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Wearable robotics bring the opportunity to augment human capability and performance, be it through prosthetics, exoskeletons, or supernumerary robotic limbs. The latter concept allows enhancing human performance and assisting them in daily…

Robotics · Computer Science 2018-08-02 James Cunningham , Anita Hapsari , Pierre Guilleminot , Ali Shafti , A. Aldo Faisal

It is challenging to grasp numerous objects with varying sizes and shapes with a single robot hand. To address this, we propose a new robot hand called the 'F3 hand' inspired by the complex movements of human index finger and thumb. The F3…

Robotics · Computer Science 2022-06-17 Naoki Fukaya , Avinash Ummadisingu , Guilherme Maeda , Shin-ichi Maeda

Human manipulation skills represent a pinnacle of their voluntary motor functions, requiring the coordination of many degrees of freedom and processing of high-dimensional sensor input to achieve remarkable dexterity. Thus, we set out to…

Human fingers achieve exceptional dexterity and adaptability by combining structures with varying stiffness levels, from soft tissues (low) to tendons and cartilage (medium) to bones (high). This paper explores developing a robotic finger…

This article presents a new hand architecture with three under-actuated fingers. Each finger performs spatial movements to achieve more complex and varied grasping than the existing planar-movement fingers. The purpose of this hand is to…

Robotics · Computer Science 2021-06-18 Pol Hamon , Damien Chablat , Franck Plestan

One important vision of robotics is to provide physical assistance by manipulating different everyday objects, e.g., hand tools, kitchen utensils. However, many objects designed for dexterous hand-control are not easily manipulable by a…

Robotics · Computer Science 2022-05-17 Jiahao Li , Alexis Samoylov , Jeeeun Kim , Xiang 'Anthony' Chen

Soft robotic hands and grippers are increasingly attracting attention as a robotic end-effector. Compared with rigid counterparts, they are safer for human-robot and environment-robot interactions, easier to control, lower cost and weight,…

Robotics · Computer Science 2021-09-07 Haihang Wang , Fares J. Abu-Dakka , Tran Nguyen Le , Ville Kyrki , He Xu

This work details the design of a novel two finger robot gripper with multiple Gelsight based optical-tactile sensors covering the inner surface of the hand. The multiple Gelsight sensors can gather the surface topology of the object from…

Robotics · Computer Science 2020-02-10 Achu Wilson , Shaoxiong Wang , Branden Romero , Edward Adelson

The problem of grasping objects using a multi-finger hand has received significant attention in recent years. However, it remains challenging to handle a large number of unfamiliar objects in real and cluttered environments. In this work,…

Robotics · Computer Science 2024-08-06 Hengxu Yan , Hao-Shu Fang , Cewu Lu

Most current anthropomorphic robotic hands can realize part of the human hand functions, particularly for object grasping. However, due to the complexity of the human hand, few current designs target at daily object manipulations, even for…

We propose a novel tri-fingered soft robotic gripper with decoupled stiffness and shape control capability for performing adaptive grasping with minimum system complexity. The proposed soft fingers adaptively conform to object shapes…

Robotics · Computer Science 2020-10-23 Dimuthu D. Arachchige , Yue Chen , Ian D. Walker , Isuru S. Godage

This work presents a framework for a robot with a multi-fingered hand to freely utilize daily tools, including functional parts like buttons and triggers. An approach heatmap is generated by selecting a functional finger, indicating optimal…

Robotics · Computer Science 2025-04-08 Malek Aburub , Kazuki Higashi , Weiwei Wan , Kensuke Harada

Robots with multi-fingered grippers could perform advanced manipulation tasks for us if we were able to properly specify to them what to do. In this study, we take a step in that direction by making a robot grasp an object like a grasping…

Robotics · Computer Science 2022-11-15 Yuming Du , Philippe Weinzaepfel , Vincent Lepetit , Romain Brégier

In this paper we explore state-of-the-art underactuated, compliant robot gripper designs through looking at their performance on a generic grasping task. Starting from a state of the art open gripper design, we propose design…

Robotics · Computer Science 2016-01-19 Eduardo Ruiz , Walterio Mayol-Cuevas

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…

Robotics · Computer Science 2025-10-29 Hiroki Ishikawa , Kyosuke Ishibashi , Ko Yamamoto

Robotic minimally invasive interventions typically require using more than two instruments. We thus developed a foot pedal interface which allows the user to control a robotic arm (simultaneously to working with the hands) with four degrees…

This study addresses the absence of an identification framework to quantify a comprehensive dynamic model of human and anthropomorphic tendon-driven fingers, which is necessary to investigate the physiological properties of human fingers…

Soft pneumatic fingers are of great research interest. However, their significant potential is limited as most of them can generate only one motion, mostly bending. The conventional design of soft fingers does not allow them to switch to…

Robotics · Computer Science 2025-01-14 Prashant Kumar , Weiwei Wan , Kensuke Harada

Human hands can not only grasp objects of various shape and size and manipulate them in hands but also exert such a large gripping force that they can support the body in the situations such as dangling a bar and climbing a ladder. On the…

This study proposes a novel robotic gripper with variable grasping configurations for grasping various objects. The fingers of the developed gripper incorporate multiple different surfaces. The gripper possesses the function of altering the…

Robotics · Computer Science 2024-03-26 Toshihiro Nishimura , Yosuke Suzuki , Tokuo Tsuj , Tetsuyou Watanabe
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