A method to enable robotic paper folding based on deep learning and physics simulations

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

To tackle different real-world tasks, robots should be able to handle and manipulate a variety of objects and materials, including paper. While roboticists have successfully improved the ability of humanoid robots or robotic grippers to handle several materials, paper folding remains a rarely explored topic within the robotics community.

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Generative AI to Improve Credit Card Loyalty

by AI Generated Robotic ContentTextPosted on Comments are Disabled

Banking looks different than it did in the past. As more consumers adopt online banking platforms to better suit their increasingly-digital lives, their expectations for financial institutions have also shifted.  Today, consumers are looking for seamless, individualized experiences from the financial companies they work with. But how can companies deliver these experiences to them?  In …

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Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

Reinforcement learning provides a conceptual framework for autonomous agents to learn from experience, analogously to how one might train a pet with treats. But practical applications of reinforcement learning are often far from natural: instead of using RL to learn through trial and error by actually attempting the desired task, typical RL applications use a …

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