This Research Topic investigates collaborative processes where humans and robots work together in industrial applications like assembly, materials handling, or surface treatment. To apply human-robot interaction (HRI) in industrial manufacturing means to combine the strength, speed, and precision of robots with the judgment, reasoning, and dexterity of human workers. The goal is to make manufacturing processes faster, more efficient and more ergonomic. However, the main challenge in human-robot collaboration (HRC) is to achieve, at the same time, a fast, efficient, safe, and intuitive interaction, in particular when physical contact between humans and robots is involved. Physical HRC integrates various aspects of robotics research, including novel mechanical and actuation principles, interaction planning and control, as well as machine learning to estimate the human state, intention prediction, and program by demonstration/imitation.
This Research Topic aims to present recent advances in the wide-ranging field of physical HRC in industrial manufacturing. This includes contributions to individual subfields such as modeling, planning, and control of human-robot interaction tasks, hardware architectures, collision detection and avoidance, but also integrative approaches such as frameworks for HRC. In addition, research on novel applications of HRC in industrial and other environments are welcome.
Submissions can include, but are not limited to, the following themes:
• Model-predictive control for human-robot collaboration tasks
• Variable impedance for safe human-robot interaction
• Sensor-less collision detection, classification and reaction
• Programming-from-demonstration of contact-rich interaction tasks
• Planning human-robot collaborative tasks
• Machine learning in human-robot interaction tasks
• Human state estimation and intent prediction
• Modeling human motion
• Novel hardware architectures for safe human-robot interaction
• Highly dynamic, intrinsically safe robots
• Applications: Collaborative transport, assembly and manufacturing, object handling and handover
José de Gea Fernández is with Yardstick Robotics GmbH. All other Topic Editors declare no competing interests with regards to the research topic subject.
Keywords:
Physical Human-Robot Interaction, Human aware motion planning & control, Collision detection & reaction, Intuitive robot programming, Safety in Human-Robot Interaction
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.
This Research Topic investigates collaborative processes where humans and robots work together in industrial applications like assembly, materials handling, or surface treatment. To apply human-robot interaction (HRI) in industrial manufacturing means to combine the strength, speed, and precision of robots with the judgment, reasoning, and dexterity of human workers. The goal is to make manufacturing processes faster, more efficient and more ergonomic. However, the main challenge in human-robot collaboration (HRC) is to achieve, at the same time, a fast, efficient, safe, and intuitive interaction, in particular when physical contact between humans and robots is involved. Physical HRC integrates various aspects of robotics research, including novel mechanical and actuation principles, interaction planning and control, as well as machine learning to estimate the human state, intention prediction, and program by demonstration/imitation.
This Research Topic aims to present recent advances in the wide-ranging field of physical HRC in industrial manufacturing. This includes contributions to individual subfields such as modeling, planning, and control of human-robot interaction tasks, hardware architectures, collision detection and avoidance, but also integrative approaches such as frameworks for HRC. In addition, research on novel applications of HRC in industrial and other environments are welcome.
Submissions can include, but are not limited to, the following themes:
• Model-predictive control for human-robot collaboration tasks
• Variable impedance for safe human-robot interaction
• Sensor-less collision detection, classification and reaction
• Programming-from-demonstration of contact-rich interaction tasks
• Planning human-robot collaborative tasks
• Machine learning in human-robot interaction tasks
• Human state estimation and intent prediction
• Modeling human motion
• Novel hardware architectures for safe human-robot interaction
• Highly dynamic, intrinsically safe robots
• Applications: Collaborative transport, assembly and manufacturing, object handling and handover
José de Gea Fernández is with Yardstick Robotics GmbH. All other Topic Editors declare no competing interests with regards to the research topic subject.
Keywords:
Physical Human-Robot Interaction, Human aware motion planning & control, Collision detection & reaction, Intuitive robot programming, Safety in Human-Robot Interaction
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.