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Grasping deformable objects with varying stiffness remains a significant challenge in robotics. Estimating the local stiffness of a target object is important for determining an optimal grasp pose that enables stable pickup without damaging…

Robotics · Computer Science 2026-03-31 Ngoc Duy Tran , Yeman Fan , Feng Dai , Khang Nguyen , Anh Nguyen , Hoang Hiep Ly , Tung D. Ta , Shigeru Chiba

Although the multi-jointed underactuated manipulator is highly dexterous, its grasping capacity does not match that of the parallel jaw gripper. This work introduces a fractal gripper to enhance the grasping capacity of multi-joint…

Robotics · Computer Science 2024-02-27 Jiaxin Huang , Jian Shen , Yilin Zheng , Zhigong Song

Soft pneumatic actuators enable safe human-machine interaction with lightweight and powerful applied parts. On the other side, they suffer design limitations as regards complex actuation patterns, including minimum bending radii,…

Robotics · Computer Science 2026-03-02 Rui Chen , Daniele Leonardis , Domenico Chiaradia , Antonio Frisoli

Grip surfaces with tunable friction can actively modify contact conditions, enabling transitions between higher- and lower-friction states for grasp adjustment. Friction can be increased to grip securely and then decreased to gently release…

Robotics · Computer Science 2025-06-24 Katherine Allison , Jonathan Kelly , Benjamin Hatton

Grasping, in both biological and engineered mechanisms, can be highly sensitive to the gripper and object morphology, as well as perception, and motion planning. Here we circumvent the need for feedback or precise planning by using an array…

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

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 paper presents a soft robot finger capable of adaptive-twist deformation to grasp objects by wrapping them. For a soft hand to grasp and pick-up one object from densely contained multiple objects, a soft finger requires the…

Robotics · Computer Science 2025-10-29 Hiroki Ishikawa , Kyosuke Ishibashi , Ko Yamamoto

Grasping objects across vastly different sizes and physical states-including both solids and liquids-with a single robotic gripper remains a fundamental challenge in soft robotics. We present the Everything-Grasping (EG) Gripper, a soft…

Recently, magnetorheological elastomers have become an interesting smart material with many new designs for robotics. A variety of applications have been built with magnetorheological elastomers, such as vibration absorbers, actuators, or…

Systems and Control · Electrical Eng. & Systems 2026-04-02 Jakub Bernat , Pawel Czopek , Paulina Superczynska , Piotr Gajewski , Agnieszka Marcinkowska

Granular jamming has recently become popular in soft robotics with widespread applications including industrial gripping, surgical robotics and haptics. Previous work has investigated the use of various techniques that exploit the nature of…

Robotics · Computer Science 2022-12-14 Cameron Coombe , James Brett , Raghav Mishra , Gary W. Delaney , David Howard

This paper is a summary of the recently accomplished research work on flexible gripping systems. The goal is to develop a gripper which can be used for a great amount of geometrically variant workpieces. The economic aspect is of particular…

Robotics · Computer Science 2007-05-23 Michael Sdahl , Bernd Kuhlenkoetter

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

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…

Robotics · Computer Science 2026-03-12 Sergi Foix , Jaume Oriol , Carme Torras , Júlia Borràs

Robot grasping is subject to an inherent tradeoff: Grippers with a large span typically take a longer time to close, and fast grippers usually cover a small span. However, many practical applications of soft grippers require the ability to…

Robotics · Computer Science 2023-10-03 Zechen Xiong , Zihan Guo , Li Yuan , Yufeng Su , Yitong Liu , Hod Lipson

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…

This paper introduces GAgent: an Gripping Agent designed for open-world environments that provides advanced cognitive abilities via VLM agents and flexible grasping abilities with variable stiffness soft grippers. GAgent comprises three…

Robotics · Computer Science 2024-03-19 Zhuowei Li , Miao Zhang , Xiaotian Lin , Meng Yin , Shuai Lu , Xueqian Wang

Granular grippers can manipulate a wide variety of objects, but need to be pressed on the object to conform to it. If the object is placed on unstable ground, e.g., on sand or water, this step might cause the object to sink or move away…

Soft Condensed Matter · Physics 2024-04-25 Angel Santarossa , Olfa D'Angelo , Achim Sack , Thorsten Pöschel

Grasping using an aerial robot can have many applications ranging from infrastructure inspection and maintenance to precise agriculture. However, aerial grasping is a challenging problem since the robot has to maintain an accurate position…

Robotics · Computer Science 2023-11-03 Rishabh Dev Yadav , Brycen Jones , Saksham Gupta , Amitabh Sharma , Jiefeng Sun , Jianguo Zhao , Spandan Roy

Granular jamming has been identified as a fundamental mechanism for the operation of robotic grippers. In this work, we show, that soft particles like expanded polystyrene beads lead to significantly larger gripping forces in comparison to…

Soft Condensed Matter · Physics 2022-01-11 Holger Götz , Angel Santarossa , Achim Sack , Thorsten Pöschel , Patric Müller