activity
20222026
most citedA Solution to Slosh-free Robot Trajectory Optimization

2 citations · 2 across the 12 of their papers we have counts for

collaborators

12 papers

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2025

GeoPF: Infusing Geometry into Potential Fields for Reactive Planning in Non-trivial Environments

Yuhe Gong, Riddhiman Laha, Luis Figueredo

Reactive intelligence remains one of the cornerstones of versatile robotics operating in cluttered, dynamic, and human-centred environments. Among reactive approaches, potential fi…

cs.RO2025

Unifying Complementarity Constraints and Control Barrier Functions for Safe Whole-Body Robot Control

Rafael I. Cabral Muchacho, Riddhiman Laha, Florian T. Pokorny +2

Safety-critical whole-body robot control demands reactive methods that ensure collision avoidance in real-time. Complementarity constraints and control barrier functions (CBF) have…

cs.RO2025

GIFT: Geometry-Induced Functional Transfer for Category-level Object Manipulation

Cristiana de Farias, Luis Figueredo, Riddhiman Laha +5

Robotic manipulation of unfamiliar objects in new environments is challenging due to limited generalisation capabilities. We propose a new skill transfer framework, GIFT (Geometry-…

cs.RO2024

On the Synthesis of Reactive Collision-Free Whole-Body Robot Motions: A Complementarity-based Approach

Haowen Yao, Riddhiman Laha, Anirban Sinha +4

This paper is about generating motion plans for high degree-of-freedom systems that account for collisions along the entire body. A particular class of mathematical programs with c…

cs.RO2024

A General Formulation for Path Constrained Time-Optimized Trajectory Planning with Environmental and Object Contacts

Dasharadhan Mahalingam, Aditya Patankar, Riddhiman Laha +3

A typical manipulation task consists of a manipulator equipped with a gripper to grasp and move an object with constraints on the motion of the hand-held object, which may be due t…

cs.RO2024

Geometric Slosh-Free Tracking for Robotic Manipulators

Jon Arrizabalaga, Lukas Pries, Riddhiman Laha +3

This work focuses on the agile transportation of liquids with robotic manipulators. In contrast to existing methods that are either computationally heavy, system/container specific…

cs.RO2022★ 2 cited

A Solution to Slosh-free Robot Trajectory Optimization

Rafael I. Cabral Muchacho, Riddhiman Laha, Luis F. C. Figueredo +1

This paper is about fast slosh free fluid transportation. Existing approaches are either computationally heavy or only suitable for specific robots and container shapes. We model t…

cs.RO2022

Coordinate Invariant User-Guided Constrained Path Planning with Reactive Rapidly Expanding Plane-Oriented Escaping Trees

Riddhiman Laha, Ruiai Sun, Wenxi Wu +4

As collaborative robots move closer to human environments, motion generation and reactive planning strategies that allow for elaborate task execution with minimal easy-to-implement…