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Analysis of grip force signals tailored to hand and finger movement evolution and changes in grip force control during task execution provide unprecedented functional insight into somatosensory cognition. Somatosensory cognition is the…

Neurons and Cognition · Quantitative Biology 2022-10-18 Birgitta Dresp-Langley

In this paper, we consider the problem of non-prehensile manipulation using grasped objects. This problem is a superset of many common manipulation skills including instances of tool-use (e.g., grasped spatula flipping a burger) and…

Robotics · Computer Science 2024-05-29 Miquel Oller , Dmitry Berenson , Nima Fazeli

Aerial manipulation requires force-aware capabilities to enable safe and effective grasping and physical interaction. Previous works often rely on heavy, expensive force sensors unsuitable for typical quadrotor platforms, or perform…

Robotics · Computer Science 2026-02-10 Kenghou Hoi , Yuze Wu , Annan Ding , Junjie Wang , Anke Zhao , Chengqian Zhang , Fei Gao

Novel robotic grippers have captured increasing interests recently because of their abilities to adapt to varieties of circumstances and their powerful functionalities. Differing from traditional gripper with mechanical components-made…

This study introduces i-GRIP, an innovative movement goal estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upperlimb impairments. The algorithm operates within a collaborative control…

Quantitative Methods · Quantitative Biology 2024-09-26 Etienne Moullet , François Bailly , Justin Carpentier , Christine Azevedo Coste

The verification of successful grasps is a crucial aspect of robot manipulation, particularly when handling deformable objects. Traditional methods relying on force and tactile sensors often struggle with deformable and non-rigid objects.…

Robotics · Computer Science 2025-05-07 Pau Amargant , Peter Hönig , Markus Vincze

Handheld grippers are increasingly used to collect human demonstrations due to their ease of deployment and versatility. However, most existing designs lack tactile sensing, despite the critical role of tactile feedback in precise…

Robotics · Computer Science 2025-11-13 Xinyue Zhu , Binghao Huang , Yunzhu Li

A shared grasp is a grasp formed by contacts between the manipulated object and both the robot hand and the environment. By trading off hand contacts for environmental contacts, a shared grasp requires fewer contacts with the hand, and…

Robotics · Computer Science 2020-06-05 Yifan Hou , Zhenzhong Jia , Matthew T. Mason

Bimanual grasping is essential for robots to handle large and complex objects. However, existing methods either focus solely on single-arm grasping or employ separate grasp generation and bimanual evaluation stages, leading to coordination…

Robotics · Computer Science 2026-03-18 Kangmin Kim , Seunghyeok Back , Geonhyup Lee , Sangbeom Lee , Sangjun Noh , Kyoobin Lee

Object grasping is an important ability required for various robot tasks. In particular, tasks that require precise force adjustments during operation, such as grasping an unknown object or using a grasped tool, are difficult for humans to…

Robotics · Computer Science 2024-01-22 Koki Yamane , Sho Sakaino , Toshiaki Tsuji

Grasping objects with diverse mechanical properties, such as heavy, slippery, or fragile items, remains a significant challenge in robotics. Conventional rigid grippers typically rely on increasing the normal forces to secure an object,…

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

Dexterous robotic manipulation requires more than geometrically valid grasps: it demands physically grounded contact strategies that account for the spatially non-uniform mechanical properties of the object. However, existing grasp planners…

Manipulation tasks often require a high degree of dexterity, typically necessitating grippers with multiple degrees of freedom (DoF). While a robotic hand equipped with multiple fingers can execute precise and intricate manipulation tasks,…

Robotics · Computer Science 2024-08-02 Yuhao Zhou , Pokuang Zhou , Shaoxiong Wang , Yu She

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…

Selective fruit harvesting is a challenging manipulation problem due to occlusions and clutter arising from plant foliage. A harvesting gripper should i) have a small cross-section, to avoid collisions while approaching the fruit; ii) have…

Robotics · Computer Science 2024-08-14 Alejandro Velasquez , Cindy Grimm , Joseph R. Davidson

We present an approach for safe and object-independent human-to-robot handovers using real time robotic vision and manipulation. We aim for general applicability with a generic object detector, a fast grasp selection algorithm and by using…

We present the design and implementation of a taskable reactive mobile manipulation system. In contrary to related work, we treat the arm and base degrees of freedom as a holistic structure which greatly improves the speed and fluidity of…

Robotics · Computer Science 2022-02-10 Jesse Haviland , Niko Sünderhauf , Peter Corke

Quadruped robots are increasingly used in various applications due to their high mobility and ability to operate in diverse terrains. However, most available quadruped robots are primarily focused on mobility without object manipulation…

Achieving robust grasping with dexterous hands remains challenging, especially when manipulation involves dynamic forces such as impacts, torques, and continuous resistance--situations common in real-world tool use. Existing methods largely…

Robotics · Computer Science 2026-02-25 Harsh Gupta , Mohammad Amin Mirzaee , Wenzhen Yuan
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