← Search

Rafael I. Cabral Muchacho

7 accepted papers

2025

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

IROS 2025

Uncertainties in contact dynamics and object geometry remain significant barriers to robust robotic manipulation. Caging helps mitigate these uncertainties by constraining an object’s mobility without requiring precise contact modeling. Existing caging research often treats morphology and policy opt

Cited by 9SourceScholar
2025

Forward Invariance in Trajectory Spaces for Safety-Critical Control

ICRA 2025

Useful robot control algorithms should not only achieve performance objectives but also adhere to hard safety constraints. Control Barrier Functions (CBFs) have been developed to provably ensure system safety through forward invariance. However, they often unnecessarily sacrifice performance for saf

Cited by 5SourcecodeScholar
2025

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

ICRA 2025

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 environments, they do not guarantee safety and can show overly conservative behavior in common situations. In this paper, we propo

Cited by 10SourceScholar
2024

CITR: A Coordinate-Invariant Task Representation for Robotic Manipulation

ICRA 2024poster

The basis for robotics skill learning is an adequate representation of manipulation tasks based on their physical properties. As manipulation tasks are inherently invariant to the choice of reference frame, an ideal task representation would also exhibit this property. Nevertheless, most robotic lea…

Cited by 0SourceScholar
2023

Shared Autonomy Control for Slosh-Free Teleoperation

IROS 2023poster

Shared-autonomy control strategies in teleoperation combine human decision-making and robot precision to solve complex tasks. In other words, advanced autonomous control algorithms can compensate for imprecise human commands, reduce the mental workload of the user, and enable the execution of tasks…

Cited by 1SourceScholar
2022

A Solution to Slosh-free Robot Trajectory Optimization

IROS 2022poster

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 the end effector as a point mass suspended by a spherical pendulum and study the requirements for slosh-free motion and t…

Cited by 20SourceScholar