We believe solving dexterous manipulation is one of the largest opportunities in robotics. That’s why we're thrilled to lead Eka Robotics’ Series A.

Much of the world's physical economy still depends on people using their hands, and that work has been hard to automate because the real world is variable.

@EkaRobotics has built a Vision-Force-Action model that combines visual perception with force feedback from its robotic hands. The model, sensing, and hardware are designed together, so the robot can use physical contact itself as information.

If Eka’s approach works at scale, the implication is profound: robot experience can increasingly scale with compute rather than human labor.

Pulkit Agrawal is one of the leading researchers in robot learning and a pioneer in computational sensorimotor learning through work at his Improbable AI Lab at MIT CSAIL. Tuomas Haarnoja co-created a foundational algorithms in modern reinforcement learning at Berkeley and later worked at Google DeepMind training complex humanoid behaviors.

Congrats, @pulkitology, @haarnoja, and the Eka Robotics team!

By @stuffyokodraws and @RaghuRaghuram