Founded by Pulkit Agrawal and Tuomas Haarnoja, Eka Robotics is moving away from the industry standard of vision-language-action models. Instead, the team has built a vision-force-action system. This approach allows their robots to handle fragile items—like a raspberry—with a level of dexterity that has stunned veteran roboticists. The system processes contact and pressure in real-time, enabling the hardware to adapt to novel objects without requiring constant retraining.
The performance metrics are aggressive: the Eka system can manipulate roughly 1,500 objects an hour, significantly outpacing human speed while maintaining a 95% success rate. By leveraging high-scale physics simulations rather than relying solely on human-recorded video data, the company is generating thousands of hours of training experience in mere minutes. This bottom-up approach to physical intelligence aims to bridge the gap between high-level AI planning and the messy reality of industrial tasks.





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