Our founding team comes from the AI labs at Stanford and Carnegie Mellon. Nimble is pioneering intelligent robotic manipulation to reinvent eCommerce fulfillment. Reinventing fulfillment with nimble robots that can pick and pack anything. The resulting system, TossingBot, is able to grasp and throw arbitrary objects into boxes located outside its maximum reach range at 500+ mean picks per hour (600+ grasps per hour with 85% throwing accuracy) and generalizes to new objects and target locations. Nimble Robotics 6,340 followers on LinkedIn. Within this formulation, we investigate the synergies between grasping and throwing ( i.e., learning grasps that enable more accurate throws) and between simulation and deep learning ( i.e., using deep networks to predict residuals on top of control parameters predicted by a physics simulator). The South San Francisco-based company raised a 6.5 billion Series I at a 50 billion valuation. Bright Machines Crunchbase Website Twitter Facebook Linkedin Bright Machines brings together flexible factory robots with intelligent software, production data and machine learning. Stripe, 6.5B, fintech: The biggest round of the week went to payments giant Stripe, but it is not the typical huge, late-stage growth round. In this work, we propose an end-to-end formulation that jointly learns to infer control parameters for grasping and throwing motion primitives from visual observations (images of arbitrary objects in a bin) through trial and error. Georges Harik was Director of Googlettes, a start-up incubator that operated inside Google, and a Distinguished Engineer at Google. Cruise Crunchbase Website Twitter Facebook Linkedin Cruise builds self-driving vehicles that safely connect people to places, things, and experiences they care about. mass distribution, friction, shape) and dynamics ( e.g. Building a fully autonomous 3PL fulfillment service to power the future of fast, efficient and sustainable commerce. initial pose of object in manipulator) to handling varying object-centric properties ( e.g. Nimble LinkedIn Nimble 9,794 followers on LinkedIn. However, precisely throwing arbitrary objects in unstructured settings presents many challenges: from acquiring reliable pre-throw conditions ( e.g. Nimble Robotics 7.508 følgere på LinkedIn. In the case of pick-and-place for example, throwing can enable a robot arm to rapidly place objects into selected boxes outside its maximum kinematic range - improving its physical reachability and picking speed. Throwing is an excellent means of exploiting dynamics to increase the capabilities of a manipulator. TossingBot: Learning to Throw Arbitrary Objects with Residual Physics
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