3 papers
cs.LG2025
Learning Particle Dynamics Subject to Rigid Body Manipulations Using Graph Neural Networks
Niteesh Midlagajni, Constantin A. Rothkopf
Simulating particle dynamics with high fidelity is crucial for solving real-world interaction and control tasks involving liquids in design, graphics, and robotics. Recently, data-…
cs.RO2020
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze
Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni +3
As robots become more present in open human environments, it will become crucial for robotic systems to understand and predict human motion. Such capabilities depend heavily on the…
cs.RO2020
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks
Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint +1
Motion prediction in unstructured environments is a difficult problem and is essential for safe and efficient human-robot space sharing and collaboration. In this work, we focus on…