2 citations · 4 across the 7 of their papers we have counts for
8 papers · 1 filter
CovNav: Conformal Prediction-Guided Adaptive Inference for Object Goal Navigation
Pengying Wu, Zhejia Wen, Kang Ding +5
In object goal navigation (ObjectNav), an embodied agent must find a target object (e.g., "find a bed") in a previously unseen environment, relying on spatial commonsense such as o…
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…
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…
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…
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…