Teleoperation is usually used to control robots. We present DITTO-X, a framework that works both ways:
๐๏ธโก๏ธ๐ค In forward teleoperation, you can control diverse dexterous hands with force and haptic feedback.
๐คโก๏ธ๐๏ธ In reverse teleoperation, the robot moves your hand to match its own state while an autonomous policy runs, so you can intervene fluently whenever it goes wrong.
Why does this matter? Taking over a dexterous hand mid-task is hard. Any mismatch between your hand pose and the robot state can cause an unstable grasp and make the robot drop the object. With reverse teleoperation, every takeover starts from the robot's own state, and these smooth interventions become DAgger data that make our policy more robust each round.
Find more information at:
๐ https://t.co/pUunM8u15L
๐ https://t.co/tVBEuJ8Z3I
co-led with @jbps_2001.
Can a robot design a tool from scratch? Introducing HOT: Robot Tool Design from Scratch via Behavior-Aware Hierarchical Optimization.
Check out our project page for more details, videos, and code! ๐
https://t.co/1YLAThub0W
What can Astra do when given a humanoid embodiment?
We built HomeBody to find out. Controlled by GPT Astra, it carries out long-horizon tasks in a previously unseen kitchenโfrom tidying up across the room to retrieving remembered objects from ambiguous requestsโwithout environment-specific training data or additional policy learning.
Here's how we did it ๐: https://t.co/FFGS2F7VtI
Excited to share that Play2Perfect was accepted to #CoRL2026!
We also added an interactive demo to our project website ๐ฅ๏ธ
Watch Play2Perfect perform precise, contact-rich assembly in MuJoCo, right in your browser!
Zero-shot sim-to-sim transfer from Isaac Sim to MuJoCo.
Introducing TacThru: Simultaneous Tactile-Visual Perception for Learning Multimodal Robot Manipulation, accepted to IEEE Robotics and Automation Letters (RA-L)!
Check out our project page for more details, videos, code, and hardware! ๐
https://t.co/lrn9HywF4M