AI Researchers Are Teaching Robots to Mimic Human Dexterity - Decrypt

Researchers at MIT, the University of Bristol, and Stanford University are making significant progress in enhancing robotic dexterity and tactile sensing, using techniques like reinforcement learning and sim-to-real deep reinforcement learning, opening the possibilities for robots to manipulate objects with the finesse and precision of human hands.

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Relevant topic timeline:

8/22/2023

A deep learning technique to improve how robots grasp objects

Researchers at the University of Bonn's Autonomous Intelligent Systems research group have developed a deep reinforcement learning pipeline to enhance a robotic arm's ability to manipulate objects in ways that better support practical use, potentially contributing to the development of more effective robotic assistants.

8/24/2023

AI helps robots manipulate objects with their whole bodies

MIT researchers have developed an AI technique called smoothing that simplifies contact-rich manipulation planning for robots, enabling them to quickly identify effective manipulation plans and potentially leading to the use of smaller, mobile robots in factories and exploration missions.