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cs.RO2026
AION: Aerial Indoor Object-Goal Navigation Using Dual-Policy Reinforcement Learning
Zichen Yan, Yuchen Hou, Shenao Wang +3
Object-Goal Navigation (ObjectNav) requires an agent to autonomously explore an unknown environment and navigate toward target objects specified by a semantic label. While prior wo…
cs.RO2026
MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments
Kuankuan Sima, Longbin Tang, Zhenyu Yang +2
Autonomous navigation in unknown environments requires multi-scale spatial understanding that captures geometric details, topological connectivity, and global structure to support…
cs.RO2025
AcL: Action Learner for Fault-Tolerant Quadruped Locomotion Control
Tianyu Xu, Yaoyu Cheng, Pinxi Shen +1
Quadrupedal robots can learn versatile locomotion skills but remain vulnerable when one or more joints lose power. In contrast, dogs and cats can adopt limping gaits when injured,…