Automating biological laboratories requires robots to perform dexterous tool interactions under realistic visual conditions while handling dynamic experimental phenomena, presenting significant challenges for robotic manipulation. To enable systematic evaluation under these conditions, we introduce DexBioLab, a simulat...
Xuan Wu, Yue Shi, Yong-Can Yang et al.· 0 citations
Experimental results demonstrate the proposed ${M}^2$Tok, a Multi-head Multi-codebook Action Tokenizer designed to minimize reconstruction error and enhance policy performance, achieves superior reconstruction fidelity and significantly boosts the success rate of VLA models.
Chun-Pu Xu, Zhi-Xuan Liang, Yu-Hao Zhang et al.· 0 citations
H2R-Bench provides a systematic diagnostic framework for evaluating whether video world models can bridge the human-to-robot embodiment gap and convert human manipulation observations into robot-centric training resources.
Ding-Yi Rong, Yue Shi, Chaofan Ma et al.· 1 citation
Across both simulated and real-world settings, MoEActok-based VLA substantially outperforms existing VLA models in both simulated and real-world settings.
Chun-Pu Xu, Zhi-Xuan Liang, Tianshuo Yang et al.· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
