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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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Showing 2024 · cs.ROShow all

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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…