The goal for this workshop is to present recent advancement of human-autonomy interaction and integration. This session is sponsored by the technical committee on Manufacturing Automation and Robotic Control of IEEE CSS. This workshop is motivated by a healthy growth of the body of research in many areas related to systems and control, including but not limited to, design and verification of safe co-robots in an industrial environment, autonomous or assisted driving on highways, human on-the-loop control and monitoring of swarms of unmanned vehicles, and assist-as-needed control of wearable robotics. Canonical control systems design and analysis tools have found their way into solving a small subset of problems, but are still largely on a case-by-case basis. Research in this domain require a good balance between model-based methods and learning-based methods, and between fully autonomy and human guidance. Major challenges naturally arise in addressing the lack of first principles and proven mathematical models for human intentions and human behaviors. We have envisioned that the control community will play a more crucial role in human autonomy interaction and integration by taking on challenges including: joint decision making, verifiable safety, learning based adaptation, workload and comfort management, trust calibration and control. We aim to report recent research achievements and identify these relevant challenges, as well as a review for testbed and facilities for this domain of research. We have organized a full-day workshop on human robot interaction for ACC 2017. Since then, there have been significant advancements on human autonomy interaction and integration. The field of human robot interaction and cyber physical human systems is booming with several dedicated workshops and invited sessions appeared in major control and robotics conferences. The proposed ACC 2021 workshop will focus more on autonomous systems with human in/on the loop based on integration of classical control theories with recent progress in learning, human factor research, as well as ergonomic designs.
Intended Audience: We envision the session will be of interest to control theorists, robotics researchers, and computer scientists alike. Through these sessions, we have invited researchers from different backgrounds to discuss different approaches in addressing related problems. It is our hope that participants will draw inspirations from colleagues with different expertise, hence further their own quests. We believe this timely session proposal will be very much appealing to the general public of the conference.
For up-to-date information regarding this workshop, please link to this Workshop on Recent Advancement of Human Autonomy Interaction and Integration.
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- Talk 1: Interactive Robotics through the Lens of Control Theory, Dorsa Sadigh
- Talk 2: Design and verification of safe co-robots, Dr. Changliu Liu
- Talk 3: Enabling human-aware automation: a dynamical systems perspective on human
Cognition, Dr. Neera Jain
- Talk 4: Trust and Risk in Human-Robot Collaboration: Modeling, Control, and Learning Approaches, Yue Wang
- Talk 5: Building Human-Robot Symbiosis for Intelligent Physical Assistance and Social
Interaction, Dr. Wenlong Zhang
- Talk 6: Objective Learning from Sparse Human Inputs, Dr. Shaoshuai Mou
- Talk 7: Learning and Predicting Human Intentions Through Interactions, Dr. Fumin Zhang