8 citations · 9 across the 4 of their papers we have counts for
6 papers
SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer
Kang Ding, Chunxuan Jiao, Yunze Hu +4
Swarm robotic trajectory planning faces challenges in computational efficiency, scalability, and safety, particularly in complex, obstacle-dense environments. To address these issu…
AINav: Large Language Model-Based Adaptive Interactive Navigation
Kangjie Zhou, Yao Mu, Haoyang Song +4
Robotic navigation in complex environments remains a critical research challenge. Traditional navigation methods focus on optimal trajectory generation within fixed free workspace,…
CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations
Pengying Wu, Yao Mu, Kangjie Zhou +3
Visual navigation tasks are critical for household service robots. As these tasks become increasingly complex, effective communication and collaboration among multiple robots becom…
ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking
Kangjie Zhou, Pengying Wu, Yao Su +4
This paper proposes an informative trajectory planning approach, namely, \textit{adaptive particle filter tree with sigma point-based mutual information reward approximation} (ASPI…
VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model
Pengying Wu, Yao Mu, Bingxian Wu +4
In the realm of household robotics, the Zero-Shot Object Navigation (ZSON) task empowers agents to adeptly traverse unfamiliar environments and locate objects from novel categories…
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments
Ji Ma, Hongming Dai, Yao Mu +6
Zero-Shot Object Navigation (ZSON) requires agents to autonomously locate and approach unseen objects in unfamiliar environments and has emerged as a particularly challenging task…