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To design a general-purpose assembly robot system that can handle objects of various shapes, we propose a soft jig that fits to the shapes of assembly parts. The functionality of the soft jig is based on a jamming gripper developed in the…

Robotics · Computer Science 2021-11-18 Takuya Kiyokawa , Tatsuya Sakuma , Jun Takamatsu , Tsukasa Ogasawara

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

For assembly tasks, it is essential to firmly fix target parts and to accurately estimate their poses. Several rigid jigs for individual parts are frequently used in assembly factories to achieve precise and time-efficient product assembly.…

Robotics · Computer Science 2021-09-17 Tatsuya Sakuma , Takuya Kiyokawa , Jun Takamatsu , Takahiro Wada , Tsukasa Ogasawara

The disassembly of small household appliances poses significant challenges due to their complex and curved geometries, which render traditional rigid fixtures inadequate. In this paper, we propose a modular vacuum-based fixturing system…

Robotics · Computer Science 2025-08-11 Haohui Pan , Takuya Kiyokawa , Tomoki Ishikura , Shingo Hamada , Genichiro Matsuda , Kensuke Harada

Able to grasp objects of any shape and size, universal grippers using variable stiffness phenomenon such as granular jamming have been developed for disaster robotics application. However, as their contact interface is mainly composed of…

Robotics · Computer Science 2019-12-05 Kenjiro Tadakuma , Toshiaki Fujimoto , Masahiro Watanabe , Tori Shimizu

Grasping a variety of objects remains a key challenge in the development of versatile robotic systems. The human hand is remarkably dexterous, capable of grasping and manipulating objects with diverse shapes, mechanical properties, and…

Robotics · Computer Science 2024-10-11 Ngoc-Duy Tran , Hoang-Hiep Ly , Xuan-Thuan Nguyen , Thi-Thoa Mac , Anh Nguyen , Tung D. Ta

We propose a novel tri-fingered soft robotic gripper with decoupled stiffness and shape control capability for performing adaptive grasping with minimum system complexity. The proposed soft fingers adaptively conform to object shapes…

Robotics · Computer Science 2020-10-23 Dimuthu D. Arachchige , Yue Chen , Ian D. Walker , Isuru S. Godage

Soft modular robots enable more flexibility and safer interaction with the changing environment than traditional robots. However, it has remained challenging to create deformable connectors that can be integrated into soft machines. In this…

Robotics · Computer Science 2020-04-13 Yu Alexander Tse , Shuai Liu , Yang Yang , Michael Yu Wang

Grasping objects with diverse mechanical properties, such as heavy, slippery, or fragile items, remains a significant challenge in robotics. Conventional rigid grippers typically rely on increasing the normal forces to secure an object,…

We present a sampling-based approach to reasoning about the caging-based manipulation of rigid and a simplified class of deformable 3D objects subject to energy constraints. Towards this end, we propose the notion of soft fixtures extending…

Robotics · Computer Science 2023-09-06 Yifei Dong , Florian T. Pokorny

Soft grippers, for stable grasping of objects, with high compliance could be considered a suitable candidate for replacement of conventional rigid grippers, and in recent years, they have been emerging exponentially in industries. Not only…

Robotics · Computer Science 2020-11-24 Amirhosein Alian , Mohammad Zareinejad , Heidar Ali Talebi

One of the trendsetting themes in soft robotics has been the goal of developing the ultimate universal soft robotic gripper. One that is capable of manipulating items of various shapes, sizes, thicknesses, textures, and weights. All the…

Robotics · Computer Science 2024-05-17 Ryo Kanno , Pham H. Nguyen , Joshua Pinskier , David Howard , Sukho Song , Mirko Kovac

Humans possess a remarkable ability to react to unpredictable perturbations through immediate mechanical responses, which harness the visco-elastic properties of muscles to maintain balance. Inspired by this behaviour, we propose a novel…

Robotics · Computer Science 2024-03-14 Lois Liow , James Brett , Josh Pinskier , Lauren Hanson , Louis Tidswell , Navinda Kottege , David Howard

Compared to traditional rigid robotics, soft robotics has attracted increasing attention due to its advantages as compliance, safety, and low cost. As an essential part of soft robotics, the soft robotic gripper also shows its superior…

Robotics · Computer Science 2021-12-30 Xing Wang , Hanwen Kang , Hongyu Zhou , Wesley Au , Chao Chen

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…

Robotics · Computer Science 2019-12-17 Yufei Hao , Shantonu Biswas , Elliot Hawkes , Tianmiao Wang , Mengjia Zhu , Li Wen , Yon Visell

Grasping is an essential capability for most robots in practical applications. Soft robotic grippers are considered as a critical part of robotic grasping and have attracted considerable attention in terms of the advantages of the high…

Robotics · Computer Science 2021-11-09 Huixu Dong , Chao-Yu Chen , Chen Qiu , Chen-Hua Yeow , Haoyong Yu

Recently, suction-based robotic systems with microscopic features or active suction components have been proposed to grip rough and irregular surfaces. However, sophisticated fabrication methods or complex control systems are required for…

Applied Physics · Physics 2021-07-19 Sukho Song , Dirk-Michael Drotlef , Donghoon Son , Anastasia Koivikko , Metin Sitti

Living organisms intertwine soft (e.g., muscle) and hard (e.g., bones) materials, giving them an intrinsic flexibility and resiliency often lacking in conventional rigid robots. The emerging field of soft robotics seeks to harness these…

Robotics · Computer Science 2018-02-21 John Rieffel , Jean-Baptiste Mouret

Soft grippers have excellent adaptability for a variety of objects and tasks. Jamming-based variable stiffness materials can further increase soft grippers' gripping force and capacity. Previous universal grippers enabled by granular…

Robotics · Computer Science 2023-04-13 Yuchen Zhao , Yifan Wang

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
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