About this Research Topic
In recent years, robots have widely penetrated human society in terms of industry, rehabilitation, education, etc. However, with the complication of the working environment and elaboration of the task, traditional autonomous robots cannot meet the current needs. Human-robot collaboration (HRC) based robots, such as telerobots, ectoskeleton, supernumerary robotic limbs, and humanoid robots, have emerged as a hot research topic and are widely utilized in industry and daily life. By collaborating with humans efficiently, these robots can perform complex collaborative tasks in uncertain environments with advanced sensing and control technology. In addition, these robots can be updated their control strategies according to human intervention in unstable or stable environments for elaborated and complicated tasks by allocating the robot’s capabilities and human intelligence.
This development of HRC-based robots has been achieved through interdisciplinary research, including sensing and control, intention perception, human motor control, vision control, obstacle avoidance, learning models, etc. However, the performance of HRC-based robots still cannot meet human expectations for complicated and elaborated tasks. It is a major issue to be addressed how to improve the efficiency of HRC -based robots through academic exchanges and cooperative research. Meanwhile, while HRC-based robots have been investigated in different fields from academia to industry, a professional and comprehensive platform to integrate this research is missing. In order to facilitate the development of HRC-based robots in sensing and control, this issue aims to bring together researchers from industry and academia to discuss the latest development and research of HRC-based robots.
This Research Topic will cover topics including new sensors, intelligence perception, shared control, robot vision, human motion planning, and human-robot collaboration. This Research Topic will focus on recent progress and multi-disciplinary technologies with practical potential and far-reaching real-world implications. We welcome researchers to share their latest research findings from both academia and industry, including but not limited to the following:
• Novel hardware design for HRC-based robots.
• Multimodal sensors and their applications.
• Intelligent perception.
• Sensing and control for physical HRC.
• Advanced control (e.g., shared control) for efficient HRC.
• Decision-making for efficient HRC.
• Learning from humans for efficient HRC.
• AI for efficient HRC.
• Other related topics
This development of HRC-based robots has been achieved through interdisciplinary research, including sensing and control, intention perception, human motor control, vision control, obstacle avoidance, learning models, etc. However, the performance of HRC-based robots still cannot meet human expectations for complicated and elaborated tasks. It is a major issue to be addressed how to improve the efficiency of HRC -based robots through academic exchanges and cooperative research. Meanwhile, while HRC-based robots have been investigated in different fields from academia to industry, a professional and comprehensive platform to integrate this research is missing. In order to facilitate the development of HRC-based robots in sensing and control, this issue aims to bring together researchers from industry and academia to discuss the latest development and research of HRC-based robots.
This Research Topic will cover topics including new sensors, intelligence perception, shared control, robot vision, human motion planning, and human-robot collaboration. This Research Topic will focus on recent progress and multi-disciplinary technologies with practical potential and far-reaching real-world implications. We welcome researchers to share their latest research findings from both academia and industry, including but not limited to the following:
• Novel hardware design for HRC-based robots.
• Multimodal sensors and their applications.
• Intelligent perception.
• Sensing and control for physical HRC.
• Advanced control (e.g., shared control) for efficient HRC.
• Decision-making for efficient HRC.
• Learning from humans for efficient HRC.
• AI for efficient HRC.
• Other related topics
Keywords: Sensor Integration and Fusion, Learning Control Algorithms, Multimodal Sensing, Human-Robot Interaction and Collaboration, Interactive Learning for HRC, AI for Efficient HRC, Learning Control and Optimization
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
