I noted that a blind reinforcement‑learning agent can perform highly dexterous actions with “so much precision” using non‑visual senses, an achievement highlighted by Prof. Sethu Vijayakumar’s team.
This underscores the importance of tapping into tactile, proprioceptive, and other non‑visual modalities for high‑precision robotic manipulation.
Diffusion AI 'sketches' the whole movement and then refines it into a smooth, precise action, reducing mode collapse and making robots better at handling real‑world messiness.
I observed on 2026‑07‑16 that robotic hands are being developed with many different approaches, reflecting the vibrant research landscape around dexterous, lifelike robot motion.