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Related papers: Control and implementation of fluid-driven soft gr…

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In this project, we focus on human-robot interaction in caregiving scenarios like bathing, where physical contact is inevitable and necessary for proper task execution because force must be applied to the skin. Using finite element…

Robotic grippers are widely used in industries for handling objects. This paper presents the procedure of design and fabrication of a stepper motor controlled robotic gripper to be used in industries for handling small objects. The gripper…

Robotics · Computer Science 2021-05-25 Ramish , Farah Kanwal , Siraj Ali , Nida Ali

Autonomous grasping remains challenging as unlike humans, robots do not possess a sophisticated sensing nor delicate interaction capability with the real environment. Among other efforts that tried to close the gap between them,…

Robotics · Computer Science 2022-03-10 Tai Hoang

Compliant and soft hands have gained a lot of attention in the past decade because of their ability to adapt to the shape of the objects, increasing their effectiveness for grasping. However, when it comes to grasping highly flexible…

Robotics · Computer Science 2020-04-10 Júlia Borràs , Guillem Alenya , Carme Torras

Recently, suction-based robotic systems with microscopic features or active suction components have been proposed to grip rough and irregular surfaces. However, sophisticated fabrication methods or complex control systems are required for…

Applied Physics · Physics 2021-07-19 Sukho Song , Dirk-Michael Drotlef , Donghoon Son , Anastasia Koivikko , Metin Sitti

External collisions to robot actuators typically pose risks to grasping circular objects. This work presents a vision-based sensing module capable of detecting collisions to maintain stable grasping with a soft gripper system. The system…

Robotics · Computer Science 2025-08-08 Boyang Zhang , Jiahui Zuo , Zeyu Duan , Fumin Zhang

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

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

Compared to traditional rigid robotics, soft robotics has attracted increasing attention due to its advantages as compliance, safety, and low cost. As an essential part of soft robotics, the soft robotic gripper also shows its superior…

Robotics · Computer Science 2021-12-30 Xing Wang , Hanwen Kang , Hongyu Zhou , Wesley Au , Chao Chen

Soft robotics gripper have shown great promise in handling fragile and geometrically complex objects. However, most existing solutions rely on bulky actuators, complex control strategies, or advanced tactile sensing to achieve stable and…

Robotics · Computer Science 2025-11-04 Peiyi Wang , Paul A. M. Lefeuvre , Shangwei Zou , Zhenwei Ni , Daniela Rus , Cecilia Laschi

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

Controlling soft continuum manipulator arms is difficult due to their infinite degrees of freedom, nonlinear material properties, and large deflections under loading. This paper presents a data-driven approach to identifying soft…

Robotics · Computer Science 2020-02-05 Daniel Bruder , Xun Fu , R. Brent Gillespie , C. David Remy , Ram Vasudevan

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

Agricultural robotics and automation are facing some challenges rooted in the high variability 9 of products, task complexity, crop quality requirement, and dense vegetation. Such a set of 10 challenges demands a more versatile and safe…

Robotics · Computer Science 2023-12-04 Ali Leylavi Shoushtari

Track systems effectively distribute loads, augmenting traction and maneuverability on unstable terrains, leveraging their expansive contact areas. This tracked locomotion capability also aids in hand manipulation of not only regular…

Robotics · Computer Science 2023-11-28 Sen Li , Fang Wan , Chaoyang Song

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, 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…

Many soft-body organisms found in nature flourish underwater. Similarly, soft robots are potentially well-suited for underwater environments partly because the problematic effects of gravity, friction, and harmonic oscillations are less…

Robotics · Computer Science 2022-12-07 W. David Null , Y Z

Soft robots have a myriad of potentials because of their intrinsically compliant bodies, enabling safe interactions with humans and adaptability to unpredictable environments. However, most of them have limited actuation speeds, require…

Inspired by widely used soft fingers on grasping, we propose a method of rigid-soft interactive learning, aiming at reducing the time of data collection. In this paper, we classify the interaction categories into Rigid-Rigid, Rigid-Soft,…

Robotics · Computer Science 2020-03-04 Linhan Yang , Fang Wan , Haokun Wang , Xiaobo Liu , Yujia Liu , Jia Pan , Chaoyang Song