3 papers
cs.RO2026
SPARC: Spatial-Aware Path Planning via Attentive Agent Communication
Sayang Mu, Xiangyu Wu, Bo An
Efficient communication is critical for decentralized Multi-Robot Path Planning (MRPP), yet existing learned communication methods treat all neighboring robots equally regardless o…
cs.RO2026
EgoPush: Learning End-to-End Egocentric Multi-Object Rearrangement for Mobile Robots
Boyuan An, Zhexiong Wang, Yipeng Wang +4
Humans can rearrange objects in cluttered environments using egocentric perception, navigating occlusions without global coordinates. Inspired by this capability, we study long-hor…
cs.RO2026
Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation
Huanyu Li, Kun Lei, Sheng Zang +5
Post-training algorithms based on deep reinforcement learning can push the limits of robotic models for specific objectives, such as generalizability, accuracy, and robustness. How…