Multisensory Robot Learning

I am a PhD researcher in the Interactive Robot Perception & Learning (PEARL) Lab at TU Darmstadt, where I joined in August 2023, advised by Prof. Georgia Chalvatzaki.

My research focuses on multisensory robot learning — pretraining on vision, force, and proprioception to enable efficient real-world reinforcement learning. It also spans, combining tactile sensors that operate at different spatial and temporal resolutions to solve complex tasks through imitation learning, as well as collecting and learning from vision-tactile-audio data. The goal is to advance robots' perception of the world to solve complex manipulation tasks.

I hold master's degrees in Computational Engineering and Autonomous Systems from the Technical University of Darmstadt, specializing in robotics and artificial intelligence. Previously, I completed my B.Sc. in Mechanical Engineering.

News

Gave a Young Speakers Talk at the IROS workshop Touch-to-Action.

“Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning” published in IEEE Robotics and Automation Letters.

Attended the German Robotics Conference (GRC) 2026.

Gave a talk at PINLab, Sapienza University of Rome.

Attended CoRL 2025 and Humanoids 2025.

“The Role of Embodiment in Intuitive Whole-Body Teleoperation for Mobile Manipulation” accepted at Humanoids 2025.

Organized IWIALS 2024, the International Workshop on Intelligent Autonomous Learning Systems, with over 100 researchers from 7 labs.

Joined the Interactive Robot Perception & Learning (PEARL) Lab at TU Darmstadt as a PhD researcher.

Publications

PolyUMI project logo

Preprint

C. Wood*, R. Krohn*, A. Ramaswami, A. Ramaswami, N. Dengler, K. M. Lynch, J. E. Colgate, G. Chalvatzaki, M. L. Elwin*Equal contribution