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Related papers: Granular jamming gripper with integrated suction

200 papers

In industry assembly lines, parts feeding machines are widely employed as the prologue of the whole procedure. They play the role of sorting the parts randomly placed in bins to the state with specified pose. With the help of the parts…

Robotics · Computer Science 2019-09-20 Jie Zhao , Xin Jiang , Xiaoman Wang , Shengfan Wang , Yunhui 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

Aerial transportation requires a simple yet reliable gripper for picking and placing objects of interest. In this work, we design an aerial gripper for passive grasping and impulsive release of ferrous coated objects. Permanent magnets are…

Robotics · Computer Science 2020-12-14 V. SRajashekhar , M. R. Vibha , Kaushik Das , Debasish Ghose

Robotic manipulation of flexible objects is widely required in both industrial and service applications. Among such objects, paper-like materials exhibit distinct mechanical characteristics compared to cloth, being more sensitive to…

Robotics · Computer Science 2026-05-13 Yi Dong , Yang Li , Jinjun Duan , Zhendong Dai

Robotic grasping requires safe force interaction to prevent a grasped object from being damaged or slipping out of the hand. In this vein, this paper proposes an integrated framework for grasping with formal safety guarantees based on…

Robotics · Computer Science 2025-11-20 Yitaek Kim , Jeeseop Kim , Albert H. Li , Aaron D. Ames , Christoffer Sloth

We introduce the soft curvature and spectroscopy (SCANS) system: a versatile, electronics-free, fluidically actuated soft manipulator capable of assessing the spectral properties of objects either in hand or through pre-touch caging. This…

Robotics · Computer Science 2025-10-03 Nathaniel Hanson , Austin Allison , Charles DiMarzio , Taşkın Padır , Kristen L. Dorsey

Object manipulation in robotics faces challenges due to diverse object shapes, sizes, and fragility. Gripper-based methods offer precision and low degrees of freedom (DOF) but the gripper limits the kind of objects to grasp. On the other…

Robotics · Computer Science 2025-09-01 Pratik Ingle , Kasper Støy , Andres Faiña

Grasping is essential in robotic manipulation, yet challenging due to object and gripper diversity and real-world complexities. Traditional analytic approaches often have long optimization times, while data-driven methods struggle with…

Robotics · Computer Science 2024-12-16 Wenzheng Zhang , Fahira Afzal Maken , Tin Lai , Fabio Ramos

In the robotic crop harvesting environment, foreign objects intrusion in the gripper workspace is frequently occurring and unignorable, however, rarely addressed. This paper presents a novel intelligent robotic grasping method capable of…

Robotics · Computer Science 2021-10-19 Hongyu Zhou , Xing Wang , Hanwen Kang , Chao Chen

Grip control during robotic in-hand manipulation is usually modeled as part of a monolithic task, relying on complex controllers specialized for specific situations. Such approaches do not generalize well and are difficult to apply to novel…

Robotics · Computer Science 2018-06-14 Filipe Veiga , Benoni B. Edin , Jan Peters

Robotic hands with soft surfaces can perform stable grasping, but the high friction of the soft surfaces makes it difficult to release objects, or to perform operations that require sliding. To solve this issue, we previously developed a…

Robotics · Computer Science 2022-11-11 Seita Nojiri , Akihiko Yamaguchi , Yosuke Suzuki , Tokuo Tsuji , Tetsuyou Watanabe

Reliable robotic grasping, especially with deformable objects such as fruits, remains a challenging task due to underactuated contact interactions with a gripper, unknown object dynamics and geometries. In this study, we propose a…

Robotics · Computer Science 2023-07-25 Yunhai Han , Kelin Yu , Rahul Batra , Nathan Boyd , Chaitanya Mehta , Tuo Zhao , Yu She , Seth Hutchinson , Ye Zhao

Robots benefit from being able to classify objects they interact with or manipulate based on their material properties. This capability ensures fine manipulation of complex objects through proper grasp pose and force selection. Prior work…

Robotics · Computer Science 2022-07-05 Nathaniel Hanson , Tarik Kelestemur , Deniz Erdogmus , Taskin Padir

This paper presents a novel industrial robotic gripper with a high grasping speed (maximum: 1396 mm/s), high tip force (maximum: 80 N) for grasping, large motion range, and lightweight design (0.3 kg). To realize these features, the…

Robotics · Computer Science 2023-10-27 Toshihiro Nishimura , Takeshi Takaki , Yosuke Suzuki , Tokuo Tsuji , Tetsuyou Watanabe

In this paper, we present asymmetric pivot manipulation for picking up rigid hollow objects to achieve a hole grasp. The pivot motion, executed by a position-controlled robotic arm, enables the gripper to effectively grasp hollow objects…

Robotics · Computer Science 2025-04-09 Jinseong Park , Jeong-Jung Kim , Doo-Yeol Koh

Liquids and granular media are pervasive throughout human environments, yet remain particularly challenging for robots to sense and manipulate precisely. In this work, we present a systematic approach at integrating capacitive sensing…

Manipulation of objects within a robot's hand is one of the most important challenges in achieving robot dexterity. The "Roller Graspers" refers to a family of non-anthropomorphic hands utilizing motorized, rolling fingertips to achieve…

We investigate the dynamic evolution of jamming in granular media through fluctuations in the granular drag force. The successive collapse and formation of jammed states give a stick-slip nature to the fluctuations which is independent of…

Disordered Systems and Neural Networks · Physics 2009-10-31 I. Albert , P. Tegzes , B. Kahng , R. Albert , J. G. Sample , M. Pfeifer , A. -L. Barabasi , T. Vicsek , P. Schiffer

Although wheeled robots have been predominant for planetary exploration, their geometry limits their capabilities when traveling over steep slopes, through rocky terrains, and in microgravity. Legged robots equipped with grippers are a…

Modern humanoid robots have shown their promising potential for executing various tasks involving the grasping and manipulation of objects using their end-effectors. Nevertheless, in the most of the cases, the grasping and manipulation…