Autonom Talks - Arash Ajoudani: Learning and control for interactive robots

Autonomy Talks - 03/28/23

Speaker: Dr. Arash Ajoudani, IIT

Title: Learning and control for interactive robots

Abstract: To create socio-physically interactive robots, learning- and model-based techniques must come together for the estimation of human physical and cognitive states in real-time. Subsequently, robot behaviors can be adapted to adjust these states, e.g., by changing the task trajectories, robot execution speed, impedance, and similar. This talk will first present our approach in modeling of human socio-physical states in real-time. Next, the control of mobile collaborative robots by taking human states into consideration will be presented.

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