Brief

Researchers have developed new models for robot visuomotor control, focusing on efficient and predictive coordination. CT-VAM, a cerebello-thalamic-inspired model, uses a compact architecture for fast, task-conditioned action prediction, enabling cloud-edge paradigms. Chameleon addresses observation-action delay by incorporating control-indexed prospective memory, significantly improving performance on challenging benchmarks. Separately, a diffusion-based framework learns predictive visuomotor coordination by integrating multimodal signals for forecasting human motion. AI