Robot Manipulation
2 related stories
500,000 Hours of First-Person Video: How to Add 'Touch' to Embodied World Models
Zhiwu Wujie releases Being-H0.8, a latent tactile world-action model trained on over 500,000 hours of first-person video. By generating pseudo-tactile labels from visual data and unifying robot sensor inputs, it aims to bridge the gap between visual observation and physical contact for embodied AI.
Starting from Bottom-Up Instincts, Oakfruit Robotics Unveils 'Instinct-Driven' Technical Route
Oakfruit Robotics has released its 'instinct-driven' technical route for Embodied AI, adopting a bottom-up approach where robots acquire operational instincts at the foundational level and autonomously emerge with intelligent manipulation through interaction with the physical world.