3 papers
cs.RO2026
HEART: Coordination of Heterogeneous Expert Agents for Physically Grounded Robotic Task Planning
Junho Lee, Seabin Lee, Wonjong Lee +3
Large Language Models (LLMs) can reason over complex instructions but often fail to satisfy the physical and spatial constraints required for robotic task planning. Recent LLM-base…
cs.RO2025
Reinforcement Learning for Robotic Insertion of Flexible Cables in Industrial Settings
Jeongwoo Park, Seabin Lee, Changmin Park +2
The industrial insertion of flexible flat cables (FFCs) into receptacles presents a significant challenge owing to the need for submillimeter precision when handling the deformable…
cs.RO2025
Very Large-scale Multi-Robot Task Allocation in Challenging Environments via Robot Redistribution
Seabin Lee, Joonyeol Sim, Changjoo Nam
We consider the Multi-Robot Task Allocation (MRTA) problem that aims to optimize an assignment of multiple robots to multiple tasks in challenging environments which are with dense…