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20222026
most citedA Solution to Slosh-free Robot Trajectory Optimization

2 citations · 2 across the 4 of their papers we have counts for

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cs.RO2025

The First WARA Robotics Mobile Manipulation Challenge -- Lessons Learned

David Cáceres Domínguez, Marco Iannotta, Abhishek Kashyap +21

The first WARA Robotics Mobile Manipulation Challenge, held in December 2024 at ABB Corporate Research in Västerås, Sweden, addressed the automation of task-intensive and repetitiv…

cs.RO2025

Data-augmented Learning of Geodesic Distances in Irregular Domains through Soner Boundary Conditions

Rafael I. Cabral Muchacho, Florian T. Pokorny

Geodesic distances play a fundamental role in robotics, as they efficiently encode global geometric information of the domain. Recent methods use neural networks to approximate geo…

cs.RO2024

CageCoOpt: Enhancing Manipulation Robustness through Caging-Guided Morphology and Policy Co-Optimization

Yifei Dong, Shaohang Han, Xianyi Cheng +5

Uncertainties in contact dynamics and object geometry remain significant barriers to robust robotic manipulation. Caging mitigates these uncertainties by constraining an object's m…

cs.RO2024

Multi-Agent Obstacle Avoidance using Velocity Obstacles and Control Barrier Functions

Alejandro Sánchez Roncero, Rafael I. Cabral Muchacho, Petter Ögren

Velocity Obstacles (VO) methods form a paradigm for collision avoidance strategies among moving obstacles and agents. While VO methods perform well in simple multi-agent environmen…

cs.RO20222 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…