Aditya Bhatt

Aditya Bhatt joined the Intelligent Autonomous Systems Group in November 2022. He is employed as a researcher at DFKI, supervised by Boris Belousov and Jan Peters. Having previously designed dexterous manipulation strategies with soft robot hands, he now aims to exploit the principles of compliance and model-free feedback control as inductive biases for learning manipulation skills. His goal is to get robots to learn dexterous manipulation skills efficiently from as little data as possible.

Publications

  •       Bib
    Bhatt, A.; Palenicek, D.; Belousov, B.; Argus, M.; Amiranashvili, A.; Brox, T.; Peters, J. (2024). CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity, International Conference on Learning Representations (ICLR).
  •       Bib
    Bhatt, A.; Sieler, S.; Puhlmann, S.; Brock, O. (2021). Surprisingly Robust In-Hand Manipulation: An Empirical Study, Robotics: Science and Systems.