Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations. - Neha Das; Maximilian Karl; Philip Becker-Ehmck; Patrick van der Smagt (CoRR, 2019)

Model-Based Inverse Reinforcement Learning from Visual Demonstrations. - Neha Das; Sarah Bechtle; Todor Davchev; Dinesh Jayaraman; Akshara Rai; Franziska Meier (CoRL, 2020)

Learning State-Dependent Losses for Inverse Dynamics Learning. - Kristen Morse; Neha Das; Yixin Lin; Austin S. Wang; Akshara Rai; Franziska Meier (IROS, 2020)

Learning Extended Body Schemas from Visual Keypoints for Object Manipulation. - Sarah Bechtle; Neha Das; Franziska Meier (CoRR, 2020)

Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. - Armin Lederer; Azra Begzadic; Neha Das; Sandra Hirche (CoRR, 2022)

Assessing Human-Human Kinematics for the Implementation of Robot-Assisted Physical Therapy in Humanoids: A Pilot Study. - Simone Nertinger; Neha Das; Satoshi Endo; Abdeldjallil Naceri; Sandra Hirche; Sami Haddadin (ICORR, 2023)

Time Series Classification for Detecting Parkinson's Disease from Wrist Motions. - Cedric Donié; Neha Das; Satoshi Endo; Sandra Hirche (CoRR, 2023)

Multimodal Learning of Keypoint Predictive Models for Visual Object Manipulation. - Sarah Bechtle; Neha Das; Franziska Meier (IEEE Trans. Robotics, 2023)

Online detection of compensatory strategies in human movement with supervised classification: a pilot study. - Neha Das; Satoshi Endo; Sabrina Patel; Carmen Krewer; Sandra Hirche (Frontiers Neurorobotics, 2023)

Framework for Learning a Hand Intent Recognition Model from sEMG for FES-Based control. - Neha Das; Satoshi Endo; Hossein Kavianirad; Sandra Hirche (BioRob, 2024)

Human Digital Twins in Rehabilitation: A Case Study on Exoskeleton and Serious-Game-Based Stroke Rehabilitation Using the ETHICA Methodology. - Martin Wolfgang Lauer-Schmaltz; Philip J. Cash; John Paulin Hansen; Neha Das (IEEE Access, 2024)