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We present a proprioceptive teleoperation system that uses a reflexive grasping algorithm to enhance the speed and robustness of pick-and-place tasks. The system consists of two manipulators that use quasi-direct-drive actuation to provide…

Robotics · Computer Science 2022-08-10 Andrew SaLoutos , Elijah Stanger-Jones , Sangbae Kim

Grasping objects with diverse mechanical properties, such as heavy, slippery, or fragile items, remains a significant challenge in robotics. Conventional grippers often rely on applying high normal forces, which can cause damage to objects.…

Dexterous in-hand manipulation offers significant potential to enhance robotic manipulator capabilities. This paper presents a sensori-motor architecture for in-hand slip-aware control, being embodied in a sensorized gripper. The gripper in…

Robotics · Computer Science 2025-11-24 Gabriel Arslan Waltersson , Yiannis Karayiannidis

Realizing high-performance soft robotic grippers is challenging because of the inherent limitations of the soft actuators and artificial muscles that drive them, including low force output, small actuation range, and poor compactness.…

Robotics · Computer Science 2022-09-26 David Bombara , Revanth Konda , Steven Swanbeck , Jun Zhang

This paper introduces a pair of low-cost, light-weight and compliant force-sensing gripping pads used for manipulating box-like objects with smaller-sized humanoid robots. These pads measure normal gripping forces and center of pressure…

Robotics · Computer Science 2024-06-03 Yuanfeng Han , Boren Jiang , Gregory S. Chirikjian

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

Modern robotic manipulation systems fall short of human manipulation skills partly because they rely on closing feedback loops exclusively around vision data, which reduces system bandwidth and speed. By developing autonomous grasping…

Robotics · Computer Science 2023-03-08 Andrew SaLoutos , Hongmin Kim , Elijah Stanger-Jones , Menglong Guo , Sangbae Kim

Gripping and holding of objects are key tasks for robotic manipulators. The development of universal grippers able to pick up unfamiliar objects of widely varying shape and surface properties remains, however, challenging. Most current…

During the execution of handling processes in manufacturing, it is difficult to measure the process forces with state-of-the-art gripper systems since they usually lack integrated sensors. Thus, the exact state of the gripped object and the…

Robotics · Computer Science 2024-10-01 S. Wucherer , R. McMurray , K. Y. Ng , F. Kerber

This paper presents a novel cable-driven gripper with perception capabilities for autonomous harvesting of strawberries. Experiments show that the gripper allows for more accurate and faster picking of strawberries compared to existing…

Robotics · Computer Science 2018-04-27 Ya Xiong , Pal Johan From , Volkan Isler

This work designs a mechanical tool for robots with 2-finger parallel grippers, which extends the function of the robotic gripper without additional requirements on tool exchangers or other actuators. The fundamental kinematic structure of…

Robotics · Computer Science 2019-06-25 Zhengtao Hu , Weiwei Wan , Kensuke Harada

Applying suction grippers in unstructured environments is a challenging task because of depth and tilt errors in vision systems, requiring additional costs in elaborate sensing and control. To reduce additional costs, suction grippers with…

Robotics · Computer Science 2022-11-30 Yuna Yoo , Jaemin Eom , Min Jo Park , Kyu-Jin Cho

The ability of robotic grippers to not only grasp but also re-position and re-orient objects in-hand is crucial for achieving versatile, general-purpose manipulation. While recent advances in soft robotic grasping has greatly improved grasp…

Grasp force estimation can help prevent robots from damaging delicate objects during manipulation and improve learning-based robotic control. Integrating force sensing into deformable grippers negotiates trade-offs in cost, complexity,…

Robotics · Computer Science 2026-05-04 Kaiwen Zuo , Shuyuan Yang , Zonghe Chua

The human hand has an inherent ability to manipulate and re-orientate objects without external assistance. As a consequence, we are able to operate tools and perform an array of actions using just one hand, without having to continuously…

Robotics · Computer Science 2023-07-26 Thomas Mack , Ketao Zhang , Kaspar Althoefer

Autonomous grasping of novel objects that are previously unseen to a robot is an ongoing challenge in robotic manipulation. In the last decades, many approaches have been presented to address this problem for specific robot hands. The…

Robotics · Computer Science 2022-07-01 Kelin Li , Nicholas Baron , Xian Zhang , Nicolas Rojas

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

Multi-degree of freedom robots are playing very important role in different applications of automation. They are providing much more accuracy in carrying out a typical procedure as compared to the manual work done by human. In recent years…

Robotics · Computer Science 2020-12-29 Param Kothari

Robot arms that assist humans should be able to pick up, move, and release everyday objects. Today's assistive robot arms use rigid grippers to pinch items between fingers; while these rigid grippers are well suited for large and heavy…

Robotics · Computer Science 2022-10-31 Shaunak A. Mehta , Yeunhee Kim , Joshua Hoegerman , Michael D. Bartlett , Dylan P. Losey

Performing a grasp is a pivotal capability for a robotic gripper. We propose a new evaluation approach of grasping stability via constructing a model of grasping stiffness based on the theory of contact mechanics. First, the mathematical…

Robotics · Computer Science 2018-10-22 Huixu Dong , Chen Qiu , Dilip K. Prasad , Ye Pan , Jiansheng Dai , I-Ming Chen