Achieving robust cross-embodiment generalization in imitation learning demands overcoming a critical representation flaw that inextricably entangles task semantics with hardware-specific visual geometry. We propose an interaction-centric framework that leverages the shared structure of two-finger grippers via a paramet...
Guan-Lin Li, Shi-Feng Bao, Yi-Han Zhao et al.· 0 citations
By integrating biological, engineering, and sustainability perspectives, this review provides a comprehensive framework for understanding the potential of filamentous algae to support resilient wastewater treatment systems and accelerate the transition toward circular resource management.
Songqi Yang, Li Cao, Chenyang Wei et al.· Microorganisms· 0 citations
Learning generalizable robot manipulation policies requires large-scale and diverse demonstration data. Egocentric human manipulation videos offer rich scene and task diversity, and prior work has shown that retargeting and rendering such videos into robot-format data can yield effective per-task policies at small scal...
Ye Wang, Peibin Lin, Xiong-Hui Chen et al.· 10 citations· ⚡1
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