Aniketh Ramesh

Extreme Robotics Laboratory, University of Birmingham

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Human-Multirobot Teaming researcher

Teams of the future will consist of robots and humans. My research explores how to best achieve synergy in such teams. More specifically, I design experiments to understand how human-multirobot teams work in practice, especially when the robots are capable of different behaviours. This requires careful examination of human and robot capabilities, their limitations and how different interaction design choices can affect them. My research is highly interdisciplinary, combining insights from fields like swarm intelligence, robotics, machine learning, UX design, theory of mind, and psychology. Currently my work is focused on applying the ‘Robot Vitals and Robot Health’ framework to robotic missions in extreme environments.

When I’m not in my lab, I write boastful website bios hoping to impress a future research prospect. I also fiddle with my musical instruments (which my flatmates aren’t very fond of), philosophize everything, stack random facts about random things and practice the art of making bad jokes.

news

Oct 5, 2023 Presented ‘Experimental Evaluation of Model Predictive Mixed-Initiative Variable Autonomy Systems Applied to Human-Robot Teams’ at for SMC 20203.
May 23, 2023 Paper Titled ‘Model Predictive Control of the Degree of Automation Optimizing Robot Health’ accepted for SACI 20203
Mar 17, 2023 Giving a talk at Umea University titled ‘Towards Triaging Human-Robot Teams’.
Mar 3, 2023 Paper Titled Model Predictive Degree of Automation Regulation for Mobile Robots Using Robot Vitals and Robot Health accepted for IFAC 2023
Mar 3, 2023 Activites at HRI 2023
Feb 20, 2023 Workshop paper for the VAT4HRI accepted. Going to HRI’2023
Oct 26, 2022 Attended IROS 2022 and presented my Journal article on Robot Vitals and Robot Health.
Jun 22, 2022 Attended the Ellis Machine Learning Summer School at the University of Cambridge

selected publications

  1. RobotVitals
    Robot vitals and robot health: Towards systematically quantifying runtime performance degradation in robots under adverse conditions
    Aniketh RameshRustam Stolkin, and Manolis Chiou
    IEEE Robotics and Automation Letters, 2022