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cs.RO2026
FRAM: Trajectory-Guided Visual Feature Selection for Compact Language-Conditioned Robot Manipulation
Hiroshi Ito, Hyogo Hiruma, Yoshiki Kanai +4
Vision-Language-Action models achieve strong performance in robot manipulation, but often require large numbers of parameters. In this work, we propose the Future Representation Ac…
cs.RO2026
Stereo Multistage Spatial Attention for Real-Time Mobile Manipulation Under Visual Scale Variation and Disturbances
Xianbo Cai, Hideyuki Ichiwara, Hyogo Hiruma +3
Robots operating in open, unstructured real-world environments must rely on onboard visual perception while autonomously moving across different locations. Continuous changes in on…