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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

Picking diverse objects in the real world is a fundamental robotics skill. However, many objects in such settings are bulky, heavy, or irregularly shaped, making them ungraspable by conventional end effectors like suction grippers and…

Robotics · Computer Science 2024-09-25 Albert Wu , Dan Kruse

Non-prehensile manipulation methods usually use a simple end effector, e.g., a single rod, to manipulate the object. Compared to the grasping method, such an end effector is compact and flexible, and hence it can perform tasks in a…

Robotics · Computer Science 2023-03-08 Yongpeng Jiang , Yongyi Jia , Xiang Li

Objects with large base areas become ungraspable when they exceed the end-effector's maximum aperture. Existing approaches address this limitation through extrinsic dexterity, which exploits environmental features for non-prehensile…

Robotics · Computer Science 2025-04-01 Yuhan Wang , Yu Li , Yaodong Yang , Yuanpei Chen

This paper develops a mechanical tool as well as its manipulation policies for 2-finger parallel robotic grippers. It primarily focuses on a mechanism that converts the gripping motion of 2-finger parallel grippers into a continuous…

Robotics · Computer Science 2021-08-10 Zhengtao Hu , Weiwei Wan , Keisuke Koyama , Kensuke Harada

Dexterous hands enable concurrent prehensile and nonprehensile manipulation, such as holding one object while interacting with another, a capability essential for everyday tasks yet underexplored in robotics. Learning such long-horizon,…

Robotics · Computer Science 2026-03-17 Hao Jiang , Yue Wu , Yue Wang , Gaurav S. Sukhatme , Daniel Seita

This work designs a mechanical tool for robots with 2-finger parallel grippers, which extends the function of the robotic gripper without additional requirements on tool exchangers or other actuators. The fundamental kinematic structure of…

Robotics · Computer Science 2019-06-25 Zhengtao Hu , Weiwei Wan , Kensuke Harada

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

Robotic grasp and manipulation taxonomies, inspired by observing human manipulation strategies, can provide key guidance for tasks ranging from robotic gripper design to the development of manipulation algorithms. The existing grasp and…

Robotics · Computer Science 2024-12-31 David Blanco-Mulero , Yifei Dong , Julia Borras , Florian T. Pokorny , Carme Torras

This paper develops model-based grasp planning algorithms for assembly tasks. It focuses on industrial end-effectors like grippers and suction cups, and plans grasp configurations considering CAD models of target objects. The developed…

Robotics · Computer Science 2019-03-06 Weiwei Wan , Kensuke Harada , Fumio Kanehiro

Aerial manipulation has recently attracted increasing interest from both industry and academia. Previous approaches have demonstrated success in various specific tasks. However, their hardware design and control frameworks are often tightly…

This work explores the use of topological tools for achieving effective non-prehensile manipulation in cluttered, constrained workspaces. In particular, it proposes the use of persistent homology as a guiding principle in identifying the…

Robotics · Computer Science 2022-02-08 Ewerton R. Vieira , Daniel Nakhimovich , Kai Gao , Rui Wang , Jingjin Yu , Kostas E. Bekris

Sliding tasks performed by aerial robots are valuable for inspection and simple maintenance tasks at height, such as non-destructive testing and painting. Although various end-effector designs have been used for such tasks, non-actuated…

The ability to wield tools was once considered exclusive to human intelligence, but it's now known that many other animals, like crows, possess this capability. Yet, robotic systems still fall short of matching biological dexterity. In this…

Robotics · Computer Science 2026-01-12 Hoi-Yin Lee , Peng Zhou , Anqing Duan , Wanyu Ma , Chenguang Yang , David Navarro-Alarcon

Robotic manipulation with two-finger grippers is challenged by objects lacking distinct graspable features. Traditional pre-grasping methods, which typically involve repositioning objects or utilizing external aids like table edges, are…

In robotics, an end effector is a device at the end of a robotic arm that is designed to physically interact with objects in the environment or with the environment itself. Effectively, it serves as the hand of the robot, carrying out tasks…

Robotics · Computer Science 2023-06-13 Josephine Galipon , Shoya Shimizu , Kenjiro Tadakuma

The 3D shape of a robot's end-effector plays a critical role in determining it's functionality and overall performance. Many industrial applications rely on task-specific gripper designs to ensure the system's robustness and accuracy.…

Robotics · Computer Science 2020-11-13 Huy Ha , Shubham Agrawal , Shuran Song

Bimanual robot manipulators can achieve impressive dexterity, but typically rely on two full six- or seven- degree-of-freedom arms so that paired grippers can coordinate effectively. This traditional framework increases system complexity…

The development of robotic grippers is driven by the need to execute particular manual tasks or meet specific objectives in handling operations. Grippers with specific functions vary from being small, accurate and highly controllable such…

We propose the Dexterous Manipulation Graph as a tool to address in-hand manipulation and reposition an object inside a robot's end-effector. This graph is used to plan a sequence of manipulation primitives so to bring the object to the…

Robotics · Computer Science 2018-03-02 Silvia Cruciani , Christian Smith , Danica Kragic , Kaiyu Hang
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