English
Related papers

Related papers: Tactile-Driven Non-Prehensile Object Manipulation …

200 papers

Tactile information plays a crucial role for humans and robots to interact effectively with their environment, particularly for tasks requiring the understanding of contact properties. Solving such dexterous manipulation tasks often relies…

Robotics · Computer Science 2025-09-03 Fangchen Liu , Chuanyu Li , Yihua Qin , Jing Xu , Pieter Abbeel , Rui Chen

Robotic grasp detection is a fundamental capability for intelligent manipulation in unstructured environments. Previous work mainly employed visual and tactile fusion to achieve stable grasp, while, the whole process depending heavily on…

Robotics · Computer Science 2019-09-17 Teng Xue , Wenhai Liu , Mingshuo Han , Zhenyu Pan , Jin Ma , Quanquan Shao , Weiming Wang

For humans, the process of grasping an object relies heavily on rich tactile feedback. Most recent robotic grasping work, however, has been based only on visual input, and thus cannot easily benefit from feedback after initiating contact.…

Most robotic hands and grippers rely on actuators with large gearboxes and force sensors for controlling gripping force. However, this might not be ideal for tasks that require the robot to interact with an unstructured and unknown…

Robotics · Computer Science 2024-05-30 Jay Best , Amin Fakhari

In-hand object manipulation is an important capability for dexterous manipulation. In this paper, we introduce a modeling and planning framework for in-hand object reconfiguration, focusing on frictional patch contacts between the robot's…

Robotics · Computer Science 2024-10-22 An Dang , James Lorenz , Xili Yi , Nima Fazeli

Grasping objects whose physical properties are unknown is still a great challenge in robotics. Most solutions rely entirely on visual data to plan the best grasping strategy. However, to match human abilities and be able to reliably pick…

Robotics · Computer Science 2021-09-24 Pietro Griffa , Carmelo Sferrazza , Raffaello D'Andrea

Most robotic hands and grippers rely on actuators with large gearboxes and force sensors for controlling gripping force. However, this might not be ideal for tasks which require the robot to interact with an unstructured and/or unknown…

Robotics · Computer Science 2023-08-22 Jay Best

Tactile information plays a critical role in human dexterity. It reveals useful contact information that may not be inferred directly from vision. In fact, humans can even perform in-hand dexterous manipulation without using vision. Can we…

Robotics · Computer Science 2023-03-28 Zhao-Heng Yin , Binghao Huang , Yuzhe Qin , Qifeng Chen , Xiaolong Wang

Recent studies on quadruped robots have focused on either locomotion or mobile manipulation using a robotic arm. Legged robots can manipulate heavier and larger objects using non-prehensile manipulation primitives, such as planar pushing,…

Robotics · Computer Science 2022-10-10 Alberto Rigo , Yiyu Chen , Satyandra K. Gupta , Quan Nguyen

Human hands possess the dexterity to interact with diverse objects such as grasping specific parts of the objects and/or approaching them from desired directions. More importantly, humans can grasp objects of any shape without…

Robotics · Computer Science 2024-07-15 Hui Zhang , Sammy Christen , Zicong Fan , Otmar Hilliges , Jie Song

In this paper we propose a novel method for in-hand object recognition. The method is composed of a grasp stabilization controller and two exploratory behaviours to capture the shape and the softness of an object. Grasp stabilization plays…

Robotics · Computer Science 2021-06-30 Massimo Regoli , Nawid Jamali , Giorgio Metta , Lorenzo Natale

Robotic in-hand manipulation has been a long-standing challenge due to the complexity of modelling hand and object in contact and of coordinating finger motion for complex manipulation sequences. To address these challenges, the majority of…

Robotics · Computer Science 2019-10-25 Tingguang Li , Krishnan Srinivasan , Max Qing-Hu Meng , Wenzhen Yuan , Jeannette Bohg

We consider the problem of grasping deformable objects with soft shells using a robotic gripper. Such objects have a center-of-mass that changes dynamically and are fragile so prone to burst. Thus, it is difficult for robots to generate…

Robotics · Computer Science 2025-10-14 Yonghyun Lee , Sungeun Hong , Min-gu Kim , Gyeonghwan Kim , Changjoo Nam

Object recognition is an essential capability when performing various tasks. Humans naturally use either or both visual and tactile perception to extract object class and properties. Typical approaches for robots, however, require complex…

Robotics · Computer Science 2024-01-18 Avishai Sintov , Inbar Ben-David

In complex scenarios where typical pick-and-place techniques are insufficient, often non-prehensile manipulation can ensure that a robot is able to fulfill its task. However, non-prehensile manipulation is challenging due to its…

Robotics · Computer Science 2025-08-04 Nils Dengler , Juan Del Aguila Ferrandis , João Moura , Sethu Vijayakumar , Maren Bennewitz

We present a holistic grasping controller, combining free-space position control and in-contact force-control for reliable grasping given uncertain object pose estimates. Employing tactile fingertip sensors, undesired object displacement…

Robotics · Computer Science 2023-11-14 Luca Lach , Séverin Lemaignan , Francesco Ferro , Helge Ritter , Robert Haschke

A particular type of assistive robots designed for physical interaction with objects could play an important role assisting with mobility and fall prevention in healthcare facilities. Autonomous mobile manipulation presents a hurdle prior…

Robotics · Computer Science 2020-11-12 Roya Sabbagh Novin , Amir Yazdani , Andrew Merryweather , Tucker Hermans

Extrinsic manipulation, the use of environment contacts to achieve manipulation objectives, enables strategies that are otherwise impossible with a parallel jaw gripper. However, orchestrating a long-horizon sequence of contact interactions…

Robotics · Computer Science 2024-04-12 Albert Wu , Ruocheng Wang , Sirui Chen , Clemens Eppner , C. Karen Liu

Constraining contacts to remain fixed on an object during manipulation limits the potential workspace size, as motion is subject to the hand's kinematic topology. Finger gaiting is one way to alleviate such restraints. It allows contacts to…

Robotics · Computer Science 2022-03-04 Andrew S. Morgan , Kaiyu Hang , Bowen Wen , Kostas Bekris , Aaron M. Dollar

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