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Related papers: Acoustic Sensing for Universal Jamming Grippers

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Distributed tactile sensing remains difficult to scale over large areas: dense sensor arrays increase wiring, cost, and fragility, while many alternatives provide limited coverage or miss fast interaction dynamics. We present Sound of…

Robotics · Computer Science 2026-02-20 Xili Yi , Ying Xing , Zachary Manchester , Nima Fazeli

Shape-morphing robots have shown benefits in industrial grasping. We propose form-flexible grippers for adaptive grasping. The design is based on the hybrid jamming and suction mechanism, which deforms to handle objects that vary…

Robotics · Computer Science 2025-07-03 Huijiang Wang , Holger Kunz , Timon Adler , Fumiya Iida

The application of granular jamming in soft robotics is a recent and promising new technology offer exciting possibilities for creating higher performance robotic devices. Granular jamming is achieved via the application of a vacuum…

The ability to grasp and manipulate small objects in cluttered environments remains a significant challenge. This paper introduces a novel approach that utilizes a tactile sensor-equipped gripper with eight degrees of freedom to overcome…

Robotics · Computer Science 2023-09-01 Won Kyung Do , Bianca Aumann , Camille Chungyoun , Monroe Kennedy

The development of tactile sensing and its fusion with computer vision is expected to enhance robotic systems in handling complex tasks like deformable object manipulation. However, readily available industrial grippers typically lack…

Robotics · Computer Science 2023-06-12 Remko Proesmans , Francis wyffels

Granular jamming is a popular soft robotics technology that has seen recent widespread applications including industrial gripping, surgical robotics and haptics. However, to date the field has not fully exploited the fundamental science of…

Soft Condensed Matter · Physics 2021-09-23 Raghav Mishra , Tyson Philips , Gary W. Delaney , David Howard

In haptic object discrimination, the effect of gripper embodiment, action parameters, and sensory channels has not been systematically studied. We used two anthropomorphic hands and two 2-finger grippers to grasp two sets of deformable…

Grasping objects whose physical properties are unknown is still a great challenge in robotics. Most solutions rely entirely on visual data to plan the best grasping strategy. However, to match human abilities and be able to reliably pick…

Robotics · Computer Science 2021-09-24 Pietro Griffa , Carmelo Sferrazza , Raffaello D'Andrea

Soft robotic grippers are shown to be high effective for grasping unstructured objects with simple sensing and control strategies. However, they are still limited by their speed, sensing capabilities and actuation mechanism. Hence, their…

This work describes the development of a high-resolution tactile-sensing finger for robot grasping. This finger, inspired by previous GelSight sensing techniques, features an integration that is slimmer, more robust, and with more…

Robotics · Computer Science 2018-05-16 Elliott Donlon , Siyuan Dong , Melody Liu , Jianhua Li , Edward Adelson , Alberto Rodriguez

Biological systems, such as the octopus, exhibit masterful cross-scale manipulation by adaptively reconfiguring their entire form, a capability that remains elusive in robotics. Conventional soft grippers, while compliant, are mostly…

Robotics · Computer Science 2025-11-03 Dong Heon Han , Xiaohao Xu , Yuxi Chen , Yusheng Zhou , Xinqi Zhang , Jiaqi Wang , Daniel Bruder , Xiaonan Huang

Haptic perception is highly important for immersive teleoperation of robots, especially for accomplishing manipulation tasks. We propose a low-cost haptic sensing and rendering system, which is capable of detecting and displaying surface…

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

Tactile sensing and the manipulation of delicate objects are critical challenges in robotics. This study presents a vision-based magnetic-actuated whisker array sensor that integrates these functions. The sensor features eight whiskers…

Robotics · Computer Science 2026-03-11 Zhixian Hu , Juan Wachs , Yu She

Distinguishing the feel of smooth silk from coarse cotton is a trivial everyday task for humans. When exploring such fabrics, fingertip skin senses both spatio-temporal force patterns and texture-induced vibrations that are integrated to…

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

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

The widespread use of smart devices gives rise to both security and privacy concerns. Fingerprinting smart devices can assist in authenticating physical devices, but it can also jeopardize privacy by allowing remote identification without…

Cryptography and Security · Computer Science 2014-03-14 Anupam Das , Nikita Borisov , Matthew Caesar

Grasping is an essential capability for most robots in practical applications. Soft robotic grippers are considered as a critical part of robotic grasping and have attracted considerable attention in terms of the advantages of the high…

Robotics · Computer Science 2021-11-09 Huixu Dong , Chao-Yu Chen , Chen Qiu , Chen-Hua Yeow , Haoyong Yu

Achieving human-like dexterity in robotic grippers remains an open challenge, particularly in ensuring robust manipulation in uncertain environments. Soft robotic hands try to address this by leveraging passive compliance, a characteristic…

Robotics · Computer Science 2025-02-07 Maximilian Westermann , Marco Pontin , Leone Costi , Alessandro Albini , Perla Maiolino