2 papers
cs.RO2026
S3KF: Spherical State-Space Kalman Filtering for Panoramic 3D Multi-Object Tracking
Zhongyuan Liu, Shaonan Yu, Jianping Li +5
Panoramic multi-object tracking is important for industrial safety monitoring, wide-area robotic perception, and infrastructure-light deployment in large workspaces. In these setti…
cs.RO2026
OmniVLN: Omnidirectional 3D Perception and Token-Efficient LLM Reasoning for Visual-Language Navigation across Air and Ground Platforms
Zhongyuang Liu, Min He, Shaonan Yu +5
Language-guided embodied navigation requires an agent to interpret object-referential instructions, search across multiple rooms, localize the referenced target, and execute reliab…