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Dexterous multi-fingered hands are extremely versatile and provide a generic way to perform a multitude of tasks in human-centric environments. However, effectively controlling them remains challenging due to their high dimensionality and…

Machine Learning · Computer Science 2018-06-27 Aravind Rajeswaran , Vikash Kumar , Abhishek Gupta , Giulia Vezzani , John Schulman , Emanuel Todorov , Sergey Levine

Dexterous manipulation is limited by both control and design, without consensus as to what makes manipulators best for performing dexterous tasks. This raises a fundamental challenge: how should we design and control robot manipulators that…

Robotic dexterous in-hand manipulation, where multiple fingers dynamically make and break contact, represents a step toward human-like dexterity in real-world robotic applications. Unlike learning-based approaches that rely on large-scale…

Robotics · Computer Science 2025-05-09 Yongpeng Jiang , Mingrui Yu , Xinghao Zhu , Masayoshi Tomizuka , Xiang Li

A hyper-redundant robotic arm is a manipulator with many degrees of freedom, capable of executing tasks in cluttered environments where robotic arms with fewer degrees of freedom are unable to operate. This paper introduces a new method for…

Robotics · Computer Science 2018-03-13 Marios P. Xanthidis , Kostantinos J. Kyriakopoulos , Ioannis Rekleitis

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…

Robotics · Computer Science 2026-03-11 Xuan Tan , William Xie , Nikolaus Correll

Aiming to replicate human-like dexterity, perceptual experiences, and motion patterns, we explore learning from human demonstrations using a bimanual system with multifingered hands and visuotactile data. Two significant challenges exist:…

Robotics · Computer Science 2024-05-24 Toru Lin , Yu Zhang , Qiyang Li , Haozhi Qi , Brent Yi , Sergey Levine , Jitendra Malik

Teleoperation offers the possibility of imparting robotic systems with sophisticated reasoning skills, intuition, and creativity to perform tasks. However, current teleoperation solutions for high degree-of-actuation (DoA), multi-fingered…

Computer Vision and Pattern Recognition · Computer Science 2019-10-16 Ankur Handa , Karl Van Wyk , Wei Yang , Jacky Liang , Yu-Wei Chao , Qian Wan , Stan Birchfield , Nathan Ratliff , Dieter Fox

Teaching a multi-fingered dexterous robot to grasp objects in the real world has been a challenging problem due to its high dimensional state and action space. We propose a robot-learning system that can take a small number of human…

Computer Vision and Pattern Recognition · Computer Science 2022-09-29 Zoey Qiuyu Chen , Karl Van Wyk , Yu-Wei Chao , Wei Yang , Arsalan Mousavian , Abhishek Gupta , Dieter Fox

Robots will become ubiquitously useful only when they can use few attempts to teach themselves to perform different tasks, even with complex bodies and in dynamical environments. Vertebrates, in fact, successfully use trial-and-error to…

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…

Humans can achieve diverse in-hand manipulations, such as object pinching and tool use, which often involve simultaneous contact between the object and multiple fingers. This is still an open issue for robotic hands because such dexterous…

Robotics · Computer Science 2026-02-06 Pranav Ponnivalavan , Satoshi Funabashi , Alexander Schmitz , Tetsuya Ogata , Shigeki Sugano

Bimanual manipulation with tactile feedback will be key to human-level robot dexterity. However, this topic is less explored than single-arm settings, partly due to the availability of suitable hardware along with the complexity of…

Robotics · Computer Science 2023-07-14 Yijiong Lin , Alex Church , Max Yang , Haoran Li , John Lloyd , Dandan Zhang , Nathan F. Lepora

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

In robotic surgery, the surgeon controls robotic instruments using dedicated interfaces. One critical limitation of current interfaces is that they are designed to be operated by only the hands. This means that the surgeon can only control…

Human-Computer Interaction · Computer Science 2019-02-14 Yanpei Huang , Etienne Burdet , Lin Cao , Phuoc Thien Phan , Anthony Meng Huat Tiong , Soo Jay Phee

The convergence of robotics and virtual reality (VR) has enabled safer and more efficient workflows in high-risk laboratory settings, particularly virology labs. As biohazard complexity increases, minimizing direct human exposure while…

Robotics · Computer Science 2025-06-18 Farha Abdul Wasay , Mohammed Abdul Rahman , Hania Ghouse

While humans can use parts of their arms other than the hands for manipulations like gathering and supporting, whether robots can effectively learn and perform the same type of operations remains relatively unexplored. As these…

Robotics · Computer Science 2024-05-10 Hongjie Fang , Hao-Shu Fang , Yiming Wang , Jieji Ren , Jingjing Chen , Ruo Zhang , Weiming Wang , Cewu Lu

We present DexUMI - a data collection and policy learning framework that uses the human hand as the natural interface to transfer dexterous manipulation skills to various robot hands. DexUMI includes hardware and software adaptations to…

Robotics · Computer Science 2025-10-03 Mengda Xu , Han Zhang , Yifan Hou , Zhenjia Xu , Linxi Fan , Manuela Veloso , Shuran Song

Robotic hands are an important tool for replacing humans in handling toxic or radioactive materials. However, these are usually highly expensive, and in many cases, once they are contaminated, they cannot be re-used. Some solutions cope…

Robotics · Computer Science 2024-05-21 Alon Laron , Eran Sne , Yaron Perets , Avishai Sintov

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…

Robotics · Computer Science 2015-04-07 Giulio Cerruti , Damien Chablat , David Gouaillier , Sophie Sakka

We present a novel underactued humanoid five finger soft hand, the KIT \softhand, which is equipped with cameras in the fingertips and integrates a high performance embedded system for visual processing and control. We describe the…

Robotics · Computer Science 2020-06-08 Felix Hundhausen , Julia Starke , Tamim Asfour