2 citations · 3 across the 16 of their papers we have counts for
17 papers
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…
Planning Oriented Integrated Sensing and Communication
Xibin Jin, Guoliang Li, Shuai Wang +5
Integrated sensing and communication (ISAC) enables simultaneous localization, environment perception, and data exchange for connected autonomous vehicles. However, most existing I…
STT-GS: Sample-Then-Transmit Edge Gaussian Splatting with Joint Client Selection and Power Control
Zhen Li, Xibin Jin, Guoliang Li +5
Edge Gaussian splatting (EGS), which aggregates data from distributed clients (e.g., drones) and trains a global GS model at the edge (e.g., ground server), is an emerging paradigm…
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…
Integrated Sensing and Communication for Edge Inference with End-to-End Multi-View Fusion
Xibin Jin, Guoliang Li, Shuai Wang +3
Integrated sensing and communication (ISAC) is a promising solution to accelerate edge inference via the dual use of wireless signals. However, this paradigm needs to minimize the…
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…
CASTER: A Computer-Vision-Assisted Wireless Channel Simulator for Gesture Recognition
Zhenyu Ren, Guoliang Li, Chenqing Ji +3
In this paper, a computer-vision-assisted simulation method is proposed to address the issue of training dataset acquisition for wireless hand gesture recognition. In the existing…
Integrated Robotics Networks with Co-optimization of Drone Placement and Air-Ground Communications
Menghao Hu, Tong Zhang, Shuai Wang +4
Terrestrial robots, i.e., unmanned ground vehicles (UGVs), and aerial robots, i.e., unmanned aerial vehicles (UAVs), operate in separate spaces. To exploit their complementary feat…
DoF Upper Bound on Three-User MISO Broadcast Channel with Two Antennas and Mixed CSIT
Shuo Zheng, Tong Zhang, Shuai Wang +4
With delayed and imperfect current channel state information at the transmitter (CSIT), namely mixed CSIT, the sum degrees-of-freedom (sum-DoF) in the two-user multiple-input multi…
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…
Integrated Sensing and Communication from Learning Perspective: An SDP3 Approach
Guoliang Li, Shuai Wang, Jie Li +5
Characterizing the sensing and communication performance tradeoff in integrated sensing and communication (ISAC) systems is challenging in the applications of learning-based human…