5 papers · 1 filter
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,…
Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments
Han Gao, Pengying Wu, Yao Su +4
Target tracking has numerous significant civilian and military applications, and maintaining the visibility of the target plays a vital role in ensuring the success of the tracking…
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…