We invite participation in a Workshop at the 2017 American Control Conference (Seattle, USA) entitled “Modeling and Intelligent Control Methods for Human-Robot Interaction”.
The workshop abstracts can be found on the ACC2017 website (http://acc2017.a2c2.org/workshops.html).
The workshop website is http://yue6.people.clemson.edu/ACC17_HRI/index.php
Location: Cedar, Sheraton Seattle Hotel
Date: May 23, 2017, Seattle, WA, USA
REGISTRATION: Workshop attendees register on the conference registration site (https://css.paperplaza.net/registration/index.php).
About the Workshop:
An increasing number of control researchers have been putting efforts in human-robot interaction (HRI). This attention on new intelligent control methods for HRI is motivated by the benefit of synergizing human intelligence with collaborative robots to improve the joint human-robot system performance and reduce manpower and workload. There is a significant number of civilian and military applications where autonomous robots, endowed with communication, sensing and actuation capabilities perform tasks with a human-in-the-loop, to achieve a desired global goal. However, the model, analysis, and implementation of effective HRI remain largely an open problem. There is a great demand for verifiable, reliable, and scalable algorithms to serve HRI systems, where the control systems theory and engineering can contribute significantly.
The workshop aims to present new developments in the modeling and control of human-robot interaction (HRI), especially methods that enable the collaboration between humans and robotic systems. This is an interdisciplinary research area across the controls, robotics, and human factors communities. We wish to identify the key challenges of robot control with a human-in-the-loop, to explore the degree to which core elements of control theory contribute to HRI, and to anticipate the future innovation in bringing human and autonomous robotic systems together. This workshop aims at promoting a discussion to identify and define the overarching ideas that can tie together different research directions in control theory and HRI. The workshop encourages the participation of young researchers in controls, robotics, and human factors, and promote the discussion between the speakers and the audience.
This full-day workshop is supported by the IEEE CSS Technical Committee on Manufacturing, Automation, and Robotic Control.
- Dr. Alessandro Astofi (Imperial College, UK): Shared-Control for Vehicles
- Dr. Magnus Egerstedt (Georgia Institute of Technology, USA): Coverage-Based Human-Swarm Interactions
- Dr. Sandra Hirche (Technische Universität München, Germany): Control in Physical Human-Robot Interaction
- Dr. Daniel Kruse (SRI International, USA): Bimanual Human-Robot Interation
- Dr. Yasamin Mostofi and Mr. Herbet Cai (University of California, Santa Barbara Santa Barbara, USA): Predicting Human Performance in Human-Robot Collaborations
- Dr. Yue Wang (Clemson University, USA): Trust-Based Control, Decision-Making, and Motion Planning for Human-Robot Collaboration Systems
- Dr. Fumin Zhang (Georgia Institute of technology, USA): Learning Human Preferences through Actions and Reactions
- Dr. Panos Antsaklis (University of Notre Dame, USA)
- Dr. Sandra Hirche (Technische Universität München, Germany)
- Dr. Ian Walker (Clemson University, USA)
- Dr. Fumin Zhang (Georgia Institute of technology, USA)
- Dr. Yue Wang, Clemson Univeristy, USA
- Dr. Fumin Zhang, Georgia Tech, USA
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