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Visual navigation is an important research field in robotics due to low cost of cameras and the good results that these systems usually achieve. This paper presents monocular and stereo vision-based detection methods. The obstacles are detected and fused throu…
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Vitor M. Utino, Denis F. Wolf, Fernando S. Osorio
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We present a multi-modal dataset collected in a soybean crop field, comprising over 2 hours of recorded data from sensors such as stereo infrared camera, color camera, accelerometer, gyroscope, magnetometer, GNSS (Single-Point Positioning, Real-Time Kinematic,…
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Crimson Publishers is an Open-access academic publisher has a vision to establish Open Science platform that seeks to provide equal opportunity for all, share and create knowledge, and enables the scholarly world to engage in a dialogue with the science in a m…
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CDSR 2025 is aimed to become one of the leading international annual conferences in fields related to traditional and modern control and dynamic systems.This conference will provide excellent opportunities to the scientists, researchers, industrial engineers, …
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The phenomenon of the “traveling wave,” com- monly observed in various organisms, involves a wave that propagates along the body, serving as a locomotion mechanism. Particularly, in aquatic environments, organisms such as fish and cetaceans utilize traveling w…
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This chapter explores how large language models (LLMs) enable robotic planning, control, and mapping through techniques like supervised fine-tuning (SFT) and direct preference optimization (DPO). It covers transformer-based models such as SayCan and RT-1, whic…
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To address the challenges of unstructured terrain, repetitive geometric structures, and significant inertial disturbances in agricultural environments, this paper proposes a robust LiDAR-inertial simultaneous localization and mapping (SLAM) system for agricult…
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Agriculture remains one of the most vital sectors for human survival, providing essential food resources and contributing significantly to the economy. Various technologies have been developed to enhance agricultural production, including seed irradiation. Res…
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In the Mediterranean region, sensu stricto, the agricultural soils are located in a remarkable physical and human geographical context. Mediterranean agricultural soils were used in rural landscapes that often had a shared heritage, characterized by old land u…
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We are pleased to announce the second special issue on Nursing Robotics, following the success of the first issue: Volume 39, Issue 15. This Special Issue aims to further advance nursing robotics–t...
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This paper presents a pedagogical proposal for introducing robotics education to children aged 8 to 17 in public schools, with a specific focus on 3D printing and robot construction. Grounded in constructionist learning theory, the approach combines theoretica…
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Accurate dense depth estimation from sparse LiDAR measurements is a fundamental challenge in mobile robotics, particularly for service robots, delivery robots, and autonomous mobile platforms operating in complex indoor and outdoor environments. The economic c…
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Kidney diseases, especially those that affect the glomeruli, have become more common worldwide in recent years. Accurate and early detection of glomeruli is critical for accurately diagnosing kidney problems and determining the most effective treatment options…
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This article describes a new multivalve configuration for achieving both high speed and high resolution in pneumatically driven soft robotic actuators. The proposed method utilizes dual on/off valves with differing orifice sizes in both the charge and discharg…
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This chapter outlines future directions in robotics, emphasizing the importance of building strong robot foundation models by framing robotics as a visionlanguage problem. It highlights key challenges such as motion generalization, scaling visual-language-acti…
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A significant portion of the global food supply comes from aquaculture. One of the most important factors ensuring a steady supply of food around the world is aquaculture, which accounts for almost 50% of all aquatic production. A shortage of personnel, issues…
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We propose a deep learning-based Attention-Assisted Dual-Branch Interactive Network (ADBINet) to improve facial super-resolution by addressing key challenges like inadequate feature extraction and poor multi-scale information handling. ADBINet features a multi…
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This chapter discusses the advancements in AI-driven robotics, enabling robots to adapt and generalize to dynamic environments beyond controlled research settings. It covers key principles of robotic operation, classification, and learning paradigms, emphasizi…
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Well-established model-based methods or good old-fashioned engineering can bootstrap learning-based robot systems.
