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Robotic manipulation has made significant advancements, with systems demonstrating high precision and repeatability. However, this remarkable precision often fails to translate into efficient manipulation of thin deformable objects. Current…

Robotics · Computer Science 2025-07-09 Chao Zhao , Chunli Jiang , Lifan Luo , Shuai Yuan , Qifeng Chen , Hongyu Yu

Robotic manipulation in unstructured environments requires end-effectors that combine high kinematic dexterity with physical compliance. While traditional rigid hands rely on complex external sensors for safe interaction, electrohydraulic…

Dexterous in-hand manipulation is a unique and valuable human skill requiring sophisticated sensorimotor interaction with the environment while respecting stability constraints. Satisfying these constraints with generated motions is…

Robotic dexterous hands are central to contact-rich manipulation, with rapid progress driven by advances in hardware, sensing, control, simulation, and data generation. However, existing studies are often developed under different…

Robotics · Computer Science 2026-05-18 Weiguang Zhao , Tian Liang , Xihao Guo , Rui Zhang , Irwin King , Kaizhu Huang

This paper introduces a unique force control and adaptation algorithm for a lightweight and low-complexity five-fingered robotic hand, namely an Integrated-Finger Robotic Hand (IFRH). The force control and adaptation algorithm is intuitive…

Robotics · Computer Science 2024-07-30 Eric Mountain , Ean Weise , Sibo Tian , Beiwen Li , Xiao Liang , Minghui Zheng

Grasp synergies represent a useful idea to reduce grasping complexity without compromising versatility. Synergies describe coordination patterns between joints, either in terms of position (joint angles) or effort (joint torques). In both…

Robotics · Computer Science 2020-06-29 Tianjian Chen , Long Wang , Maximilan Haas-Heger , Matei Ciocarlie

Tendon-driven under-actuated robotic fingers provide advantages for dexterous manipulation through reduced actuator requirements and simplified mechanical design. However, achieving both high load capacity and adaptive compliance in a…

Robotics · Computer Science 2025-12-12 Quan Yuan , Zhenting Du , Daqian Cao , Weibang Bai

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

This paper proposes a novel robotic hand design for assembly tasks. The idea is to combine two simple grippers -- an inner gripper which is used for precise alignment, and an outer gripper which is used for stable holding. Conventional…

Robotics · Computer Science 2018-09-13 Kaidi Nie , Weiwei Wan , Kensuke Harada

This paper presents a novel underactuated adaptive robotic hand, Hockens-A Hand, which integrates the Hoeckens mechanism, a double-parallelogram linkage, and a specialized four-bar linkage to achieve three adaptive grasping modes: parallel…

Robotics · Computer Science 2025-10-16 Wentao Guo , Yizhou Wang , Wenzeng Zhang

This paper presents a control scheme for force sensitive, gentle grasping with a Pisa/IIT anthropomorphic SoftHand equipped with a miniaturised version of the TacTip optical tactile sensor on all five fingertips. The tactile sensors provide…

Human-robot collaboration has benefited users with higher efficiency towards interactive tasks. Nevertheless, most collaborative schemes rely on complicated human-machine interfaces, which might lack the requisite intuitiveness compared…

Robotics · Computer Science 2024-10-28 Haolin Fei , Stefano Tedeschi , Yanpei Huang , Andrew Kennedy , Ziwei Wang

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…

Robotics · Computer Science 2024-08-13 Branden Romero , Hao-Shu Fang , Pulkit Agrawal , Edward Adelson

We introduce an efficient approach for learning dexterous grasping with minimal data, advancing robotic manipulation capabilities across different robotic hands. Unlike traditional methods that require millions of grasp labels for each…

Robotics · Computer Science 2025-02-25 Hao-Shu Fang , Hengxu Yan , Zhenyu Tang , Hongjie Fang , Chenxi Wang , Cewu Lu

Grasping object,whether they are flat, round, or narrow and whether they have regular or irregular shapes,introduces difficulties in determining the ideal grasping posture, even for the most state-of-the-art grippers. In this article, we…

Robotics · Computer Science 2024-05-07 Chenghua Lu , Kailuan Tang , Max Yang , Tianqi Yue , Nathan F. Lepora

Human grasps can be roughly categorized into two types: power grasps and precision grasps. Precision grasping enables tool use and is believed to have influenced human evolution. Today's multi-fingered robotic hands are effective in power…

Robotics · Computer Science 2025-11-18 Jianglong Ye , Lai Wei , Guangqi Jiang , Changwei Jing , Xueyan Zou , Xiaolong Wang

In-hand manipulation using multiple dexterous fingers is a critical robotic skill that can reduce the reliance on large arm motions, thereby saving space and energy. This letter focuses on in-grasp object movement, which refers to…

Robotics · Computer Science 2025-03-24 Mingrui Yu , Yongpeng Jiang , Chen Chen , Yongyi Jia , Xiang Li

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

Dynamic and contact-rich object manipulation, such as striking, snatching, or hammering, remains challenging for robotic systems due to hardware limitations. Most existing robots are constrained by high-inertia design, limited compliance,…

Robotics · Computer Science 2025-05-27 Jaehyung Kim , Jiho Kim , Dongryung Lee , Yujin Jang , Beomjoon Kim

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