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Current agriculture and farming industries are able to reap advancements in robotics and automation technology to harvest fruits and vegetables using robots with adaptive grasping forces based on the compliance or softness of the fruit or…

Robotics · Computer Science 2024-12-24 Shahid Ansari , Mahendra Kumar Gohil , Bishakh Bhattacharya

Pneunets are the primary form of soft robotic grippers. A key limitation to their wider adoption is their inability to grasp larger payloads due to objects slipping out of grasps. We have overcome this limitation by introducing a…

Robotics · Computer Science 2024-01-26 Ian Sullivan Good , Srivatsan Balaji , Jeffrey Ian Lipton

Opening sterile medical packaging is routine for healthcare workers but remains challenging for robots. Learning from demonstration enables robots to acquire manipulation skills directly from humans, and handheld gripper tools such as the…

Robotics · Computer Science 2026-03-19 Gina L. Georgadarellis , Natalija Beslic , Seonhun Lee , Frank C. Sup , Meghan E. Huber

Conventional fluid-driven soft grippers typically depend on external sources, which limit portability and long-term autonomy. This work introduces a self-contained soft gripper with fixed size that operates solely through internal liquid…

Robotics · Computer Science 2026-04-30 Zhihang Qin , Yueheng Zhang , Wan Su , Linxin Hou , Shenghao Zhou , Zhijun Chen , Yu Jun Tan , Cecilia Laschi

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

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…

Current approaches to grasp planning for robotics demonstrate high success rates, but degrade with noisy sensors and other factors. Previous works have proposed tactile-based grasp stability classifiers to detect failures, but these…

Robotics · Computer Science 2026-05-08 Kyle DuFrene , Cindy Grimm

Grip surfaces with tunable friction can actively modify contact conditions, enabling transitions between higher- and lower-friction states for grasp adjustment. Friction can be increased to grip securely and then decreased to gently release…

Robotics · Computer Science 2025-06-24 Katherine Allison , Jonathan Kelly , Benjamin Hatton

We present a new approach to robot hand design specifically suited for successfully implementing robot learning methods to accomplish tasks in daily human environments. We introduce BaRiFlex, an innovative gripper design that alleviates the…

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

Handheld grippers are increasingly used to collect human demonstrations due to their ease of deployment and versatility. However, most existing designs lack tactile sensing, despite the critical role of tactile feedback in precise…

Robotics · Computer Science 2025-11-13 Xinyue Zhu , Binghao Huang , Yunzhu Li

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

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

Grasping an unknown object is difficult for robot hands. When the characteristics of the object are unknown, knowing how to plan the speed at and width to which the fingers are narrowed is difficult. In this paper, we propose a method to…

Robotics · Computer Science 2024-10-23 Shunsuke Tokiwa , Hikaru Arita , Yosuke Suzuki , Kenji Tahara

This paper presents a design methodology of a hydraulically-driven soft robotic gripper for grasping a large and heavy object -- approximately 10 - 20 kg with 20 - 30 cm diameter. Most existing soft grippers are pneumatically actuated with…

Robotics · Computer Science 2026-01-15 Ko Yamamoto , Kyosuke Ishibashi , Hiroki Ishikawa , Osamu Azami

Grasping object,whether they are flat, round, or narrow and whether they have regular or irregular shapes,introduces difficulties in determining the ideal grasping posture, even for the most state-of-the-art grippers. In this article, we…

Robotics · Computer Science 2024-05-07 Chenghua Lu , Kailuan Tang , Max Yang , Tianqi Yue , Nathan F. Lepora

While the grasping capability of robotic grippers has shown significant development, the ability to manipulate objects within the hand is still limited. One explanation for this limitation is the lack of controlled contact variation between…

Robotics · Computer Science 2024-04-16 Qiujie Lu , Angus B. Clark , Matthew Shen , Nicolas Rojas

Grasping, in both biological and engineered mechanisms, can be highly sensitive to the gripper and object morphology, as well as perception, and motion planning. Here we circumvent the need for feedback or precise planning by using an array…

Robotic grippers are receiving increasing attention in various industries as essential components of robots for interacting and manipulating objects. While significant progress has been made in the past, conventional rigid grippers still…

Robotics · Computer Science 2024-04-02 Qianyu Guo , Ziqing Yu , Jiaming Fu , Yawen Lu , Yahya Zweiri , Dongming Gan

Separating thin, flexible layers that must be individually grasped is a common but challenging manipulation primitive for most off-the-shelf grippers. A prominent example arises in clinical settings: the opening of sterile flat pouches for…

Robotics · Computer Science 2026-03-12 Sergi Foix , Jaume Oriol , Carme Torras , Júlia Borràs