51 citations · 136 across the 9 of their papers we have counts for
11 papers
ADM-Planner: LLM-Guided Long-Horizon Planning for Mobile Manipulators with Attention-Enhanced Dynamic Memory
Jiaping Xiao, Pingyuan Ji, Mir Feroskhan
Large language models can decompose mobile-manipulation goals into long action sequences, but the resulting plans remain reliable only while their world context is current. A fixed…
Learning Adaptive Cross-Embodiment Visuomotor Policy with Contrastive Prompt Orchestration
Yuhang Zhang, Chao Yan, Jiaxi Yu +2
Learning adaptive visuomotor policies for embodied agents remains a formidable challenge, particularly when facing cross-embodiment variations such as diverse sensor configurations…
Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies
Yuhang Zhang, Jiaping Xiao, Chao Yan +1
A prevailing approach for learning visuomotor policies is to employ reinforcement learning to map high-dimensional visual observations directly to action commands. However, the com…
Grounded Vision-Language Navigation for UAVs with Open-Vocabulary Goal Understanding
Yuhang Zhang, Haosheng Yu, Jiaping Xiao +1
Vision-and-language navigation (VLN) is a long-standing challenge in autonomous robotics, aiming to empower agents with the ability to follow human instructions while navigating co…
FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation
Jiaping Xiao, Cheng Wen Tsao, Yuhang Zhang +1
Path planning is a critical component in autonomous drone operations, enabling safe and efficient navigation through complex environments. Recent advances in foundation models, par…
Learning Resilient Formation Control of Drones with Graph Attention Network
Jiaping Xiao, Xu Fang, Qianlei Jia +1
The rapid advancement of drone technology has significantly impacted various sectors, including search and rescue, environmental surveillance, and industrial inspection. Multidrone…
Clustering-based Learning for UAV Tracking and Pose Estimation
Jiaping Xiao, Phumrapee Pisutsin, Cheng Wen Tsao +1
UAV tracking and pose estimation plays an imperative role in various UAV-related missions, such as formation control and anti-UAV measures. Accurately detecting and tracking UAVs i…
Vision-based Learning for Drones: A Survey
Jiaping Xiao, Rangya Zhang, Yuhang Zhang +1
Drones as advanced cyber-physical systems are undergoing a transformative shift with the advent of vision-based learning, a field that is rapidly gaining prominence due to its prof…
Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones
Jiaping Xiao, Mir Feroskhan
Safe navigation of drones in the presence of adversarial physical attacks from multiple pursuers is a challenging task. This paper proposes a novel approach, asynchronous multi-sta…
Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach
Jiaping Xiao, Phumrapee Pisutsin, Mir Feroskhan
Equipping drones with target search capabilities is highly desirable for applications in disaster rescue and smart warehouse delivery systems. Multiple intelligent drones that can…
Bio-Inspired Synergistic Wing and Tail Morphing Extends Flight Capabilities of Drones
Enrico Ajanic, Mir Feroskhan, Stefano Mintchev +2
The operation of drones in cluttered environments and over extended areas demands adaptive flight capabilities to meet the opposing aerodynamic requirements of agile and fast cruis…