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We automate soft robotic hand design iteration by co-optimizing design and control policy for dexterous manipulation skills in simulation. Our design iteration pipeline combines genetic algorithms and policy transfer to learn control…

Robotics · Computer Science 2024-06-27 Pragna Mannam , Xingyu Liu , Ding Zhao , Jean Oh , Nancy Pollard

Soft robotic manipulators with many degrees of freedom can carry out complex tasks safely around humans. However, manufacturing of soft robotic hands with several degrees of freedom requires a complex multi-step manual process, which…

Robotics · Computer Science 2023-10-26 Hanna Matusik , Chao Liu , Daniela Rus

Current anthropomorphic robotic hands mainly focus on improving their dexterity by devising new mechanical structures and actuation systems. However, most of them rely on a single structure/system (e.g., bone-only) and ignore the fact that…

Soft robotic hands promise to provide compliant and safe interaction with objects and environments. However, designing soft hands to be both compliant and functional across diverse use cases remains challenging. Although co-design of…

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…

This paper addresses the scarcity of affordable, fully-actuated five-fingered hands for dexterous teleoperation, which is crucial for collecting large-scale real-robot data within the "Learning from Demonstrations" paradigm. We introduce…

Robotics · Computer Science 2025-10-22 Zhaoliang Wan , Zida Zhou , Zetong Bi , Zehui Yang , Hao Ding , Hui Cheng

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.…

Robotics · Computer Science 2022-04-19 Dominik Bauer , Cornelia Bauer , Arjun Lakshmipathy , Roberto Shu , Nancy S. Pollard

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 article investigates the challenge of achieving functional tool-use grasping with high-DoF anthropomorphic hands, with the aim of enabling anthropomorphic hands to perform tasks that require human-like manipulation and tool-use.…

Robotics · Computer Science 2023-04-03 Wei Wei , Peng Wang , Sizhe Wang

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…

Robotics · Computer Science 2023-08-10 Samuel Alves , Mihail Babcinschi , Afonso Silva , Diogo Neto , Diogo Fonseca , Pedro Neto

The application of teleoperation to control robotic arms has been widely explored, and user-friendly teleoperation systems have been studied for facilitating higher performance and lower operational burden. To investigate the dominant…

Robotics · Computer Science 2026-03-03 Jun Aoki , Shunki Itadera

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…

Robotics · Computer Science 2021-09-23 Takayuki Kanai , Yoshiyuki Ohmura , Akihiko Nagakubo , Yasuo Kuniyoshi

Biological synergies have emerged as a widely adopted paradigm for dexterous hand design, enabling human-like manipulation with a small number of actuators. Nonetheless, excessive coupling tends to diminish the dexterity of hands. This…

Robotics · Computer Science 2025-12-01 Zelong Zhou , Wenrui Chen , Zeyun Hu , Qiang Diao , Qixin Gao , Yaonan Wang

Replicating human--level dexterity remains a fundamental robotics challenge, requiring integrated solutions from mechatronic design to the control of high degree--of--freedom (DoF) robotic hands. While imitation learning shows promise in…

This paper addresses the scarcity of low-cost but high-dexterity platforms for collecting real-world multi-fingered robot manipulation data towards generalist robot autonomy. To achieve it, we propose the RAPID Hand, a co-optimized hardware…

Robotics · Computer Science 2025-06-10 Zhaoliang Wan , Zetong Bi , Zida Zhou , Hao Ren , Yiming Zeng , Yihan Li , Lu Qi , Xu Yang , Ming-Hsuan Yang , Hui Cheng

Robot hands that imitate the shape of the human body have been actively studied, and various materials and mechanisms have been proposed to imitate the human body. Although the use of soft materials is advantageous in that it can imitate…

Robotics · Computer Science 2025-03-04 Kazuhiro Miyama , Kento Kawaharazuka , Kei Okada , Masayuki Inaba

This paper presents the SoftHand Model-W: a 3D-printed, underactuated, anthropomorphic robot hand based on the Pisa/IIT SoftHand, with an integrated antagonistic tendon mechanism and 2 degree-of-freedom tendon-driven wrist. These four…

We present the RBO Hand 3, a highly capable and versatile anthropomorphic soft hand based on pneumatic actuation. The RBO Hand 3 is designed to enable dexterous manipulation, to facilitate transfer of insights about human dexterity, and to…

Robotics · Computer Science 2022-05-11 Steffen Puhlmann , Jason Harris , Oliver Brock

Conventional industrial robots often use two-fingered grippers or suction cups to manipulate objects or interact with the world. Because of their simplified design, they are unable to reproduce the dexterity of human hands when manipulating…

Robotics · Computer Science 2025-09-18 Jana Egli , Benedek Forrai , Thomas Buchner , Jiangtao Su , Xiaodong Chen , Robert K. Katzschmann

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…

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