Eka Robotics Completes Series A Led by Andreessen Horowitz

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on, compliance, or actuator behavior can turn a successful simulated policy into a useless real-world one. It describes closing the sim-to-real gap as one of robotics’ hardest problems, and says Eka’s founders have spent much of the last decade attacking that problem from complementary directions. Reported Performance and the Founding Team Eka reports up to 1,500 picks per hour in laboratory induction and bin-picking

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tasks, two and a half times faster than humans, according to the announcement. The post states that the underlying system has demonstrated manipulation across fragile objects, slippery industrial parts, and contact-rich insertion tasks, and it identifies sustaining that performance through full production shifts as the next test. If those capabilities transfer reliably across production tasks, the investors wrote, m

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resistance during insertion can change the robot’s motion rather than simply trigger an error. The stated goal is to preserve performance as conditions change without requiring an engineer to retune the robot for every material, object, or fit. The announcement grounds that approach in the mechanics of the human hand, which it describes as having roughly two dozen degrees of freedom and thousands of specialized senso

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anufacturers could introduce new products without starting the learning process from scratch, and tasks that were never worth a dedicated automation project would become addressable. Co-founder Pulkit Agrawal of the Improbable AI Lab at MIT CSAIL is described in the post as one of the leading researchers in robot learning and a pioneer in computational sensorimotor learning, with work spanning reinforcement learning,

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force-aware control, dexterous manipulation, and moving policies from simulation into the real world. Co-founder Tuomas Haarnoja co-created Soft Actor-Critic at Berkeley, which the post calls one of the foundational algorithms in modern reinforcement learning, and later worked at Google DeepMind training complex humanoid behaviors in simulation and deploying them on real machines. The investors wrote that the founde

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