4 papers indexed
Jialu Zhang, Yong Du, Xianda Guo, Shunwang Sun, Xinqi Liu, Yue Sun, et al.
Cross-embodiment navigation is a key challenge in embodied intelligence. Due to differences in embodiment, the same visual observation may imply different actions for different agents, making prediction ambiguous when relying solely on vision. Existing studies mainly rely on rein…
Ruijie Sang, Yiqun Duan, Pinhan Fu, Ruilin Wang, Wei Sui, Xianda Guo
Vision-Language Model (VLM) agents have advanced zero-shot object-goal navigation, yet single-frame reasoning leaves them without the cross-step behavioral awareness an embodied navigator requires, producing recurring failures such as dead-end stalls, in-room loops, and circuitou…
Heng Zhou, Shuhong Liu, Yonghao He, Bohao Zhang, Fa Fu, Chenhui Hou, et al.
We present X-lens, a compact feed-forward model for metric depth estimation from a variable number of calibrated fisheye and pinhole views. To support real-time downstream perception, X-lens is built around a geometry-aware heterogeneous camera formulation with two key components…
Pinhan Fu, Xianda Guo, Xuetao Li, Wenke Huang, Ruilin Wang, Weiheng Zhao, et al.
Vision-Language-Action (VLA) models are deployed through pipelines that end users cannot audit, and a poisoned VLA can behave normally on clean observations while a small visual trigger redirects a long-horizon robot policy before any failure becomes observable. Existing vision o…