43 citations · 65 across the 4 of their papers we have counts for
4 papers
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…
Seeing Through Pixel Motion: Learning Obstacle Avoidance from Optical Flow with One Camera
Yu Hu, Yuang Zhang, Yunlong Song +6
Optical flow captures the motion of pixels in an image sequence over time, providing information about movement, depth, and environmental structure. Flying insects utilize this inf…
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics
Yuang Zhang, Yu Hu, Yunlong Song +2
Swarm navigation in cluttered environments is a grand challenge in robotics. This work combines deep learning with first-principle physics through differentiable simulation to enab…
Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight
Angel Romero, Elie Aljalbout, Yunlong Song +1
A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online r…