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Fr茅chet Distance, previously deemed impractical for training, can now be effectively optimized in representation space, leading to surprisingly high-quality image generation and a new metric that better aligns with human perception.
Multimodal agents can now reason, plan, and execute actions more effectively by integrating perception as a core component, not just an auxiliary interface.
A novel GRU-based dynamics model for tendon-driven robots eliminates self-excited oscillations, achieving superior robustness and accuracy in control.
Achieving a 50.9% reduction in tracking error, this framework transforms how we control complex tendon-driven robots.
