2 citations · 2 across the 12 of their papers we have counts for
4 papers · 1 filter
G-MAPP: GPU-accelerated Multi-Agent Planning and Perception for Reactive Motion Generation
Tanmay Bishnoi, Riddhiman Laha, Tobias Löw +3
Reactive motion generation in unstructured environments remains an open challenge in robotics. Due to the computational complexity of collision-free motion generation, existing met…
Optimal Control Approach for Non-prehensile Ball Juggling Using a 7-DoF Manipulator
Joel Ramadani, Vasilije Rakčević, Riddhiman Laha +4
Non-prehensile object manipulation skills are important for real-world robot interactions, enabling highly dynamic tasks such as balancing a glass on a tray or the controlled slidi…
Coupling Tensor Trains with Graph of Convex Sets: Effective Compression, Exploration, and Planning in the C-Space
Gerhard Reinerth, Riddhiman Laha, Marcello Romano
We present TANGO (Tensor ANd Graph Optimization), a novel motion planning framework that integrates tensor-based compression with structured graph optimization to enable efficient…
A Unified Complementarity-based Approach for Rigid-Body Manipulation and Motion Prediction
Bingkun Huang, Xin Ma, Nilanjan Chakraborty +1
Robotic manipulation in unstructured environments requires planners to reason jointly about free-space motion and sustained, frictional contact with the environment. Existing (loca…