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This paper introduces a novel and general method to address the problem of using a general-purpose robot manipulator with a parallel gripper to wrap a deformable linear object (DLO), called a rope, around a rigid object, called a rod,…

Robotics · Computer Science 2023-04-12 Zhaoyuan Ma , Jing Xiao

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…

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…

Robotics · Computer Science 2021-06-18 Pol Hamon , Damien Chablat , Franck Plestan

Manipulation in cluttered environments like homes requires stable grasps, precise placement and robustness against external contact. We present the Soft-Bubble gripper system with a highly compliant gripping surface and dense-geometry…

Robotics · Computer Science 2020-04-29 Naveen Kuppuswamy , Alex Alspach , Avinash Uttamchandani , Sam Creasey , Takuya Ikeda , Russ Tedrake

Humans grasp unfamiliar objects by combining an initial visual estimate with tactile and proprioceptive feedback during interaction. We present ShapeGrasp, a robotic implementation of this approach. The proposed method is an iterative…

Robotics · Computer Science 2026-05-05 Lukas Rustler , Matej Hoffmann

Achieving human-like dexterity in robotic grippers remains an open challenge, particularly in ensuring robust manipulation in uncertain environments. Soft robotic hands try to address this by leveraging passive compliance, a characteristic…

Robotics · Computer Science 2025-02-07 Maximilian Westermann , Marco Pontin , Leone Costi , Alessandro Albini , Perla Maiolino

Compliant and soft hands have gained a lot of attention in the past decade because of their ability to adapt to the shape of the objects, increasing their effectiveness for grasping. However, when it comes to grasping highly flexible…

Robotics · Computer Science 2020-04-10 Júlia Borràs , Guillem Alenya , Carme Torras

Grippers can be attached to objects in a rigid mode, and they are therefore used in various applications, for example granular jamming gripper. This paper introduces a cutting-edge radial layer jamming mechanism with is tunable stiffness,…

Object manipulation in robotics faces challenges due to diverse object shapes, sizes, and fragility. Gripper-based methods offer precision and low degrees of freedom (DOF) but the gripper limits the kind of objects to grasp. On the other…

Robotics · Computer Science 2025-09-01 Pratik Ingle , Kasper Støy , Andres Faiña

Ease of programming is a key factor in making robots ubiquitous in unstructured environments. In this work, we present a sensorized gripper built with off-the-shelf parts, used to record human demonstrations of a box in box assembly task.…

Robotics · Computer Science 2025-03-20 Sri Harsha Turlapati , Gautami Golani , Mohammad Zaidi Ariffin , Domenico Campolo

Rigid grippers used in existing aerial manipulators require precise positioning to achieve successful grasps and transmit large contact forces that may destabilize the drone. This limits the speed during grasping and prevents "dynamic…

Robotics · Computer Science 2021-10-04 Joshua Fishman , Samuel Ubellacker , Nathan Hughes , Luca Carlone

Regrasping on fixtures is a promising approach to reduce pose uncertainty in robotic assembly, but conventional rigid fixtures lack adaptability and require dedicated designs for each part. To overcome this limitation, we propose a soft jig…

Robotics · Computer Science 2025-09-18 Takuya Kiyokawa , Zhengtao Hu , Weiwei Wan , Kensuke Harada

Human hands can not only grasp objects of various shape and size and manipulate them in hands but also exert such a large gripping force that they can support the body in the situations such as dangling a bar and climbing a ladder. On the…

Intelligent vision control systems for surgical robots should adapt to unknown and diverse objects while being robust to system disturbances. Previous methods did not meet these requirements due to mainly relying on pose estimation and…

Robotics · Computer Science 2024-05-29 Hongbin Lin , Bin Li , Chun Wai Wong , Juan Rojas , Xiangyu Chu , Kwok Wai Samuel Au

The ability to robustly grasp a variety of objects is essential for dexterous robots. In this paper, we present a framework for zero-shot dynamic dexterous grasping using single-view visual inputs, designed to be resilient to various…

Robotics · Computer Science 2025-08-15 Hui Zhang , Zijian Wu , Linyi Huang , Sammy Christen , Jie Song

This paper, and its companion, propose a new fractal robotic gripper, drawing inspiration from the century-old Fractal Vise. The unusual synergistic properties allow it to passively conform to diverse objects using only one actuator.…

Robotics · Computer Science 2023-09-19 Malcolm G. A. Tisdale , Joel W. Burdick

Grasping deformable objects with varying stiffness remains a significant challenge in robotics. Estimating the local stiffness of a target object is important for determining an optimal grasp pose that enables stable pickup without damaging…

Robotics · Computer Science 2026-03-31 Ngoc Duy Tran , Yeman Fan , Feng Dai , Khang Nguyen , Anh Nguyen , Hoang Hiep Ly , Tung D. Ta , Shigeru Chiba

For robot manipulation, both the controller and end-effector design are crucial. Soft grippers are generalizable by deforming to different geometries, but designing such a gripper and finding its grasp pose remains challenging. In this…

Robotics · Computer Science 2025-09-03 Sha Yi , Xueqian Bai , Adabhav Singh , Jianglong Ye , Michael T Tolley , Xiaolong Wang

One important vision of robotics is to provide physical assistance by manipulating different everyday objects, e.g., hand tools, kitchen utensils. However, many objects designed for dexterous hand-control are not easily manipulable by a…

Robotics · Computer Science 2022-05-17 Jiahao Li , Alexis Samoylov , Jeeeun Kim , Xiang 'Anthony' Chen

Soft grippers are gaining significant attention in the manipulation of elastic objects, where it is required to handle soft and unstructured objects which are vulnerable to deformations. A crucial problem is to estimate the physical…

Robotics · Computer Science 2020-03-04 Michał Bednarek , Piotr Kicki , Jakub Bednarek , Krzysztof Walas