FOS: Computer and information sciencesFOS: Computer and information sciences
-
The RoboCup Humanoid League holds annual soccer robot world championships towards the long-term objective of winning against the FIFA world champions by 2050. The participating teams continuously improve their systems. This paper presents the upgrades to our h…
datacite
Pavlichenko, Dmytro, Ficht, Grzegorz, Villar-Corrales, Angel, Denninger, Luis 等
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
We present ReLU-QP, a GPU-accelerated solver for quadratic programs (QPs) that is capable of solving high-dimensional control problems at real-time rates. ReLU-QP is derived by exactly reformulating the Alternating Direction Method of Multipliers (ADMM) algori…
datacite
Bishop, Arun L., Zhang, John Z., Gurumurthy, Swaminathan, Tracy, Kevin 等
2023
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
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Abstract Stereolithography (SLA) printers can create high quality complex parts at rapid rates through laser curing process. A wide range of materials can be used in this printing technique to produce parts for different applications. One such application is h…
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James Van Milligen, Merel Sutherland, William Michels, Pradeep Radhakrishnan
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Objective: A Compliant Joint of humanoid robot is a spring-loaded assembly, which is used to interact safely with the environment, and it helps to stabilized sudden shock and vibration in the robotic system. At the moment, compliant joints are required to opti…
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Alpeshkumar B Damor, Vinay J Patel
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The interplay between computational neuroscience and humanoid robotics, both historically and looking forward, is presented, with a particular focus on two significant projects: the ERATO Kawato Dynamic Brain and the ICORP Computational Brain. Discussion revol…
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Mitsuo Kawato
2023-11-03T05:51:57Z
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Indramani ., Arun Dayal Udai, Sanjoy K. Ghoshal
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Dongkun Han, Boyuan Shao
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The most fundamental oversight in Artificial Intelligence (AI) is probably the avoidance of conscious learning. The most widespread misconduct in AI seems to be Post-Selection. Avoiding conscious learning, we program humanoid robots that do not have the intent…
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Juyang Weng
2023-12-17T13:24:06Z
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Zida Zhao, Haodong Huang, Shilong Sun, Chiyao Li 等
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Aleksandar Krastev, Maya Dimitrova, Negoslav Sabev
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Raymond Beazley, William Engdahl, Alexandria Lehman, David Fournet 等
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This paper presents a first step towards controlling a neuroprosthesis or an exoskeleton with the power of one's mind. In this experiment, a brain-computer interface was used to control a humanoid robot, achieving an average accuracy of 88.53% across all users…
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Mitocaru Alexandru, Buzamat Alexandru, Poboroniuc Marian-Silviu, Irimia Danut Constantin 等
2024-12-26T19:06:11Z
置信度 0.70
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To address the issue of error-prone and unstable trajectory tracking and dynamic obstacle avoidance of mobile robots in locally observable nonlinear dynamic settings, a deep reinforcement learning (RL)-based visual perception, and decision-making system is pro…
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Wei Chen, Zebin Zhou
2023-08-12T03:35:56Z
置信度 0.70
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Achim Dannecker
2024-03-12T05:57:21Z
置信度 0.70
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Kehan Feng, Zhengping Duan, Chi Han, Zihan Guo 等
2024-10-18T17:27:32Z
置信度 0.70
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Humanoid robots are a rapidly evolving field of research and development that aims to create robots with human- l ike characteristics and capabilities. These robots possess a wide range of applications, from assisting humans in various tasks to exploring envir…
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Mr. Pawan P
2024-04-28T14:49:55Z
置信度 0.70
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Frederik Ostyn
2024-12-03T13:54:29Z
置信度 0.70
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Seyed Hamed Hashemi, Jouni Mattila
2024-12-03T18:54:29Z
置信度 0.70
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In this editorial dedicated to the special issue which celebrates the 20th anniversary of the International Journal of Humanoid Robotics (IJHR), we outline the history of IJHR.
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Ming Xie, John Weng, Giulio Sandini
2024-03-01T14:54:46Z
置信度 0.70
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Hayato Kobayashi, Sunkyoung Kim
2024-03-10T22:55:43Z
置信度 0.70
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europepmc
2026
置信度 0.80
-
europepmc
2026
置信度 0.80
-
europepmc
2026
置信度 0.80
-
europepmc
2026
置信度 0.80
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europepmc
2024
置信度 0.80
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europepmc
2026
置信度 0.80