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cs.RO2026

Guiding Vector Field Generation via Score-based Diffusion Model

Zirui Chen, Shiliang Guo, Shiyu Zhao

Guiding Vector Fields (GVFs) are a powerful tool for robotic path following. However, classical methods assume smooth, ordered curves and fail when paths are unordered, multi-branc…

cs.RO2026

Enhancing Vision-Based Policies with Omni-View and Cross-Modality Knowledge Distillation for Mobile Robots

Kai Li, Shiyu Zhao

Vision-based policies are widely applied in robotics for tasks such as manipulation and locomotion. On lightweight mobile robots, however, they face a trilemma of limited scene tra…

cs.RO2026

Learning Visuomotor Policy for Multi-Robot Laser Tag Game

Kai Li, Shiyu Zhao

In this paper, we study multi robot laser tag, a simplified yet practical shooting-game-style task. Classic modular approaches on these tasks face challenges such as limited observ…

cs.RO2026

Multi-Task Reinforcement Learning of Drone Aerobatics by Exploiting Geometric Symmetries

Zhanyu Guo, Zikang Yin, Guobin Zhu +2

Flight control for autonomous micro aerial vehicles (MAVs) is evolving from steady flight near equilibrium points toward more aggressive aerobatic maneuvers, such as flips, rolls,…

cs.RO2025

Sim-to-Real Transfer in Reinforcement Learning for Maneuver Control of a Variable-Pitch MAV

Zhikun Wang, Shiyu Zhao

Reinforcement learning (RL) algorithms can enable high-maneuverability in unmanned aerial vehicles (MAVs), but transferring them from simulation to real-world use is challenging. V…