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20242026
most citedMCGMapper: Light-Weight Incremental Structure from Motion and Visual Localization With Planar Markers and Camera Groups

1 citations · 1 across the 15 of their papers we have counts for

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cs.RO2026

Safe Navigation in Unknown and Cluttered Environments via Direction-Aware Convex Free-Region Generation

Zhicheng Song, Yongjian Li, Kai Chen +3

Convex free regions provide a structured and optimization-friendly representation of collision-free space for robot navigation in unknown and cluttered environments. However, exist…

cs.RO2026

ALORE: Autonomous Large-Object Rearrangement with a Legged Manipulator

Zhihai Bi, Yushan Zhang, Kai Chen +3

Endowing robots with the ability to rearrange various large and heavy objects, such as furniture, can substantially alleviate human workload. However, this task is extremely challe…

cs.RO2026

Fast and Safe Trajectory Optimization for Mobile Manipulators With Neural Configuration Space Distance Field

Yulin Li, Zhiyuan Song, Yiming Li +8

Mobile manipulators promise agile, long-horizon behavior by coordinating base and arm motion, yet whole-body trajectory optimization in cluttered, confined spaces remains difficult…

cs.RO2026

Online Trajectory Optimization for Arbitrary-Shaped Mobile Robots via Polynomial Separating Hypersurfaces

Shuoye Li, Zhiyuan Song, Yulin Li +2

An emerging class of trajectory optimization methods enforces collision avoidance by jointly optimizing the robot's configuration and a separating hyperplane. However, as linear se…

cs.RO2025

Embracing Bulky Objects with Humanoid Robots: Whole-Body Manipulation with Reinforcement Learning

Chunxin Zheng, Kai Chen, Zhihai Bi +5

Whole-body manipulation (WBM) for humanoid robots presents a promising approach for executing embracing tasks involving bulky objects, where traditional grasping relying on end-eff…

cs.RO2025

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators

Kai Chen, Zhihai Bi, Guoyang Zhao +4

Neural-based motion planning methods have achieved remarkable progress for robotic manipulators, yet a fundamental challenge lies in simultaneously accounting for both the robot's…

cs.RO2025

A Reconfigured Wheel-Legged Robot for Enhanced Steering and Adaptability

Zhicheng Song, Jinglan Xu, Chunxin Zheng +3

Wheel-legged robots integrate leg agility on rough terrain with wheel efficiency on flat ground. However, most existing designs do not fully capitalize on the benefits of both legg…

cs.RO2025

Local Reactive Control for Mobile Manipulators with Whole-Body Safety in Complex Environments

Chunxin Zheng, Yulin Li, Zhiyuan Song +4

Mobile manipulators typically encounter significant challenges in navigating narrow, cluttered environments due to their high-dimensional state spaces and complex kinematics. While…

cs.RO2024

FRTree Planner: Robot Navigation in Cluttered and Unknown Environments with Tree of Free Regions

Yulin Li, Zhicheng Song, Chunxin Zheng +4

In this work, we present FRTree planner, a novel robot navigation framework that leverages a tree structure of free regions, specifically designed for navigation in cluttered and u…

cs.RO2024

Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models

Jiahang Cao, Qiang Zhang, Jingkai Sun +11

Diffusion models have been widely employed in the field of 3D manipulation due to their efficient capability to learn distributions, allowing for precise prediction of action traje…

cs.RO2024★ 1 cited

MCGMapper: Light-Weight Incremental Structure from Motion and Visual Localization With Planar Markers and Camera Groups

Yusen Xie, Zhenmin Huang, Kai Chen +2

Structure from Motion (SfM) and visual localization in indoor texture-less scenes and industrial scenarios present prevalent yet challenging research topics. Existing SfM methods d…

cs.RO2024

Collision-Free Trajectory Optimization in Cluttered Environments Using Sums-of-Squares Programming

Yulin Li, Chunxin Zheng, Kai Chen +4

In this work, we propose a trajectory optimization approach for robot navigation in cluttered 3D environments. We represent the robot's geometry as a semialgebraic set defined by p…

cs.RO2024

Robot Navigation in Unknown and Cluttered Workspace with Dynamical System Modulation in Starshaped Roadmap

Kai Chen, Haichao Liu, Yulin Li +3

Compared to conventional decomposition methods that use ellipses or polygons to represent free space, starshaped representation can better capture the natural distribution of senso…