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Soft robotic grippers are shown to be high effective for grasping unstructured objects with simple sensing and control strategies. However, they are still limited by their speed, sensing capabilities and actuation mechanism. Hence, their…

Soft grippers are receiving growing attention due to their compliance-based interactive safety and dexterity. Hybrid gripper (soft actuators enhanced by rigid constraints) is a new trend in soft gripper design. With right structural…

机器人学 · 计算机科学 2021-10-20 Wenpei Zhu , Chenghua Lu , Qule Zheng , Zhonggui Fang , Haichuan Che , Kailuan Tang , Mingchao Zhu , Sicong Liu , Zheng Wang

The task of controlling an underactuated robotic finger with a single tendon and a single actuator is difficult. Methods for controlling the class of underactuated systems are available in the literature. However, this particular system…

系统与控制 · 计算机科学 2019-02-11 Kunal Sanjay Narkhede , Aashay Anil Bhise , IA Sainul , Sankha Deb

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

Selective fruit harvesting is a challenging manipulation problem due to occlusions and clutter arising from plant foliage. A harvesting gripper should i) have a small cross-section, to avoid collisions while approaching the fruit; ii) have…

机器人学 · 计算机科学 2024-08-14 Alejandro Velasquez , Cindy Grimm , Joseph R. Davidson

A key challenge in robotics is to create efficient methods for grasping objects with diverse shapes, sizes, poses, and properties. Grasping with hand-like end effectors often requires careful selection of hand orientation and finger…

机器人学 · 计算机科学 2019-12-17 Yufei Hao , Shantonu Biswas , Elliot Hawkes , Tianmiao Wang , Mengjia Zhu , Li Wen , Yon Visell

We introduce a novel reconfigurable passive joint (RP-joint), which has been implemented and tested on an underactuated three-finger robotic gripper. RP-joint has no actuation, but instead it is lightweight and compact. It can be easily…

Realizing high-performance soft robotic grippers is challenging because of the inherent limitations of the soft actuators and artificial muscles that drive them, including low force output, small actuation range, and poor compactness.…

机器人学 · 计算机科学 2022-09-26 David Bombara , Revanth Konda , Steven Swanbeck , Jun Zhang

Soft robotics gripper have shown great promise in handling fragile and geometrically complex objects. However, most existing solutions rely on bulky actuators, complex control strategies, or advanced tactile sensing to achieve stable and…

机器人学 · 计算机科学 2025-11-04 Peiyi Wang , Paul A. M. Lefeuvre , Shangwei Zou , Zhenwei Ni , Daniela Rus , Cecilia Laschi

Soft and lightweight grippers have greatly enhanced the performance of robotic manipulators in handling complex objects with varying shape, texture, and stiffness. However, the combination of universal grasping with passive sensing…

机器人学 · 计算机科学 2024-01-18 Kieran Barvenik , Zachary Coogan , Gabriele Librandi , Matteo Pezzulla , Eleonora Tubaldi

Soft robots, made from compliant materials, exhibit complex dynamics due to their flexibility and high degrees of freedom. Controlling soft robots presents significant challenges, particularly underactuation, where the number of inputs is…

机器人学 · 计算机科学 2025-02-25 Wu-Te Yang , Pei-Chun Lin

The number of sequential tasks a single gripper can perform is significantly limited by its design. In many cases, changing the gripper fingers is required to successfully conduct multiple consecutive tasks. For this reason, several robotic…

The properties and applications of auxetics have been widely explored in the past years. Through proper utilization of auxetic structures, designs with unprecedented mechanical and structural behaviors can be produced. Taking advantage of…

机器人学 · 计算机科学 2021-04-01 Shuai Liu , Sheeraz Athar , Michael Yu Wang

Achieving robust grasping with dexterous hands remains challenging, especially when manipulation involves dynamic forces such as impacts, torques, and continuous resistance--situations common in real-world tool use. Existing methods largely…

机器人学 · 计算机科学 2026-02-25 Harsh Gupta , Mohammad Amin Mirzaee , Wenzhen Yuan

In this paper, design and development of a sensor integrated adaptive gripper is presented. Adaptive grippers are useful for grasping objects of varied geometric shapes by wrapping fingers around the object. The finger closing sequence in…

机器人学 · 计算机科学 2020-08-28 IA Sainul , Sankha Deb , AK Deb

This article presents a new hand architecture with three under-actuated fingers. Each finger performs spatial movements to achieve more complex and varied grasping than the existing planar-movement fingers. The purpose of this hand is to…

机器人学 · 计算机科学 2021-06-18 Pol Hamon , Damien Chablat , Franck Plestan

Modern humanoid robots have shown their promising potential for executing various tasks involving the grasping and manipulation of objects using their end-effectors. Nevertheless, in the most of the cases, the grasping and manipulation…

We study gravitational pivoting, a constrained version of in-hand manipulation, where we aim to control the rotation of an object around the grip point of a parallel gripper. To achieve this, instead of controlling the gripper to avoid…

机器人学 · 计算机科学 2022-10-12 Jason Toskov , Rhys Newbury , Mustafa Mukadam , Dana Kulić , Akansel Cosgun

This paper develops a mechanical tool as well as its manipulation policies for 2-finger parallel robotic grippers. It primarily focuses on a mechanism that converts the gripping motion of 2-finger parallel grippers into a continuous…

机器人学 · 计算机科学 2021-08-10 Zhengtao Hu , Weiwei Wan , Keisuke Koyama , Kensuke Harada

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…

机器人学 · 计算机科学 2024-05-07 Chenghua Lu , Kailuan Tang , Max Yang , Tianqi Yue , Nathan F. Lepora