- Online detection of compensatory strategies in human movement with supervised classification: a pilot study. Frontiers in Neurorobotics 17, 2023 mehr…
- Assessing Human-Human Kinematics for the Implementation of Robot-Assisted Physical Therapy in Humanoids: A pilot study. The International Conference on Rehabilitation Robotics (ICORR) 2023, 2023 mehr…
- Deep Learning based Uncertainty Decomposition for Real-time Control. 2023, The 22nd World Congress of the International Federation of Automatic Control, 2023 mehr…
- Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. 2023, The 22nd World Congress of the International Federation of Automatic Control, 2023 mehr…
M.Sc. Neha Das
Technical University of Munich
Chair of Information-oriented Control (Prof. Hirche)
- Phone: +49 (89) 289 - 25729
- Homepage
- neha.das@tum.de
Short Biography
- 10/2020 - present: PhD candidate at Chair of Information-Oriented Control (ITR), Technical University of Munich (TUM), Germany.
- Projects: Part of ReHyb, COMAN, conPDMode, Preference-based control
- 2019 - 2020: AI Resident, Facebook, U.S.A.
- Projects: Inverse Dynamics Learning, Inverse Reinforcement Learning
- 2016 - 2019: Masters in Informatics, Technical University of Munich, Germany.
- Projects: Intrinsically Motivitated Control, 3D Semantic segmentation of Human Bodies, Computer Vision, Machine Learning
- 2009 - 2013: B.Sc. in Software Engineering, Delhi Technological University, India.
- Projects: Algorithms, Datastructures, Artificial Bee Colony Analysis (Final Project)
Research Interests
My research interests include
- system identification
- reinforcement learning
- control for rehabilitation
- learning-based control from user preferences
- meta learning
For Prospective Students
If you are interested in doing a Forshungpraxis and/or a Bachelor's or Master's Thesis under my supervision, then please contact me via Email (neha.das@tum.de), along with your CV and grades.