activity
20242026
most citedAINav: Large Language Model-Based Adaptive Interactive Navigation

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM

Kangjie Zhou, Zhejia Wen, Zhiyong Zhuo +9

Recent Vision-Language Models (VLMs) have demonstrated significant potential in robotic planning. However, they typically function as semantic reasoners, lacking an intrinsic under…

cs.RO2025★ 1 cited

ReSPIRe: Informative and Reusable Belief Tree Search for Robot Probabilistic Search and Tracking in Unknown Environments

Kangjie Zhou, Zhaoyang Li, Han Gao +4

Target search and tracking (SAT) is a fundamental problem for various robotic applications such as search and rescue and environmental exploration. This paper proposes an informati…

cs.RO2025★ 2 cited

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,…

cs.RO2024★ 1 cited

Path-Tracking Hybrid A* and Hierarchical MPC Framework for Autonomous Agricultural Vehicles

Mingke Lu, Han Gao, Haijie Dai +2

We propose a Path-Tracking Hybrid A* planner coupled with a hierarchical Model Predictive Control (MPC) framework for path smoothing in agricultural vehicles. The goal is to minimi…

cs.RO2024

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…

cs.RO2024

SwarmPRM: Probabilistic Roadmap Motion Planning for Large-Scale Swarm Robotic Systems

Yunze Hu, Xuru Yang, Kangjie Zhou +5

Large-scale swarm robotic systems consisting of numerous cooperative agents show considerable promise for performing autonomous tasks across various sectors. Nonetheless, tradition…

cs.RO2024

Risk-Aware Non-Myopic Motion Planner for Large-Scale Robotic Swarm Using CVaR Constraints

Xuru Yang, Yunze Hu, Han Gao +5

Swarm robotics has garnered significant attention due to its ability to accomplish elaborate and synchronized tasks. Existing methodologies for motion planning of swarm robotic sys…