--- title: "Robotic Manipulation Breakthrough by Eka Robotics" url: https://noti.group/robotic-manipulation-breakthrough-by-eka-robotics/ language: en publisher: "Noti Group" section: "Technology" published: 2026-10-20T13:00:00.000Z updated: 2026-10-20T13:59:41.372Z id: 1dc374e9-6b61-48e1-b80e-b3a123d143a0 source: "TechCrunch https://techcrunch.com/2026/10/20/eka-is-worth-1-45-billion-thanks-to-a-physical-ai-model-that-has-experts-raving/" attribution: "Link to https://noti.group/robotic-manipulation-breakthrough-by-eka-robotics/ and name Noti Group when you quote or summarize this story." --- # Robotic Manipulation Breakthrough by Eka Robotics Eka Robotics has made significant strides in robotic manipulation capabilities, combining a force-sensitive gripper with a deep-learning model. A revolutionary robotics startup has made significant strides in robotic manipulation capabilities, leaving experts in awe. Eka Robotics' innovative approach involves combining a force-sensitive gripper with a new deep-learning model. The company's breakthrough architecture is being hailed as a game-changer in the field of robotics. Founded by MIT professor Pulkit Agrawal and former Google DeepMind researcher Tuomas Haarnoja, Eka has secured an impressive $150 million Series A funding round, led by prominent venture funds a16z and F-Prime. This investment values Eka at $1.45 billion post-money, a testament to the startup's potential in transforming robotic capabilities. According to Raghu Raguram, an a16z general partner who co-led the fundraising round, Eka is already demonstrating superhuman performance in certain tasks. Veteran robot builders are struggling to keep up with Eka's capabilities, which have left many in the field impressed and even intimidated. Kris Hauser, a professor at the University of Illinois Urbana-Champaign, described Eka's demonstration as having a "wow factor," praising its ability to adapt to various objects without retraining. Experts who witnessed Eka's robot in action were visibly moved by its performance, drawing comparisons to significant milestones in robotics history. One roboticist, who wished to remain anonymous, likened the experience to the achievement of reliable legged locomotion five to ten years ago. The robot's impressive performance is evident in its ability to move smoothly and rapidly, picking up objects at an astonishing rate of 1,500 items weighing up to 1 kg per hour. This surpasses human capabilities by a significant margin, with the robot successfully picking up objects more than 95% of the time. In a test, the robot was handed a raspberry, a favorite item used by the lab to evaluate its abilities. The experience left a lasting impression on those who interacted with it, as one observer noted that the feeling of a large and heavy robot approaching at high speed and then slowing down just in time to make contact is still present. The foundation for Eka's capabilities lies in its unique approach to building AI models. Unlike traditional vision-language-action models, which focus on understanding language, visual inputs, and actions, Eka employs a vision-force-action model that prioritizes the relationship between language, force inputs, and actions. This distinction has significant implications for the development of generative AI robotics models. Critics argue that current approaches will ultimately fail without accounting for force and touch, and Eka's results seem to validate this perspective. The robot's impressive abilities are a testament to the effectiveness of its underlying algorithm, which has been designed with sufficient trust in its ability not to cause harm to the robot itself, despite moving at high speeds. The robotic hand designed by Eka is a key component of its innovative approach to object handling. Unlike traditional grippers, it features greater flexibility and more force sensors, allowing it to react to contact without crushing delicate objects like raspberries. This unique design was made possible through the use of physics simulations, which enabled the company's founders to model the various forces that the robot would encounter when attempting to grasp an object. By running these simulations at scale, they were able to generate thousands of hours of robotic experience in a matter of minutes, providing valuable training data for their reinforcement learning environment. The team behind Eka is pushing the boundaries of what is possible with robotics by leveraging reinforcement learning, rather than relying on human demonstrations or video data collected from gigworkers. This approach allows the robot to learn and adapt at an unprecedented pace, far surpassing what could be achieved through traditional training methods. Agrawal and Haarnoja, Eka's co-founders, are both leading researchers in the field of reinforcement learning for robotics control. Their experience and expertise have been instrumental in developing the company's innovative approach to robotic manipulation, which has proven to be a game-changer in the industry. The use of simulation as a key component of Eka's technology is a significant departure from traditional approaches, where robots often rely on human operators or gigworkers to collect data. By leveraging simulations, the company has been able to achieve reliable manipulation of objects, a feat that has proven elusive for many robotics developers in the past. The success of Eka's approach has far-reaching implications for the field of robotics and beyond. As researchers continue to push the boundaries of what is possible with artificial intelligence and machine learning, it will be exciting to see how this technology evolves and is applied in various industries. The current state of physical AI models reveals a significant challenge: they can either be highly specialized in one task or more generalizable but not particularly proficient in multiple tasks. This trade-off has hindered the development of robots that can quickly learn and adapt to new situations. Researchers have made progress in creating robots with increased general intelligence, such as Astra, which can operate a robot in an unfamiliar setting. However, these advancements come with significant costs, including time and resources. The potential of generative AI lies in its ability to enable robots to rapidly acquire multiple skills and adapt to novel situations. Eka's approach differs from the conventional method of focusing on high-level planning and then pushing it down towards physical tasks. Instead, Eka co-founder Haarnoja emphasizes the importance of starting with the physical aspect and working upwards. This unique perspective has led to the development of a model capable of handling complex physical tasks. While Eka's innovation shows promise, the company still needs to demonstrate its effectiveness in real-world applications. The firm is conducting secretive pilots with industrial customers for pick-and-place and wire manipulation tasks. However, translating lab results into successful deployment on production lines remains a significant challenge. Eka's team is aware that translating lab results into successful deployment on production lines will be a significant challenge. Experts have pointed out that even if Eka's physical AI model proves effective in controlled environments, it may struggle to maintain performance over time. According to Hauser, the model needs to run continuously for an entire year without breaking down, which is a daunting task. Agrawal has acknowledged this concern and emphasized the importance of deployability. He believes that Eka's gripper hardware, which costs less than $1,000, is a crucial aspect in achieving this goal. Currently, the hardware is rated for 5 million duty cycles, but Agrawal aims to increase it to 20 million cycles, the standard set by industrial arms. Eka is taking a pragmatic approach to developing its technology, focusing on specific verticals such as pick, arrange, place, and wire handling. By achieving success in these areas, the company hopes to lay the groundwork for more ambitious projects that can be built upon. Eka's recent valuation of $1.45 billion has sparked interest in its innovative approach to artificial intelligence. The company's physical AI model has garnered attention from experts who are impressed by its capabilities. The success of Eka's model is likely a result of the company's focus on building a robust foundation for more ambitious projects in the future. By achieving success in these areas, the groundwork is being laid for even more innovative ventures to be developed. --- Source: [TechCrunch](https://techcrunch.com/2026/10/20/eka-is-worth-1-45-billion-thanks-to-a-physical-ai-model-that-has-experts-raving/) Published by Noti Group: https://noti.group/robotic-manipulation-breakthrough-by-eka-robotics/