2 citations · 3 across the 16 of their papers we have counts for
10 papers · 1 filter
IR-SIM: A Lightweight Declarative Simulator for Navigation Learning and Benchmarking
Ruihua Han, Shuai Wang, Chengyang Li +8
Developing navigation policies requires simulation scenarios that support repeatable training and evaluation. Despite the availability of numerous simulators, constructing diverse…
Direct Contact-Tolerant Motion Planning With Vision Language Models
He Li, Jian Sun, Chengyang Li +4
Navigation in cluttered environments often requires robots to tolerate contact with movable or deformable objects to maintain efficiency. Existing contact-tolerant motion planning…
Self-Evolutionary Replanning for Failure-Aware Motion Planning
Guoliang Li, Ruihua Han, Chengyang Li +5
Motion planners tuned under nominal conditions can fail when execution conditions change. Existing differentiable adaptation methods provide efficient online updates but remain con…
LLM-Driven Scenario-Aware Planning for Autonomous Driving
He Li, Zhaowei Chen, Rui Gao +4
Hybrid planner switching framework (HPSF) for autonomous driving needs to reconcile high-speed driving efficiency with safe maneuvering in dense traffic. Existing HPSF methods ofte…
Embodied Edge Intelligence Meets Near Field Communication: Concept, Design, and Verification
Guoliang Li, Xibin Jin, Yujie Wan +4
Realizing embodied artificial intelligence is challenging due to the huge computation demands of large models (LMs). To support LMs while ensuring real-time inference, embodied edg…
Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization
Jiayi Chen, Shuai Wang, Guoliang Li +4
Navigating autonomous vehicles in open scenarios is a challenge due to the difficulties in handling unseen objects. Existing solutions either rely on small models that struggle wit…
Clutter Resilient Occlusion Avoidance for Tightly-Coupled Motion-Assisted Detection
Zhixuan Xie, Jianjun Chen, Guoliang Li +4
Occlusion is a key factor leading to detection failures. This paper proposes a motion-assisted detection (MAD) method that actively plans an executable path, for the robot to obser…
Robotic Sensor Network: Achieving Mutual Communication Control Assistance With Fast Cross-Layer Optimization
Zhiyou Ji, Yujie Wan, Guoliang Li +4
Robotic sensor network (RSN) is an emerging paradigm that harvests data from remote sensors adopting mobile robots. However, communication and control functionalities in RSNs are i…
Edge Accelerated Robot Navigation With Collaborative Motion Planning
Guoliang Li, Ruihua Han, Shuai Wang +3
Low-cost distributed robots suffer from limited onboard computing power, resulting in excessive computation time when navigating in cluttered environments. This paper presents Edge…
iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning
Lexiong Huang, Ruihua Han, Guoliang Li +4
Autonomous parking (AP) is an emering technique to navigate an intelligent vehicle to a parking space without any human intervention. Existing AP methods based on mathematical opti…