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A human-shaped robotic hand offers unparalleled versatility and fine motor skills, enabling it to perform a broad spectrum of tasks with precision, power and robustness. Across the paleontological record and animal kingdom we see a wide…

Robotics · Computer Science 2024-10-25 Kieran Gilday , Chapa Sirithunge , Fumiya Iida , Josie Hughes

A wide variety of robotic hands have been designed to date. Yet, we do not know how users perceive these hands and feel about interacting with them. To inform hand design for social robots, we compiled a dataset of 73 robot hands and ran an…

Robotics · Computer Science 2022-11-18 Hasti Seifi , Steven A. Vasquez , Hyunyoung Kim , Pooyan Fazli

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…

Robotics · Computer Science 2026-04-13 Davide Liconti , Yuning Zhou , Yasunori Toshimitsu , Ronan Hinchet , Robert K. Katzschmann

The variety of robotic hand designs and actuation schemes makes it difficult to measure a hand's graspable volume. For end-users, this lack of standardized measurements makes it challenging to determine a priori if a robot hand is the right…

Robotics · Computer Science 2022-04-28 John Morrow , Joshua Campbell , Nuha Nishat , Ravi Balasubramanian , Cindy Grimm

Robotic arms are highly common in various automation processes such as manufacturing lines. However, these highly capable robots are usually degraded to simple repetitive tasks such as pick-and-place. On the other hand, designing an optimal…

Robotics · Computer Science 2024-01-31 Inbar Meir , Avital Bechar , Avishai Sintov

Autonomous grasping remains challenging as unlike humans, robots do not possess a sophisticated sensing nor delicate interaction capability with the real environment. Among other efforts that tried to close the gap between them,…

Robotics · Computer Science 2022-03-10 Tai Hoang

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…

Robotics · Computer Science 2018-09-13 Zhong Zhang , Tao Han , Jia Pan , Zheng Wang

This paper addresses the planar finger kinematics for seeking optimized manipulation strategies. The first step is to model based on geometric features of linear and rotation motion so that the robot can select the fingers configurations.…

Robotics · Computer Science 2024-01-15 Jingyi Li

Despite recent advancements, existing prosthetic limbs are unable to replicate the dexterity and intuitive control of the human hand. Current control systems for prosthetic hands are often limited to grasping, and commercial prosthetic…

Reliably planning fingertip grasps for multi-fingered hands lies as a key challenge for many tasks including tool use, insertion, and dexterous in-hand manipulation. This task becomes even more difficult when the robot lacks an accurate…

Robotics · Computer Science 2022-12-19 Martin Matak , Tucker Hermans

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 assistance in minimally invasive surgery can greatly enhance surgical precision and reduce surgeon fatigue. This paper presents a focused investigation on the kinematic and ergonomic design principles for a laparoscopic surgical…

Robotics · Computer Science 2025-11-05 Tian Hao , Tong Lu , Che Chan

Dexterous robotic manipulation requires more than geometrically valid grasps: it demands physically grounded contact strategies that account for the spatially non-uniform mechanical properties of the object. However, existing grasp planners…

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

Grasping is an incredible ability of animals using their arms and limbs in their daily life. The human hand is an especially astonishing multi-fingered tool for precise grasping, which helped humans to develop the modern world. The…

Robotics · Computer Science 2023-01-03 Jose James

Manipulating objects with robotic hands is a complicated task. Not only the fingers of the hand, but also the pose of the robot's end effector need to be coordinated. Using human demonstrations of movements is an intuitive and…

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

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

Anthropomorphic underactuated hands are valued for their structural simplicity and inherent adaptability. However, the uncertainty arising from interdependent joint motions makes it challenging to capture various grasp states during…

Robotics · Computer Science 2025-12-01 Jae-Hyun Lee , Jonghoo Park , Kyu-Jin Cho

Developing physically assistive robots capable of dressing assistance has the potential to significantly improve the lives of the elderly and disabled population. However, most robotics dressing strategies considered a single robot only,…

Robotics · Computer Science 2024-02-14 Jihong Zhu , Michael Gienger , Giovanni Franzese , Jens Kober