Columbia Engineering | Dexterous Manipulation with Tactile Fingers @ColumbiaSEAS | Uploaded April 2023 | Updated October 2024, 3 hours ago.
Researchers at Columbia Engineering demonstrate a highly dexterous robot hand that combines an advanced sense of touch with motor learning algorithms in order to achieve a high level of dexterity. As a demonstration of skill, the team chose a difficult manipulation task: executing an arbitrarily large rotation of an unevenly shaped grasped object in hand while always maintaining the object in a stable, secure hold. This is a very difficult task because it requires constant repositioning of a subset of fingers, while the other fingers have to keep the object stable.
Not only was the hand able to perform this task, but it also did it without any visual feedback whatsoever, based solely on touch sensing. In addition to the new levels of dexterity, the hand worked without any external cameras, so it's immune to lighting, occlusion, or similar issues.
Researchers at Columbia Engineering demonstrate a highly dexterous robot hand that combines an advanced sense of touch with motor learning algorithms in order to achieve a high level of dexterity. As a demonstration of skill, the team chose a difficult manipulation task: executing an arbitrarily large rotation of an unevenly shaped grasped object in hand while always maintaining the object in a stable, secure hold. This is a very difficult task because it requires constant repositioning of a subset of fingers, while the other fingers have to keep the object stable.
Not only was the hand able to perform this task, but it also did it without any visual feedback whatsoever, based solely on touch sensing. In addition to the new levels of dexterity, the hand worked without any external cameras, so it's immune to lighting, occlusion, or similar issues.
