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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…

机器人学 · 计算机科学 2020-04-29 Naveen Kuppuswamy , Alex Alspach , Avinash Uttamchandani , Sam Creasey , Takuya Ikeda , Russ Tedrake

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…

应用物理 · 物理学 2021-07-19 Sukho Song , Dirk-Michael Drotlef , Donghoon Son , Anastasia Koivikko , Metin Sitti

Multi-suction-cup grippers are frequently employed to perform pick-and-place robotic tasks, especially in industrial settings where grasping a wide range of light to heavy objects in limited amounts of time is a common requirement. However,…

机器人学 · 计算机科学 2024-08-08 Jee-eun Lee , Robert Sun , Andrew Bylard , Luis Sentis

Selective fruit harvesting is a challenging manipulation problem due to occlusions and clutter arising from plant foliage. A harvesting gripper should i) have a small cross-section, to avoid collisions while approaching the fruit; ii) have…

机器人学 · 计算机科学 2024-08-14 Alejandro Velasquez , Cindy Grimm , Joseph R. Davidson

This study proposed a novel robotic gripper that can achieve grasping and infinite wrist twisting motions using a single actuator. The gripper is equipped with a differential gear mechanism that allows switching between the grasping and…

机器人学 · 计算机科学 2022-11-11 Toshihiro Nishimura , Yosuke Suzuki , Tokuo Tsuji , Tetsuyou Watanabe

As global demand for fruits and vegetables continues to rise, the agricultural industry faces challenges in securing adequate labor. Robotic harvesting devices offer a promising solution to solve this issue. However, harvesting delicate…

机器人学 · 计算机科学 2025-01-15 Johannes F. Elfferich , Ebrahim Shahabi , Cosimo Della Santina , Dimitra Dodou

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…

机器人学 · 计算机科学 2023-04-13 Yuchen Zhao , Yifan Wang

Robotic grasping is facing a variety of real-world uncertainties caused by non-static object states, unknown object properties, and cluttered object arrangements. The difficulty of grasping increases with the presence of more uncertainties,…

机器人学 · 计算机科学 2025-09-10 Hao Chen , Takuya Kiyokawa , Weiwei Wan , Kensuke Harada

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,…

软凝聚态物质 · 物理学 2024-07-31 Angel Santarossa , Thorsten Pöschel

Fruit harvesting remains predominantly a labor-intensive process, motivating the development of research for robotic grippers. Conventional rigid or vacuum-driven grippers require complex mechanical design or high energy consumption.…

机器人学 · 计算机科学 2025-10-22 Dharmik Patel , Antonio Rafael Vazquez Pantoja , Jiuzhou Lei , Kiju Lee , Xiao Liang , Minghui Zheng

This paper proposes a novel robotic hand design for assembly tasks. The idea is to combine two simple grippers -- an inner gripper which is used for precise alignment, and an outer gripper which is used for stable holding. Conventional…

机器人学 · 计算机科学 2018-09-13 Kaidi Nie , Weiwei Wan , Kensuke Harada

The rise in additive manufacturing comes with unique opportunities and challenges. Massive part customization and rapid design changes are made possible with additive manufacturing, however, manufacturing industries that desire the…

机器人学 · 计算机科学 2024-03-29 Joyce Xin-Yan Lim , Quang-Cuong Pham

Objects grasping, also known as the bin-picking, is one of the most common tasks faced by industrial robots. While much work has been done in related topics, grasping randomly piled objects still remains a challenge because much of the…

机器人学 · 计算机科学 2020-12-07 Jiaxin Guo , Lian Fu , Mingkai Jia , Kaijun Wang , Shan Liu

In this paper, a novel robotic grasping system is established to automatically pick up objects in cluttered scenes. A composite robotic hand composed of a suction cup and a gripper is designed for grasping the object stably. The suction cup…

机器人学 · 计算机科学 2023-02-22 Yuhong Deng , Xiaofeng Guo , Yixuan Wei , Kai Lu , Bin Fang , Di Guo , Huaping Liu , Fuchun Sun

Picking unseen objects from clutter is a difficult problem because of the variability in objects (shape, size, and material) and occlusion due to clutter. As a result, it becomes difficult for grasping methods to segment the objects…

机器人学 · 计算机科学 2023-12-21 Prem Raj , Aniruddha Singhal , Vipul Sanap , L. Behera , Rajesh Sinha

Ants are highly capable of grasping objects in clutter, and we have recently observed that this involves substantial use of their forelegs. The forelegs, more specifically the tarsi, have high friction microstructures (setal pads), are…

机器人学 · 计算机科学 2026-02-03 Mohamed Sorour , Barbara Webb

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…

机器人学 · 计算机科学 2026-03-12 Sergi Foix , Jaume Oriol , Carme Torras , Júlia Borràs

Picking diverse objects in the real world is a fundamental robotics skill. However, many objects in such settings are bulky, heavy, or irregularly shaped, making them ungraspable by conventional end effectors like suction grippers and…

机器人学 · 计算机科学 2024-09-25 Albert Wu , Dan Kruse

Fabricating existing and popular open-source adaptive robotic grippers commonly involves using multiple professional machines, purchasing a wide range of parts, and tedious, time-consuming assembly processes. This poses a significant…

机器人学 · 计算机科学 2023-05-29 Xin Zhou , Adam J. Spiers

This paper presents a robotic pick-and-place system that is capable of grasping and recognizing both known and novel objects in cluttered environments. The key new feature of the system is that it handles a wide range of object categories…