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Robotic grippers are widely used in industries for handling objects. This paper presents the procedure of design and fabrication of a stepper motor controlled robotic gripper to be used in industries for handling small objects. The gripper…

Robotics · Computer Science 2021-05-25 Ramish , Farah Kanwal , Siraj Ali , Nida Ali

Under-actuated robot grippers as a pervasive tool of robots have become a considerable research focus. Despite their simplicity of mechanical design and control strategy, they suffer from poor versatility and weak adaptability, making…

Robotics · Computer Science 2024-03-20 Jihao Li , Tingbo Liao , Hassen Nigatu , Haotian Guo , Guodong Lu , Huixu Dong

Handling oversized, variable-shaped, or delicate objects in transportation, grasping tasks is extremely challenging, mainly due to the limitations of the gripper's shape and size. This paper proposes a novel gripper, Lasso Gripper. Inspired…

Robotics · Computer Science 2025-06-18 Qiyuan Qiao , Yu Wang , Xiyu Fan , Peng Lu

Biological systems, such as the octopus, exhibit masterful cross-scale manipulation by adaptively reconfiguring their entire form, a capability that remains elusive in robotics. Conventional soft grippers, while compliant, are mostly…

Robotics · Computer Science 2025-11-03 Dong Heon Han , Xiaohao Xu , Yuxi Chen , Yusheng Zhou , Xinqi Zhang , Jiaqi Wang , Daniel Bruder , Xiaonan Huang

Soft robotic grasping has rapidly spread through the academic robotics community in recent years and pushed into industrial applications. At the same time, multimaterial 3D printing has become widely available, enabling the monolithic…

Robotics · Computer Science 2023-03-16 Josh Pinskier , Prabhat Kumar , Matthijs Langelaar , David Howard

Reliable robotic grasping, especially with deformable objects such as fruits, remains a challenging task due to underactuated contact interactions with a gripper, unknown object dynamics and geometries. In this study, we propose a…

Robotics · Computer Science 2023-07-25 Yunhai Han , Kelin Yu , Rahul Batra , Nathan Boyd , Chaitanya Mehta , Tuo Zhao , Yu She , Seth Hutchinson , Ye Zhao

A problem that plagues robotic grasping is the misalignment of the object and gripper due to difficulties in precise localization, actuation, etc. Under-actuated robotic hands with compliant mechanisms are used to adapt and compensate for…

Robotics · Computer Science 2023-09-21 Naoki Fukaya , Avinash Ummadisingu , Kuniyuki Takahashi , Guilherme Maeda , Shin-ichi Maeda

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…

Soft robots are powerful tools for manipulating delicate objects, yet their adoption is hindered by two gaps: the lack of integrated tactile sensing and sensor signal distortion caused by actuator deformations. This paper addresses these…

Robotics · Computer Science 2025-12-04 Chengjin Du , Federico Bernabei , Zhengyin Du , Sergio Decherchi , Matteo Lo Preti , Lucia Beccai

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

This work details the design of a novel two finger robot gripper with multiple Gelsight based optical-tactile sensors covering the inner surface of the hand. The multiple Gelsight sensors can gather the surface topology of the object from…

Robotics · Computer Science 2020-02-10 Achu Wilson , Shaoxiong Wang , Branden Romero , Edward Adelson

This paper proposes a new variable stiffness soft gripper that enables high-performance grasping tasks in industrial applications. The design of the proposed monolithic soft gripper includes a middle bellow and two side bellows (i.e.,…

Robotics · Computer Science 2023-02-07 Mert Aydin , Emre Sariyildiz , Charbel Dalely Tawk , Rahim Mutlu , Gursel Alici

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

Robots are increasingly envisioned as human companions, assisting with everyday tasks that often involve manipulating deformable objects. Although recent advances in robotic hardware and embodied AI have expanded their capabilities, current…

Robotics · Computer Science 2025-06-19 Pei Lin , Yuzhe Huang , Wanlin Li , Jianpeng Ma , Chenxi Xiao , Ziyuan Jiao

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

Teleoperation is often limited by the ability of an operator to react and predict the behavior of the robot as it interacts with the environment. For example, to grasp small objects on a table, the teleoperator needs to predict the position…

Robotics · Computer Science 2022-05-17 Guilherme Maeda , Naoki Fukaya , Shin-ichi Maeda

To achieve a successful grasp, gripper attributes such as its geometry and kinematics play a role as important as the object geometry. The majority of previous work has focused on developing grasp methods that generalize over novel object…

Robot grasping of deformable hollow objects such as plastic bottles and cups is challenging as the grasp should resist disturbances while minimally deforming the object so as not to damage it or dislodge liquids. We propose minimal work as…

Robotics · Computer Science 2019-09-26 Jingyi Xu , Michael Danielczuk , Jeff Ichnowski , Jeffrey Mahler , Eckehard Steinbach , Ken Goldberg

We investigate the influence of particle stiffness on the grasping performance of granular grippers, a class of soft robotic effectors that utilize granular jamming for object manipulation. Through experimental analyses and X-ray imaging,…

Soft Condensed Matter · Physics 2024-07-31 Angel Santarossa , Thorsten Pöschel

Customized grippers have broad applications in industrial assembly lines. Compared with general parallel grippers, the customized grippers have specifically designed fingers to increase the contact area with the workpieces and improve the…

Robotics · Computer Science 2018-07-31 Yongxiang Fan , Hsien-Chung Lin , Te Tang , Masayoshi Tomizuka
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