AthenaZero can juggle barehanded using onboard vision feedback. By using multi-fingered hands, it can transition seamlessly between a wide range of juggling patterns.
We’ll be presenting robotic research that includes contact-rich bimanual manipulation and policy learning, an open source package for sample-based Model Predictive Control (MPC), how to...
How AnyTask and ExpertGen Bridge the Sim-to-Real Gap
Redesigning how we collect bespoke data for manipulation tasks.
Presented at RSS 2026, Q2RL (Q-Estimation and Q-Gating from Behavior Cloning for Reinforcement Learning) is a method that avoids catastrophic forgetting when transitioning from offline behavior cloning to...
Automatically converting demos into labeled datasets to enable the rapid training of task-specific object detectors that outperform existing state-of-the-art VLMs.
We’ll be presenting robotic research that includes contact-rich bimanual manipulation and policy learning, an open source package for sample-based Model Predictive Control (MPC), how to perform bike stunts...
Get a closer look at the Koala gripper! The co-designed system pairs a handheld data collector and a corresponding robotic gripper, allowing a single, unassisted...
How does a robot learn to recognize an object it’s never encountered? In this case, a demo can be worth a thousand words.
AthenaZero can juggle barehanded using onboard vision feedback. By using multi-fingered hands, it can transition seamlessly between a wide range of juggling patterns.
