activity
20222026
most citedSEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain

47 citations · 57 across the 17 of their papers we have counts for

collaborators
Showing 2025 · cs.ROShow all

5 papers · 2 filters

cs.RO2025

MIGHTY: Hermite Spline-based Efficient Trajectory Planning

Kota Kondo, Yuwei Wu, Vijay Kumar +1

Hard-constraint trajectory planners often rely on commercial solvers and demand substantial computational resources. Existing soft-constraint methods achieve faster computation, bu…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

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…