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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…

Robotics · Computer Science 2020-08-28 IA Sainul , Sankha Deb , AK Deb

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

Robot arms that assist humans should be able to pick up, move, and release everyday objects. Today's assistive robot arms use rigid grippers to pinch items between fingers; while these rigid grippers are well suited for large and heavy…

Robotics · Computer Science 2022-10-31 Shaunak A. Mehta , Yeunhee Kim , Joshua Hoegerman , Michael D. Bartlett , Dylan P. Losey

Robot grasping is subject to an inherent tradeoff: Grippers with a large span typically take a longer time to close, and fast grippers usually cover a small span. However, many practical applications of soft grippers require the ability to…

Robotics · Computer Science 2023-10-03 Zechen Xiong , Zihan Guo , Li Yuan , Yufeng Su , Yitong Liu , Hod Lipson

The engineering design of robotic grippers presents an ample design space for optimization towards robust grasping. In this paper, we adopt the reconfigurable design of the robotic gripper using a novel soft finger structure with…

Robotics · Computer Science 2020-07-14 Fang Wan , Haokun Wang , Jiyuan Wu , Yujia Liu , Sheng Ge , Chaoyang Song

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

Soft grippers, with their inherent compliance and adaptability, show advantages for delicate and versatile manipulation tasks in robotics. This paper presents a novel approach to underactuated control of multiple soft actuators, explicitly…

Robotics · Computer Science 2024-08-06 Wu-Te Yang , Burak Kurkcu , Masayoshi Tomizuka

We introduce the Grasp EveryThing (GET) gripper, a novel 1-DoF, 3-finger design for securely grasping objects of many shapes and sizes. Mounted on a standard parallel jaw actuator, the design features three narrow, tapered fingers arranged…

Robotics · Computer Science 2025-08-01 Michael Burgess , Edward H. Adelson

Endowing robots with tactile capabilities opens up new possibilities for their interaction with the environment, including the ability to handle fragile and/or soft objects. In this work, we equip the robot gripper with low-cost…

Robotics · Computer Science 2023-06-12 Michael C. Welle , Martina Lippi , Haofei Lu , Jens Lundell , Andrea Gasparri , Danica Kragic

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

Grasping has long been considered an important and practical task in robotic manipulation. Yet achieving robust and efficient grasps of diverse objects is challenging, since it involves gripper design, perception, control and learning, etc.…

Robotics · Computer Science 2023-04-06 Fukang Liu , Fuchun Sun , Bin Fang , Xiang Li , Songyu Sun , Huaping Liu

We consider the problem of reorienting a rigid object with arbitrary known shape on a table using a two-finger pinch gripper. Reorienting problem is challenging because of its non-smoothness and high dimensionality. In this work, we focus…

Robotics · Computer Science 2019-12-06 Yifan Hou , Zhenzhong Jia , Matthew T. Mason

Reaching-and-grasping is a fundamental skill for robotic manipulation, but existing methods usually train models on a specific gripper and cannot be reused on another gripper. In this paper, we propose a novel method that can learn a…

Robotics · Computer Science 2025-02-04 Qijin She , Shishun Zhang , Yunfan Ye , Ruizhen Hu , Kai Xu

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

This paper presents the technique of flex-and-flip manipulation. It is suitable for grasping thin, flexible linear objects lying on a flat surface. During the manipulation process, the object is first flexed by a robotic gripper whose…

Robotics · Computer Science 2023-04-04 Chunli Jiang , Abdullah Nazir , Ghasem Abbasnejad , Jungwon Seo

For successful object manipulation with robotic hands, it is important to ensure that the object remains in the grasp at all times. In addition to grasp constraints associated with slipping and singular hand configurations, excessive…

Robotics · Computer Science 2018-11-28 Wenceslao Shaw Cortez , Denny Oetomo , Chris Manzie , Peter Choong

Shape-morphing robots have shown benefits in industrial grasping. We propose form-flexible grippers for adaptive grasping. The design is based on the hybrid jamming and suction mechanism, which deforms to handle objects that vary…

Robotics · Computer Science 2025-07-03 Huijiang Wang , Holger Kunz , Timon Adler , Fumiya Iida

The intricate kinematics of the human hand enable simultaneous grasping and manipulation of multiple objects, essential for tasks such as object transfer and in-hand manipulation. Despite its significance, the domain of robotic multi-object…

Robotics · Computer Science 2024-03-15 Yuyang Li , Bo Liu , Yiran Geng , Puhao Li , Yaodong Yang , Yixin Zhu , Tengyu Liu , Siyuan Huang

Aerial robots have garnered significant attention due to their potential applications in various industries, such as inspection, search and rescue, and drone delivery. Successful missions often depend on the ability of these robots to grasp…

Robotics · Computer Science 2024-03-26 Hiu Ching Cheung , Ching-Wei Chang , Bailun Jiang , Chih-Yung Wen , Henry K. Chu

This study proposes a novel robotic hand that can achieve self-adaptive grasping and a large payload (over 20 kg) with a single actuator. Accordingly, two novel mechanisms, an actuation system with self-motion switching and a self-adaptive…

Robotics · Computer Science 2023-03-10 Toshihiro Nishimura , Tsubasa Muryoe , Tetsuyou Watanabe