4 accepted papers
This paper presents a soft robot finger capable of adaptive-twist deformation to grasp objects by wrapping them. For a soft hand to grasp and pick-up one object from densely contained multiple objects, a soft finger requires the adaptivetwist deformation function in both in-plane and out-of-plane di…
This paper presents a soft robot finger capable of adaptive-twist deformation to grasp objects by wrapping them. For a soft hand to grasp and pick-up one object from densely contained multiple objects, a soft finger requires the <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http:
In situations where robots work alongside humans, they must be capable of responding flexibly to unexpected external forces. To address this challenge, researchers have conducted numerous studies on soft robotics. However, most of the soft hands studied so far are powered by pneumatic pressure and c…
In this study, we propose a novel iterative learning scheme, which generates time-series data comprising the impedance value for human-robot cooperative work, where the human operator moves the end-effector from an initial position to a goal position. The proposed learning scheme iteratively updates…