4 papers · 1 filter
PIP-LLM: Integrating PDDL-Integer Programming with LLMs for Coordinating Multi-Robot Teams Using Natural Language
Guangyao Shi, Yuwei Wu, Vijay Kumar +1
Enabling robot teams to execute natural language commands requires translating high-level instructions into feasible, efficient multi-robot plans. While Large Language Models (LLMs…
DroneFL: Federated Learning for Multi-UAV Visual Target Tracking
Xiaofan Yu, Yuwei Wu, Katherine Mao +3
Multi-robot target tracking is a fundamental problem that requires coordinated monitoring of dynamic entities in applications such as precision agriculture, environmental monitorin…
SPAR: Scalable LLM-based PDDL Domain Generation for Aerial Robotics
Songhao Huang, Yuwei Wu, Guangyao Shi +2
We investigate the problem of automatic domain generation for the Planning Domain Definition Language (PDDL) using Large Language Models (LLMs), with a particular focus on unmanned…
Compositional Coordination for Multi-Robot Teams with Large Language Models
Zhehui Huang, Guangyao Shi, Yuwei Wu +2
Multi-robot coordination has traditionally relied on a mission-specific and expert-driven pipeline, where natural language mission descriptions are manually translated by domain ex…