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相关论文: RBO Hand 3 -- A Platform for Soft Dexterous Manipu…

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Dexterity is a central yet ambiguously defined concept in the design and evaluation of anthropomorphic robotic hands. In practice, the term is often used inconsistently, with different systems evaluated under disparate criteria, making…

机器人学 · 计算机科学 2026-04-13 Davide Liconti , Yuning Zhou , Yasunori Toshimitsu , Ronan Hinchet , Robert K. Katzschmann

Achieving human-level manipulation requires dexterous robotic hands capable of complex object interactions. Advancing such capabilities further demands standardized benchmarks for systematic evaluation. However, existing dexterous…

Most robotic hands and grippers rely on actuators with large gearboxes and force sensors for controlling gripping force. However, this might not be ideal for tasks that require the robot to interact with an unstructured and unknown…

机器人学 · 计算机科学 2024-05-30 Jay Best , Amin Fakhari

Machines that mimic humans have inspired scientists for centuries. Bio-inspired soft robotic hands are a good example of such an endeavor, featuring intrinsic material compliance and continuous motion to deal with uncertainty and adapt to…

机器人学 · 计算机科学 2023-08-10 Samuel Alves , Mihail Babcinschi , Afonso Silva , Diogo Neto , Diogo Fonseca , Pedro Neto

The human hand has an inherent ability to manipulate and re-orientate objects without external assistance. As a consequence, we are able to operate tools and perform an array of actions using just one hand, without having to continuously…

机器人学 · 计算机科学 2023-07-26 Thomas Mack , Ketao Zhang , Kaspar Althoefer

This study introduces a novel language-guided diffusion-based learning framework, DexTOG, aimed at advancing the field of task-oriented grasping (TOG) with dexterous hands. Unlike existing methods that mainly focus on 2-finger grippers,…

机器人学 · 计算机科学 2025-04-08 Jieyi Zhang , Wenqiang Xu , Zhenjun Yu , Pengfei Xie , Tutian Tang , Cewu Lu

To achieve human-like dexterity for anthropomorphic robotic hands, it is essential to understand the biomechanics and control strategies of the human hand, in order to reduce the number of actuators being used without loosing hand…

机器人学 · 计算机科学 2018-09-13 Zhong Zhang , Tao Han , Jia Pan , Zheng Wang

The manipulation of large objects and safe operation in the vicinity of humans are key capabilities of a general purpose domestic robotic assistant. We present the design of a soft, tactile-sensing humanoid upper-body robot and demonstrate…

Multi-degree of freedom robots are playing very important role in different applications of automation. They are providing much more accuracy in carrying out a typical procedure as compared to the manual work done by human. In recent years…

机器人学 · 计算机科学 2020-12-29 Param Kothari

We present in-hand manipulation skills on a dexterous, compliant, anthropomorphic hand. Even though these skills were derived in a simplistic manner, they exhibit surprising robustness to variations in shape, size, weight, and placement of…

机器人学 · 计算机科学 2022-01-28 Aditya Bhatt , Adrian Sieler , Steffen Puhlmann , Oliver Brock

A challenging and important problem for tendon-driven multi-fingered robotic hands is to ensure grasping adaptivity while minimizing the number of actuators needed to provide human-like functionality. Inspired by the Pisa/IIT SoftHand, this…

The design and fabrication of soft robot hands is still a time-consuming and difficult process. Advances in rapid prototyping have accelerated the fabrication process significantly while introducing new complexities into the design process.…

机器人学 · 计算机科学 2022-04-19 Dominik Bauer , Cornelia Bauer , Arjun Lakshmipathy , Roberto Shu , Nancy S. Pollard

This paper presents a numerical method to conceive and design the kinematic model of an anthropomorphic robotic hand used for gesturing and grasping. In literature, there are few numerical methods for the finger placement of human-inspired…

机器人学 · 计算机科学 2015-04-07 Giulio Cerruti , Damien Chablat , David Gouaillier , Sophie Sakka

Multi-step dexterous manipulation is a fundamental skill in household scenarios, yet remains an underexplored area in robotics. This paper proposes a modular approach, where each step of the manipulation process is addressed with dedicated…

In this work, we introduce the EyeSight Hand, a novel 7 degrees of freedom (DoF) humanoid hand featuring integrated vision-based tactile sensors tailored for enhanced whole-hand manipulation. Additionally, we introduce an actuation scheme…

机器人学 · 计算机科学 2024-08-13 Branden Romero , Hao-Shu Fang , Pulkit Agrawal , Edward Adelson

A robotic hand design suitable for dexterity should be examined using functional tests. To achieve this, we designed a mechanical glove, which is a rigid wearable glove that enables us to develop the corresponding isomorphic robotic hand…

机器人学 · 计算机科学 2021-09-23 Takayuki Kanai , Yoshiyuki Ohmura , Akihiko Nagakubo , Yasuo Kuniyoshi

Dexterous intelligence -- the ability to perform complex interactions with multi-fingered hands -- is a pinnacle of human physical intelligence and emergent higher-order cognitive skills. However, contrary to Moravec's paradox, dexterous…

机器人学 · 计算机科学 2025-07-15 Gagan Khandate

Following the recent advances in the field of robotic hand development, it can be inferred that the greatest challenge lies in restoring not just general functionality, but the delicate dexterity of the human hand. Results from studying its…

机器人学 · 计算机科学 2019-09-18 Benedek Jozsef Tasi , Miklos Koller , Gyorgy Cserey

Commercially accessible dexterous robot hands are increasingly prevalent, but many remain difficult to use as scientific instruments. For example, the Inspire RH56DFX hand exposes only uncalibrated proprioceptive information and shows…

机器人学 · 计算机科学 2026-03-11 Xuan Tan , William Xie , Nikolaus Correll

Grasping a variety of objects remains a key challenge in the development of versatile robotic systems. The human hand is remarkably dexterous, capable of grasping and manipulating objects with diverse shapes, mechanical properties, and…

机器人学 · 计算机科学 2024-10-11 Ngoc-Duy Tran , Hoang-Hiep Ly , Xuan-Thuan Nguyen , Thi-Thoa Mac , Anh Nguyen , Tung D. Ta