Feeling is believing: Bionic hand ‘knows’ what it’s touching, grasps like a human
Johns Hopkins University engineers have developed a pioneering prosthetic hand that can grip plush toys, water bottles, and other everyday objects like a human, carefully conforming and adjusting its grasp to avoid damaging or mishandling whatever it holds.
Researchers have unveiled a robotic hand, the F-TAC Hand, which integrates high-resolution tactile sensing across an unprecedented 70% of its surface area, allowing for human-like adaptive grasping. This pioneering development, published in Nature Machine Intelligence today, represents a significant leap forward in robotic intelligence and its ability to interact with…
To effectively tackle a variety of real-world tasks, robots should be able to reliably grasp objects of different shapes, textures and sizes, without dropping them in undesired locations. Conventional approaches to enhancing the ability of robots to grasp objects work by tightening the grip of a robotic hand to prevent…
This paper was accepted at the workshop at "Human-in-the-Loop Learning Workshop" at NeurIPS 2022. Preference-based reinforcement learning (RL) algorithms help avoid the pitfalls of hand-crafted reward functions by distilling them from human preference feedback, but they remain impractical due to the burdensome number of labels required from the human, even…