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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

Soft tissue manipulation is an integral aspect of most surgical procedures; however, the vast majority of surgical graspers used today are made of hard materials, such as metals or hard plastics. Furthermore, these graspers predominately…

Robotics · Computer Science 2025-01-15 Roman Mykhailyshyn , Ann Majewicz Fey

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

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

Assistive robotic grasping plays an important role in enabling safe and adaptive manipulation of diverse objects. However, existing systems often rely on electronic sensing and multi-stage processing pipelines, increasing system complexity…

Robotics · Computer Science 2026-05-08 Jing Xu , Xuezhi Niu , Didem Gurdur Broo , Klas Hjort

In this work, we present GraspFlow, a refinement approach for generating context-specific grasps. We formulate the problem of grasp synthesis as a sampling problem: we seek to sample from a context-conditioned probability distribution of…

Robotics · Computer Science 2023-08-15 Tasbolat Taunyazov , Heng Zhang , John Patrick Eala , Na Zhao , Harold Soh

Manipulating fragile objects in environments such as homes and factories requires stable and gentle grasping along with precise and safe placement. Compared to traditional rigid grippers, the use of soft grippers reduces the control…

Robotics · Computer Science 2024-10-07 Xuyang Zhang , Tianqi Yang , Dandan Zhang , Nathan F. Lepora

This research introduces a novel hydrofoil-based propulsion framework for unmanned aquatic robots, inspired by the undulating locomotion observed in select aquatic species. The proposed system incorporates a camber-modulating mechanism to…

Robotics · Computer Science 2024-10-31 Luca Romanello , Leonard Hohaus , David-Marian Schmitt , Mirko Kovac , Sophie F. Armanini

Robotic manipulation with two-finger grippers is challenged by objects lacking distinct graspable features. Traditional pre-grasping methods, which typically involve repositioning objects or utilizing external aids like table edges, are…

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

Fruit harvesting has recently experienced a shift towards soft grippers that possess compliance, adaptability, and delicacy. In this context, pneumatic grippers are popular, due to provision of high deformability and compliance, however…

Robotics · Computer Science 2022-12-14 Therese Joseph , Sarah Baldwin , Lillian Guan , James Brett , David Howard

Force-aware grasping is an essential capability for most robots in practical applications. Especially for compliant grippers, such as Fin-Ray grippers, it still remains challenging to build a bidirectional mathematical model that mutually…

Robotics · Computer Science 2023-06-21 Huixu Dong , Ziyi Zheng , Haotian Guo , Sihao Yang , Chen Qiu , Jiansheng Dai , I-Ming Chen

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

Cables are complex, high dimensional, and dynamic objects. Standard approaches to manipulate them often rely on conservative strategies that involve long series of very slow and incremental deformations, or various mechanical fixtures such…

Robotics · Computer Science 2020-06-24 Yu She , Shaoxiong Wang , Siyuan Dong , Neha Sunil , Alberto Rodriguez , Edward Adelson

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…

Robotics · Computer Science 2021-04-01 Shuai Liu , Sheeraz Athar , Michael Yu Wang

Precise robotic grasping of several novel objects is a huge challenge in manufacturing, automation, and logistics. Most of the current methods for model-free grasping are disadvantaged by the sparse data in grasping datasets and by errors…

Robotics · Computer Science 2023-01-31 Lei Zhang , Kaixin Bai , Zhaopeng Chen , Yunlei Shi , Jianwei Zhang

We present CloudGripper, an open source cloud robotics testbed, consisting of a scalable, space and cost-efficient design constructed as a rack of 32 small robot arm work cells. Each robot work cell is fully enclosed and features individual…

Robotics · Computer Science 2023-09-25 Muhammad Zahid , Florian T. Pokorny

Bimanual grasping is essential for robots to handle large and complex objects. However, existing methods either focus solely on single-arm grasping or employ separate grasp generation and bimanual evaluation stages, leading to coordination…

Robotics · Computer Science 2026-03-18 Kangmin Kim , Seunghyeok Back , Geonhyup Lee , Sangbeom Lee , Sangjun Noh , Kyoobin Lee

We present a novel robot end-effector for gripping and haptic exploration. Tactile sensing through suction flow monitoring is applied to a new suction cup design that contains multiple chambers for air flow. Each chamber connects with its…

In recent years, there has been a significant effort dedicated to developing efficient, robust, and general human-to-robot handover systems. However, the area of flexible handover in the context of complex and continuous objects' motion…

Robotics · Computer Science 2023-08-31 Gu Zhang , Hao-Shu Fang , Hongjie Fang , Cewu Lu