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Related papers: Passive Reaction Analysis for Grasp Stability

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Grasping an unknown object is difficult for robot hands. When the characteristics of the object are unknown, knowing how to plan the speed at and width to which the fingers are narrowed is difficult. In this paper, we propose a method to…

Robotics · Computer Science 2024-10-23 Shunsuke Tokiwa , Hikaru Arita , Yosuke Suzuki , Kenji Tahara

Grasping compliant objects is difficult for robots - applying too little force may cause the grasp to fail, while too much force may lead to object damage. A robot needs to apply the right amount of force to quickly and confidently grasp…

Robotics · Computer Science 2024-01-17 Maceon Knopke , Liguo Zhu , Peter Corke , Fangyi Zhang

Robotic failure is all too common in unstructured robot tasks. Despite well-designed controllers, robots often fail due to unexpected events. How do robots measure unexpected events? Many do not. Most robots are driven by the sense-plan act…

The flexible under-actuated musculoskeletal hand is superior in its adaptability and impact resistance. On the other hand, since the relationship between sensors and actuators cannot be uniquely determined, almost all its controls are based…

The intricate kinematics of the human hand enable simultaneous grasping and manipulation of multiple objects, essential for tasks such as object transfer and in-hand manipulation. Despite its significance, the domain of robotic multi-object…

Robotics · Computer Science 2024-03-15 Yuyang Li , Bo Liu , Yiran Geng , Puhao Li , Yaodong Yang , Yixin Zhu , Tengyu Liu , Siyuan Huang

Soft robots have high adaptability and safeness which are derived from their softness, and therefore it is paid attention to use them in human society. However, the controllability of soft robots is not enough to perform dexterous behaviors…

Robotics · Computer Science 2024-08-01 Sumitaka Honji , Hikaru Arita , Kenji Tahara

In-hand manipulation using multiple dexterous fingers is a critical robotic skill that can reduce the reliance on large arm motions, thereby saving space and energy. This letter focuses on in-grasp object movement, which refers to…

Robotics · Computer Science 2025-03-24 Mingrui Yu , Yongpeng Jiang , Chen Chen , Yongyi Jia , Xiang Li

Increased effort during use of the paretic arm and hand can provoke involuntary abnormal synergy patterns and amplify stiffness effects of muscle tone for individuals after stroke, which can add difficulty for user-controlled devices to…

Robotic grasping is facing a variety of real-world uncertainties caused by non-static object states, unknown object properties, and cluttered object arrangements. The difficulty of grasping increases with the presence of more uncertainties,…

Robotics · Computer Science 2025-09-10 Hao Chen , Takuya Kiyokawa , Weiwei Wan , Kensuke Harada

We investigate in-hand rolling manipulation using a multifingered robot hand, where each finger is compliant and equipped with a tactile fingertip providing contact location and wrench information. We derive the equations of motion for…

Robotics · Computer Science 2026-03-05 Huan Weng , Yifei Chen , Kevin M. Lynch

The application of variational principles for analyzing problems in the physical sciences is widespread. Cantilever-like problems, where one end is fixed and the other end is free, have received less attention in terms of their stability…

Soft Condensed Matter · Physics 2025-05-01 Siva Prasad Chakri Dhanakoti

Robots that physically interact with their surroundings, in order to accomplish some tasks or assist humans in their activities, require to exploit contact forces in a safe and proficient manner. Impedance control is considered as a…

Robotics · Computer Science 2023-09-27 Fares J. Abu-Dakka , Matteo Saveriano

Dexterous grasping is a fundamental yet challenging skill in robotic manipulation, requiring precise interaction between robotic hands and objects. In this paper, we present $\mathcal{D(R,O)}$ Grasp, a novel framework that models the…

Robotics · Computer Science 2025-03-17 Zhenyu Wei , Zhixuan Xu , Jingxiang Guo , Yiwen Hou , Chongkai Gao , Zhehao Cai , Jiayu Luo , Lin Shao

Extrinsic manipulation, a technique that enables robots to leverage extrinsic resources for object manipulation, presents practical yet challenging scenarios. Particularly in the context of extrinsic manipulation on a supporting plane,…

Robotics · Computer Science 2023-07-13 Peng Xu , Zhiyuan Chen , Jiankun Wang , Max Q. -H. Meng

This paper presents a generalized theory which describes how applied loads are distributed within rigid bodies handled by redundantly-actuated robotic systems composed of multiple independent closed-loop kinematic chains. The theory fully…

Robotics · Computer Science 2026-03-13 Joshua Flight , Clément Gosselin

In this article, we study the problem of selecting a grasping pose on the surface of an object to be manipulated by considering three post-grasp objectives. These objectives include (i) kinematic manipulation capability, (ii) torque effort…

Robotics · Computer Science 2017-12-13 Amir M Ghalamzan E , Nikos Mavrakis , Rustam Stolkin

This work proposes a novel generative design tool for passive grippers -- robot end effectors that have no additional actuation and instead leverage the existing degrees of freedom in a robotic arm to perform grasping tasks. Passive…

Graphics · Computer Science 2023-06-07 Milin Kodnongbua , Ian Good Yu Lou , Jeffrey Lipton , Adriana Schulz

Hand synergies, or joint coordination patterns, have become an effective tool for achieving versatile robotic grasping with simple hands or planning algorithms. Here we propose a method to determine the hand synergies such that they can be…

Robotics · Computer Science 2018-08-02 Tianjian Chen , Maximilian Haas-Heger , Matei Ciocarlie

Robotic manipulation in industrial scenarios such as construction commonly faces uncertain observations in which the state of the manipulating object may not be accurately captured due to occlusions and partial observables. For example,…

Robotics · Computer Science 2025-05-23 Xiao Hu , Yang Ye

This work explores the effect of object weight on human motion and grip release during handovers to enhance the naturalness, safety, and efficiency of robot-human interactions. We introduce adaptive robotic strategies based on the analysis…

Robotics · Computer Science 2025-03-06 Parag Khanna , Mårten Björkman , Christian Smith
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