This workshop aims to focus on the horizons of intelligent human augmentation in medical robotic systems. We will collect some of the most recent developments related to the augmentation of sensorimotor capabilities of human operators in robot-assisted medical settings. We would like to show how intelligent robotic agents can help human operators to go beyond natural sensorimotor competence and transcend the pathological and physiological barriers to achieve superior outcomes. This will reveal how intelligent robotic systems are changing medical practice by extending the capabilities of human operators.
Topics to be discussed span three main themes, namely human-robot communication, integration, and co-adaptation.
Communication focuses on the modality and quality of information exchange between a human user and a robot. Information exchange in the sensorimotor loop can be multimodal including haptics, auditory, and visual cues.
Integration focuses on how the human nervous system connects with machine intelligence in a cyber-human robotic system and how this intelligence (natural and artificial) fusion can result in higher performance.
Co-adaptation focuses on a mutual adaptation process whereby the robot adapts to the human’s action/reaction, and the human adapts to the robot’s action/reaction. Of interest is research discussing how over time robotic systems can learn to better interpret and respond to a human user’s commands (and, in this process, better augment their sensorimotor competence) as the human user learns how to generate proper inputs for achieving a higher agency over task conduction with the use of the adaptable robot.
In this workshop, we aim to collect state-of-the-art research from the leading research teams and discuss the existing challenges and the future vision of this field. Topics related to robot learning, control, intelligence, and autonomy will be discussed in the context of technologies that can augment the sensorimotor capabilities of human users. Various research on human sensorimotor augmentation through surgical and neurorehabilitative robotics will be presented in this workshop. For instance, discussing how robotics can provide surgeons with super-human precision during surgery or physiotherapists with real-time feedback of patient information will be of interest.
Jaydev P. Desai, Georgia Institute of Technology, US
Jeremy Brown, Johns Hopkins University, US
Damiano Zanotto, Stevens Institute of Technology, US.
Aaron Young, Georgia Institute of Technology, US
Mojtaba Sharifi, SanJose State University, US
Nicholas Fey, The University of Texas at Austin
Delsys Inc., MA, USA
Mahdi Tavakoli, University of Alberta, Canada
S. Farokh Atashzar, New York University, US
(Time Zon: Eastern Time)
8:30-9:00: S. Farokh Atashzar (New York University, USA), Opening + Talk
9:00-9:10: Q&A
9:10-9:40: Jaydev Desai (Georgia Institute of Technology, USA),
9:40-9:50: Q&A
9:50-10:30: Break
10:30-11:00: Mahdi Tavakoli (University of Alberta, Canada),
11:00-11:10: Q&A
11:10-11:40: Jeremy Brown (Johns Hopkins University, USA)
11:40-11:50: Q&A
11:50-13:00: Lunch Break
13:00-13:30: Damiano Zanotto (Stevens Institute of Technology, USA)
13:30- 13:40- Q&A
13:40-14:10: Aaron Young (Georgia Institute of Technology, USA)
14:10-14:20: Q&A
14:20-14:50: Nicholas Fey (The University of Texas at Austin, USA)
14:50-15:00: Q&A
15:00-15:30: Break
15:30-16:00: Mojtaba Sharifi (University of Alberta, Canada)
16:00-16:10: Q&A
16:10-16:40: Delsys
16:40-16:50: Q&A
16:50-17:00: Closing remarks.
Full day.
Topics of Interest:
● Cyber-human medical robotic systems
● Human-robot communication in medical robotic systems
● Human-robot integration in medical robotic systems
● Human-robot co-adaptation in medical robotic systems