2 citations · 4 across the 8 of their papers we have counts for
9 papers
Real-Time Human-Adaptive Task Allocation for Multi-Human Multi-Robot Supervision
Seabin Lee, Sujeong Park, Nayoung Kim +3
We propose a human-factor-aware method of allocating robot supervision tasks to multiple human operators. In scenarios where multiple operators occasionally teleoperate multiple ro…
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…
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…
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…
CARE: Enhancing Safety of Visual Navigation through Collision Avoidance via Repulsive Estimation
Joonkyung Kim, Joonyeol Sim, Woojun Kim +2
We propose CARE (Collision Avoidance via Repulsive Estimation) to improve the robustness of learning-based visual navigation methods. Recently, visual navigation models, particular…
Merry-Go-Round: Safe Control of Decentralized Multi-Robot Systems with Deadlock Prevention
Wonjong Lee, Joonyeol Sim, Joonkyung Kim +3
We propose a hybrid approach for decentralized multi-robot navigation that ensures both safety and deadlock prevention. Building on a standard control formulation, we add a lightwe…
Stop-N-Go: Search-based Conflict Resolution for Motion Planning of Multiple Robotic Manipulators
Gidon Han, Jeongwoo Park, Changjoo Nam
We address the motion planning problem for multiple robotic manipulators in packed environments where shared workspace can result in goal positions occupied or blocked by other rob…
Escaping Local Minima: Hybrid Artificial Potential Field with Wall-Follower for Decentralized Multi-Robot Navigation
Joonkyung Kim, Sangjin Park, Wonjong Lee +3
We tackle the challenges of decentralized multi-robot navigation in environments with nonconvex obstacles, where complete environmental knowledge is unavailable. While reactive met…
Safe Interval RRT* for Scalable Multi-Robot Path Planning in Continuous Space
Joonyeol Sim, Joonkyung Kim, Changjoo Nam
In this paper, we consider the problem of Multi-Robot Path Planning (MRPP) in continuous space. The difficulty of the problem arises from the extremely large search space caused by…