Eka Robotics raises $150 million, valued $1.45B for force-se

“ass., where its grippers screwed in light bulbs and packed chicken nuggets onto a moving conveyor. The current robots pick objects that fall outside their training data at about 1,500 operations per hour, according to the company. The human baseline Eka uses for comparison is about 600. Eka told TechCrunch that its robots handle objects weighing up to 1 kilogram and succeed on more than 95% of picks, and that pilots”

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“ass., where its grippers screwed in light bulbs and packed chicken nuggets onto a moving conveyor. The current robots pick objects that fall outside their training data at about 1,500 operations per hour, according to the company. The human baseline Eka uses for comparison is about 600. Eka told TechCrunch that its robots handle objects weighing up to 1 kilogram and succeed on more than 95% of picks, and that pilots”

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“with industrial customers it has not named are underway on pick-and-place and wire-handling work. The gripper costs less than $1,000 and is rated for 5 million duty cycles for now. Eka wants to reach the 20 million that standard industrial arms are built for. Kris Hauser, a professor at the University of Illinois Urbana-Champaign, told TechCrunch that a demo of Eka’s robot had a “wow factor” next to other robot demon”

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“with industrial customers it has not named are underway on pick-and-place and wire-handling work. The gripper costs less than $1,000 and is rated for 5 million duty cycles for now. Eka wants to reach the 20 million that standard industrial arms are built for. Kris Hauser, a professor at the University of Illinois Urbana-Champaign, told TechCrunch that a demo of Eka’s robot had a “wow factor” next to other robot demon”

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“ass., where its grippers screwed in light bulbs and packed chicken nuggets onto a moving conveyor. The current robots pick objects that fall outside their training data at about 1,500 operations per hour, according to the company. The human baseline Eka uses for comparison is about 600. Eka told TechCrunch that its robots handle objects weighing up to 1 kilogram and succeed on more than 95% of picks, and that pilots”

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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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“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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“ves. It can pick up about 1,500 objects that weigh up to 1 kg in an hour, compared to about 600 for a human; Eka says it reliably picks up objects more than 95% of the time. And the robot arm is strong enough to hurt itself as it moves that quickly. That indicates, per the frontier lab observer, that “they have a lot of trust in their algorithm not breaking the robot. I wonder how many robots they broke along the way”

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techcrunch

“ves. It can pick up about 1,500 objects that weigh up to 1 kg in an hour, compared to about 600 for a human; Eka says it reliably picks up objects more than 95% of the time. And the robot arm is strong enough to hurt itself as it moves that quickly. That indicates, per the frontier lab observer, that “they have a lot of trust in their algorithm not breaking the robot. I wonder how many robots they broke along the way”

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techcrunch

“ves. It can pick up about 1,500 objects that weigh up to 1 kg in an hour, compared to about 600 for a human; Eka says it reliably picks up objects more than 95% of the time. And the robot arm is strong enough to hurt itself as it moves that quickly. That indicates, per the frontier lab observer, that “they have a lot of trust in their algorithm not breaking the robot. I wonder how many robots they broke along the way”

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techcrunch

“Eka Robotics hits $1.45 billion valuation with $150 million Series A”

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“Eka Robotics hits $1.45 billion valuation with $150 million Series A”

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“r 5 million duty cycles, with a goal of reaching the 20 million cycles standard for industrial arms. Eka says the robot picks about 1,500 objects weighing up to 1 kilogram per hour with a success rate above 95%. Agrawal said vision is not the primary way to solve the “last millimeter problem” of precise manipulation. Raghu Raguram, a general partner at a16z, said the robot is already exceeding superhuman performance”

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“r 5 million duty cycles, with a goal of reaching the 20 million cycles standard for industrial arms. Eka says the robot picks about 1,500 objects weighing up to 1 kilogram per hour with a success rate above 95%. Agrawal said vision is not the primary way to solve the “last millimeter problem” of precise manipulation. Raghu Raguram, a general partner at a16z, said the robot is already exceeding superhuman performance”

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“ensing instead of human demonstrations Eka has built what it calls a vision-force-action model, which links what a robot sees with the forces it feels to decide how to move, rather than relying mainly on vision and language. The system is trained with a physics simulator and large-scale reinforcement learning instead of videos of human demonstrations. Its force-sensitive gripper costs less than $1,000 and is rated fo”

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“r 5 million duty cycles, with a goal of reaching the 20 million cycles standard for industrial arms. Eka says the robot picks about 1,500 objects weighing up to 1 kilogram per hour with a success rate above 95%. Agrawal said vision is not the primary way to solve the “last millimeter problem” of precise manipulation. Raghu Raguram, a general partner at a16z, said the robot is already exceeding superhuman performance”

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