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Leveraging human grasping skills to teach a robot to perform a manipulation task is appealing, but there are several limitations to this approach: time-inefficient data capture procedures, limited generalization of the data to other grasps…

Human-Computer Interaction · Computer Science 2016-07-13 Brendon John , Jackson Carter , Javier Ruiz , Sai Krishna Allani , Saurabh Dixit , Cindy M. Grimm , Ravi Balasubramanian

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

In this paper we explore state-of-the-art underactuated, compliant robot gripper designs through looking at their performance on a generic grasping task. Starting from a state of the art open gripper design, we propose design…

Robotics · Computer Science 2016-01-19 Eduardo Ruiz , Walterio Mayol-Cuevas

Humans excel in grasping and manipulating objects because of their life-long experience and knowledge about the 3D shape and weight distribution of objects. However, the lack of such intuition in robots makes robotic grasping an…

Computer Vision and Pattern Recognition · Computer Science 2018-11-05 Ghazal Ghazaei , Iro Laina , Christian Rupprecht , Federico Tombari , Nassir Navab , Kianoush Nazarpour

In-hand manipulation and grasping are fundamental yet often separately addressed tasks in robotics. For deriving in-hand manipulation policies, reinforcement learning has recently shown great success. However, the derived controllers are…

Robotics · Computer Science 2025-09-16 Lennart Röstel , Dominik Winkelbauer , Johannes Pitz , Leon Sievers , Berthold Bäuml

This article presents a new hand architecture with three under-actuated fingers. Each finger performs spatial movements to achieve more complex and varied grasping than the existing planar-movement fingers. The purpose of this hand is to…

Robotics · Computer Science 2021-06-18 Pol Hamon , Damien Chablat , Franck Plestan

Teleoperation is often limited by the ability of an operator to react and predict the behavior of the robot as it interacts with the environment. For example, to grasp small objects on a table, the teleoperator needs to predict the position…

Robotics · Computer Science 2022-05-17 Guilherme Maeda , Naoki Fukaya , Shin-ichi Maeda

One goal of dexterous robotic grasping is to allow robots to handle objects with the same level of flexibility and adaptability as humans. However, it remains a challenging task to generate an optimal grasping strategy for dexterous hands,…

Robotics · Computer Science 2024-05-17 Fuqiang Zhao , Dzmitry Tsetserukou , Qian Liu

This letter proposes a novel single-fingered reconfigurable robotic gripper for grasping objects in narrow working spaces. The finger of the developed gripper realizes two configurations, namely, the insertion and grasping modes, using only…

Re-grasp manipulation leverages on ergonomic tools to assist humans in accomplishing diverse tasks. In certain scenarios, humans often employ external forces to effortlessly and precisely re-grasp tools like a hammer. Previous development…

Robotics · Computer Science 2023-09-28 Dehao Wei , Guokang Sun , Zeyu Ren , Shuang Li , Zhufeng Shao , Xiang Li , Nikos Tsagarakis , Shaohua Ma

Robotic manipulators are increasingly used to assist individuals with mobility impairments in object retrieval. However, the predominant joystick-based control interfaces can be challenging due to high precision requirements and unintuitive…

Robotics · Computer Science 2025-10-28 Zitiantao Lin , Yongpeng Sang , Yang Ye

In complex manipulation tasks, e.g., manipulation by pivoting, the motion of the object being manipulated has to satisfy path constraints that can change during the motion. Therefore, a single grasp may not be sufficient for the entire…

Robotics · Computer Science 2025-01-31 Aditya Patankar , Dasharadhan Mahalingam , Nilanjan Chakraborty

This paper introduces a novel and general method to address the problem of using a general-purpose robot manipulator with a parallel gripper to wrap a deformable linear object (DLO), called a rope, around a rigid object, called a rod,…

Robotics · Computer Science 2023-04-12 Zhaoyuan Ma , Jing Xiao

Autonomous grasping of novel objects that are previously unseen to a robot is an ongoing challenge in robotic manipulation. In the last decades, many approaches have been presented to address this problem for specific robot hands. The…

Robotics · Computer Science 2022-07-01 Kelin Li , Nicholas Baron , Xian Zhang , Nicolas Rojas

Human-robot handover is a fundamental yet challenging task in human-robot interaction and collaboration. Recently, remarkable progressions have been made in human-to-robot handovers of unknown objects by using learning-based grasp…

This letter presents a novel small gripper capable of grasping various types of small-sized items from flat surfaces for the assembly of small devices. Using a single actuator, the proposed gripper realizes two grasping modes: parallel-grip…

Robotics · Computer Science 2021-06-21 Tetsuyou Watanabe , Kota Morino , Yoshitatsu Asama , Seiji Nishitani , Ryo Toshima

This paper proposes a new framework to design a controller for the dexterous manipulation of an object by a multi-fingered hand. To achieve a robust manipulation and wide range of operations, the uncertainties on the location of the contact…

Robotics · Computer Science 2024-07-17 Berk Altiner , Adnane Saoud , Alex Caldas , Maria Makarov

This paper proposes a novel robotic hand design for assembly tasks. The idea is to combine two simple grippers -- an inner gripper which is used for precise alignment, and an outer gripper which is used for stable holding. Conventional…

Robotics · Computer Science 2018-09-13 Kaidi Nie , Weiwei Wan , Kensuke Harada

Grasping is the dominant approach for robot manipulation, but only a single object can be grasped at a time. Nonprehensile manipulation offers richer set of interactions, however state-of-the-art is limited to using the end-effector only.…

Robotics · Computer Science 2019-06-18 Akansel Cosgun , Luke Ditria , Shayne D'Lima , Tom Drummond

In this work, we address a challenging problem of fine-grained and coarse-grained recognition of object manipulation actions. Due to the variations in geometrical and motion constraints, there are different manipulations actions possible to…

Computer Vision and Pattern Recognition · Computer Science 2018-06-21 Kartik Gupta , Darius Burschka , Arnav Bhavsar
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