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
Long-horizon agentic RL is constrained by the futures visited by the current policy. When rollouts fail to reach useful behaviors, improved credit assignment cannot provide supervision for states and actions that were never encountered. On-policy distillation (OPD) introduces teacher guidance on policy-induced states,...
Ding-Yi Rong, Yue Shi, Chaofan Ma et al.· 0 citations
TOLA is proposed, a Text-aware One-step Latent Adaptation framework without iterative image-text diffusion that consistently surpasses existing diffusion-based TSR methods by at least 2.72 dB in PSNR on CTR-TSR-Test.
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
It is argued that efficient Real-ISR requires not only a shorter sampling trajectory, but also specialized modeling of faithful reconstruction and perceptual detail synthesis, and proposed PixelIR, a fidelity-perception decoupling framework built upon pixel-space image-residual flow matching.
Bingtian Qiao, Yue Shi, Yong Guo et al.· 0 citations
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