The human hand is able to achieve an unparalleled diversity of manipulation actions. One
contributor to this capability is the structure of the human finger pad, where soft internal …

Current grasping methods for aerial vehicles are slow, inaccurate and they cannot adapt to
any target object. Thus, they do not allow for on-the-fly, ultra-fast grasping. In this paper, we …

The grasping dynamics between a soft gripper and a deformable object has not been
investigated so far. To this end, a 3D printed soft robot gripper with modular design was …

Human fingers possess compliant contact interfaces with predetermined compliance
properties. Replicating these compliance properties in robotic limbs, particularly …

Contact models for soft fingertips are able to precisely compute deformation when
information about contact forces and object position is known, thus improving the traditional …

The snap of a finger has been used as a form of communication and music for millennia
across human cultures. However, a systematic analysis of the dynamics of this rapid motion …

This paper presents a novel fingertip system with a two-layer structure for robotic hands. The
outer part of the structure consists of a rubber bag filled with fluid, called the “fluid fingertip,” …

This paper presents the design and implementation of a four-fingered soft robotic
manipulator. Each finger is driven by a fiber-reinforced actuator. Unlike the traditional rigid …

深層学習をはじめとする機械学習分野の進歩や, ビジョンセンサ・力覚センサ等の性能向上により,
ロボットの知能化が進んでいる. これまで, 工場の生産ラインで, 同じ位置にある同じ物体を …

抄録 This paper proposes the evaluation of grasping object. We developed the fingertip
constructed rubber bag filled with a viscoelastic fluid; we call the fingertip fluid fingertip. The …