3 papers
cs.RO2025
Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion Planning
Gaoyuan Liu, Joris de Winter, Yuri Durodie +3
Task and motion planning (TAMP) for robotics manipulation necessitates long-horizon reasoning involving versatile actions and skills. While deterministic actions can be crafted by…
cs.RO2025
Automated Behavior Planning for Fruit Tree Pruning via Redundant Robot Manipulators: Addressing the Behavior Planning Challenge
Gaoyuan Liu, Bas Boom, Naftali Slob +3
Pruning is an essential agricultural practice for orchards. Proper pruning can promote healthier growth and optimize fruit production throughout the orchard's lifespan. Robot manip…
cs.RO2025
A Task-Efficient Reinforcement Learning Task-Motion Planner for Safe Human-Robot Cooperation
Gaoyuan Liu, Joris de Winter, Kelly Merckaert +3
In a Human-Robot Cooperation (HRC) environment, safety and efficiency are the two core properties to evaluate robot performance. However, safety mechanisms usually hinder task effi…