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Evaluating the performance of harvesting robots is challenging due to the complexity of cultivation environments. Accurate assessment requires evaluating both individual actions—recognition, approach, insertion, and grasping—and overall system performance. Thi…
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2025
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Teleoperation in agricultural environments requires enhanced situational awareness for effective architectural scouting and decision-making for orchard management applications. The dynamic complexity of orchard structures presents challenges for remote visuali…
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The application of orchard inspection robots has become increasingly widespread. How-ever, achieving autonomous navigation in unstructured environments continues to pre-sent significant challenges. This study investigates the Simultaneous Localization and Mapp…
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Underwater research is often constrained by the specialized expertise, high costs, and dedicated facilities required for traditional aquatic experiments, limiting participation from smaller research groups. In response, we introduce an open-source miniature un…
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2026
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Invasive plant species threaten biodiversity, disrupt ecosystems, and are costly to manage. Standard control methods, such as mechanical and chemical (herbicides), are usually ineffective and time-consuming and negatively affect the environment, especially in …
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2025
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Starting in the 1970s with robots that were physically isolated from contact with their human co-workers, robots now collaborate with human workers towards a common task goal in a shared workspace. This type of robotic device represents a new era of workplace …
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2025
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Climate change intensifies biotic and abiotic stresses, threatening global crop productivity. High-throughput phenotyping (HTP) technologies provide a non-destructive approach to monitor plant responses to environmental stresses, offering new opportunities for…
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The two-spotted spider mite (Tetranychus urticae Koch) is a globally significant agricultural pest with high reproductive capacity, rapid development, and frequent evolution of miticide resistance. Breeding and selection of resistant host cultivars represent a…
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This comprehensive review synthesizes current advances and persistent challenges in integrating worker safety and food safety through human-robot collaboration (HRC) in poultry processing. Rapid industry expansion and rising consumer demand for ready-to-eat po…
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2026
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Collaborative robotics is a very promising technology for many industrial processes, including e.g., manufacturing, logistics, or construction. This new technology are also changing the environment for workers in industry. Research on human-robot interaction (…
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2025
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Cotton is a vital economic crop in global agriculture and the textile industry, contributing significantly to food security, industrial competitiveness, and sustainable development. Traditional technologies such as spectral imaging and machine learning improve…
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Introduction The Research Alliance for Veterinary Science and Biodefense BSL-3 Network (RAV3N) convened an "Applied Biorisk and Biosafety Gap Assessment Workshop" held February 9-10, 2023, in Baltimore, Maryland. As the global prevalence, complexity, and sever…
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Integrating Industry 4.0 technologies into food manufacturing processes transforms traditional quality management practices. This study aims to understand how these technologies are applied across managerial quality functions in the food industry. A systematic…
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Maize ( Zea mays L.) is a significant staple food crop in the developing world. Despite its significance, diseases and pests are limiting its supply. Farmers have primarily relied on synthetic chemicals as control measures; however, these chemicals are harmful…
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2026
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The accurate acquisition of safflower filament information is the prerequisite for robotic picking operations. To detect safflower filaments accurately in different illumination, branch and leaf occlusion, and weather conditions, an improved Faster R-CNN model…
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The initial planning for this Congress in late 2009/early 2010, came against the background of the global financial crisis, the 2007–2008 spike in world commodity prices and the meeting in Copenhagen Climate Conference in December 2009. These events appeared t…
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2011-07-26T17:50:27Z
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Robotic systems are used to perform maintenance functions in hazardous environments usually with the fundamental objective of reducing, or eliminating, human worker exposure to dangers. An obvious thought is how might Internet capabilities be used in such oper…
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2002-10-01T21:48:37Z
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Journal Article List of reviewers Get access European Review of Agricultural Economics, Volume 23, Issue 4, 1996, Pages 521–522, https://doi.org/10.1093/erae/23.4.521 Published: 01 December 1996
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2012-04-18T20:58:28Z
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