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Robotic research encounters a significant hurdle when it comes to the intricate task of grasping objects that come in various shapes, materials, and textures. Unlike many prior investigations that heavily leaned on specialized point-cloud…

Robotics · Computer Science 2024-03-15 Chang Liu , Kejian Shi , Kaichen Zhou , Haoxiao Wang , Jiyao Zhang , Hao Dong

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

This paper, and its companion, propose a new fractal robotic gripper, drawing inspiration from the century-old Fractal Vise. The unusual synergistic properties allow it to passively conform to diverse objects using only one actuator.…

Robotics · Computer Science 2023-09-19 Malcolm G. A. Tisdale , Joel W. Burdick

For robot arms to perform everyday tasks in unstructured environments, these robots must be able to manipulate a diverse range of objects. Today's robots often grasp objects with either soft grippers or rigid end-effectors. However, purely…

One goal of dexterous robotic grasping is to allow robots to handle objects with the same level of flexibility and adaptability as humans. However, it remains a challenging task to generate an optimal grasping strategy for dexterous hands,…

Robotics · Computer Science 2024-05-17 Fuqiang Zhao , Dzmitry Tsetserukou , Qian Liu

Wheeled rovers have been the primary choice for lunar exploration due to their speed and efficiency. However, deeper areas, such as lunar caves and craters, require the mobility of legged robots. To do so, appropriate end effectors must be…

We want to build robots that are useful in unstructured real world applications, such as doing work in the household. Grasping in particular is an important skill in this domain, yet it remains a challenge. One of the key hurdles is…

Robotics · Computer Science 2017-11-21 Ulrich Viereck , Andreas ten Pas , Kate Saenko , Robert Platt

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…

Robotics · Computer Science 2024-08-14 Alejandro Velasquez , Cindy Grimm , Joseph R. Davidson

Building generalist robots capable of performing functional grasping in everyday, open-world environments remains a significant challenge due to the vast diversity of objects and tasks. Existing methods are either constrained to narrow…

Robotics · Computer Science 2026-04-10 Chao Tang , Jiacheng Xu , Haofei Lu , Bolin Zou , Wenlong Dong , Hong Zhang , Danica Kragic

Robotic cloth manipulation remains challenging due to the high-dimensional state space of fabrics, their deformable nature, and frequent occlusions that limit vision-based sensing. Although dual-arm systems can mitigate some of these…

Robotics · Computer Science 2026-03-12 Dongmyoung Lee , Wei Chen , Xiaoshuai Chen , Rui Zong , Petar Kormushev

As robots become more widely available outside industrial settings, the need for reliable object grasping and manipulation is increasing. In such environments, robots must be able to grasp and manipulate novel objects in various situations.…

Robotics · Computer Science 2023-12-01 Tomas van der Velde , Hamed Ayoobi , Hamidreza Kasaei

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

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

Achieving dexterous robotic grasping with multi-fingered hands remains a significant challenge. While existing methods rely on complete 3D scans to predict grasp poses, these approaches face limitations due to the difficulty of acquiring…

The verification of successful grasps is a crucial aspect of robot manipulation, particularly when handling deformable objects. Traditional methods relying on force and tactile sensors often struggle with deformable and non-rigid objects.…

Robotics · Computer Science 2025-05-07 Pau Amargant , Peter Hönig , Markus Vincze

This work introduces TRIGGER, the first lighTweight univeRsal jammInG Gripper for aErial gRasping. TRIGGER is an omnidirectional, landing-capable aerial grasping system with resilience and robustness to collisions and inherent passive…

Robotics · Computer Science 2023-05-22 Paul Kremer , Hamed Rahimi Nohooji , Jose Luis Sanchez-Lopez , Holger Voos

Soft grippers are gaining significant attention in the manipulation of elastic objects, where it is required to handle soft and unstructured objects which are vulnerable to deformations. A crucial problem is to estimate the physical…

Robotics · Computer Science 2020-03-04 Michał Bednarek , Piotr Kicki , Jakub Bednarek , Krzysztof Walas

Grasping is a fundamental task in robot-assisted surgery (RAS), and automating it can reduce surgeon workload while enhancing efficiency, safety, and consistency beyond teleoperated systems. Most prior approaches rely on explicit object…

Robotics · Computer Science 2025-08-18 Hongbin Lin , Bin Li , Kwok Wai Samuel Au

This article investigates the challenge of achieving functional tool-use grasping with high-DoF anthropomorphic hands, with the aim of enabling anthropomorphic hands to perform tasks that require human-like manipulation and tool-use.…

Robotics · Computer Science 2023-04-03 Wei Wei , Peng Wang , Sizhe Wang

Humans can steadily and gently grasp unfamiliar objects based on tactile perception. Robots still face challenges in achieving similar performance due to the difficulty of learning accurate grasp-force predictions and force control…

Robotics · Computer Science 2025-02-05 Mingxuan Li , Lunwei Zhang , Tiemin Li , Yao Jiang
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