Measured Human Effort
EMG captures force timing, magnitude, and coordination.
Human dexterity is guided by muscles that continuously regulate contact. Relari brings that biomechanical signal to robotics so machines can learn more capable manipulation.
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A hand can look still while its muscles continuously regulate force, contact, and stability. Surface electromyography (EMG) captures the muscle activity behind those adjustments. Once decoded, this biomechanical structure can be transferred across robot embodiments, enabling richer, more human-like physical interaction.
EMG captures force timing, magnitude, and coordination.
A force-aware control policy transfers that structure to the robot.
One lightweight armband adds interaction information to natural human demonstrations—without instrumented objects, gloves, or robot hardware.
Force-labeled demonstrations are tied to a robot, operator, and lab. We study whether wearable EMG can move that supervision to people—across more tasks and environments.
Biomechanically rich demonstrations at scale enable us to train more capable, force-aware models for general-purpose robotic manipulation.
Our work sits at the intersection of robot learning, human biomechanics, and hardware. We’re looking for people with deep expertise, intellectual range, and a desire to explore problems that don’t fit neatly within one discipline.
Open positions