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From the 1 of 17 linked papers with an AI index.

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20242026
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cs.RO2026

Learning Agile Navigation in Crowded Environments for Quadruped Robots

Shuyu Wu, Zeyu Liu, Tianbao Zhang +6

The paper introduces VOP-Nav, a system that blends Velocity Obstacle theory with end‑to‑end learning to enable quadruped robots to navigate safely and quickly through crowded, dyna…

cs.RO2026

A Closed-Form 4-DoF Inter-Robot Pose Estimator using Bearing-only Measurements

Qixin De, Ao Zhuang, Yechen Zhang +2

Bearing-odometry-based cooperative localization has attracted increasing research interest due to its minimal infrastructure requirements, low communication bandwidth and broad app…

cs.RO2026

Asymmetric physics enables efficient learning in quadrupedal robot swarms

Yuang Zhang, Yunlong Song, Zhihao He +7

Animal collectives navigate cluttered environments through local coordination, yet robot swarms still struggle to reproduce this capability in the physical world. End-to-end learni…

cs.RO2026

Autonomous FPV Flight with Translational Optical Flow and Uncertainty Mask

Yang Deng, Yu Hu, Feng Yu +2

Autonomous FPV quadrotor flight in complex environments using a monocular RGB camera as the sole exteroceptive sensor remains a fundamental challenge. Recent research has shown tha…

cs.RO2026

Simple but Stable, Fast and Safe: Achieve End-to-end Control by High-Fidelity Differentiable Simulation

Fanxing Li, Shengyang Wang, Yuxiang Huang +5

Obstacle avoidance is a fundamental vision-based task essential for enabling quadrotors to perform advanced applications. When planning the trajectory, existing approaches both on…

cs.RO2026

E2E-Fly: An Integrated Training-to-Deployment System for End-to-End Quadrotor Autonomy

Fangyu Sun, Fanxing Li, Linzuo Zhang +5

Training and transferring learning-based policies for quadrotors from simulation to reality remains challenging due to inefficient visual rendering, physical modeling inaccuracies,…