5 citations · 6 across the 7 of their papers we have counts for
7 papers
Real-time Whole-Body Motion Planning for Mobile Manipulators Carrying Arbitrarily Shaped Payloads via Kinematically-Coupled SVSDF
Yisheng Li, Longji Yin, Tingrui Zhang +6
Mobile manipulators are increasingly tasked with transporting large, non-convex payloads through cluttered environments, yet existing planners either oversimplify the payload geome…
Sparse Video Generation Propels Real-World Beyond-the-View Vision-Language Navigation
Hai Zhang, Siqi Liang, Li Chen +5
Why must vision-language navigation be bound to detailed and verbose language instructions? While such details ease decision-making, they fundamentally contradict the goal for navi…
Efficient Swept Volume-Based Trajectory Generation for Arbitrary-Shaped Ground Robot Navigation
Yisheng Li, Longji Yin, Yixi Cai +6
Navigating an arbitrary-shaped ground robot safely in cluttered environments remains a challenging problem. The existing trajectory planners that account for the robot's physical g…
Bubble Explorer: Fast UAV Exploration in Large-Scale and Cluttered 3D-Environments using Occlusion-Free Spheres
Benxu Tang, Yunfan Ren, Fangcheng Zhu +4
Autonomous exploration is a crucial aspect of robotics that has numerous applications. Most of the existing methods greedily choose goals that maximize immediate reward. This strat…
ROG-Map: An Efficient Robocentric Occupancy Grid Map for Large-scene and High-resolution LiDAR-based Motion Planning
Yunfan Ren, Yixi Cai, Fangcheng Zhu +2
Recent advances in LiDAR technology have opened up new possibilities for robotic navigation. Given the widespread use of occupancy grid maps (OGMs) in robotic motion planning, this…
Online Whole-body Motion Planning for Quadrotor using Multi-resolution Search
Yunfan Ren, Siqi Liang, Fangcheng Zhu +2
In this paper, we address the problem of online quadrotor whole-body motion planning (SE(3) planning) in unknown and unstructured environments. We propose a novel multi-resolution…
Swarm-LIO: Decentralized Swarm LiDAR-inertial Odometry
Fangcheng Zhu, Yunfan Ren, Fanze Kong +5
Accurate self and relative state estimation are the critical preconditions for completing swarm tasks, e.g., collaborative autonomous exploration, target tracking, search and rescu…