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Manipulation of objects by exploiting their contact with the environment can enhance both the dexterity and payload capability of robotic manipulators. A common way to manipulate heavy objects beyond the payload capability of a robot is to…

机器人学 · 计算机科学 2021-04-27 Amin Fakhari , Aditya Patankar , Nilanjan Chakraborty

This paper develops intelligent algorithms for robots to reorient objects. Given the initial and goal poses of an object, the proposed algorithms plan a sequence of robot poses and grasp configurations that reorient the object from its…

机器人学 · 计算机科学 2017-05-29 Weiwei Wan , Kensuke Harada

In this work, we present a manipulation planning algorithm for a robot to keep an object stable under changing external forces. We particularly focus on the case where a human may be applying forceful operations, e.g. cutting or drilling,…

机器人学 · 计算机科学 2018-07-31 Lipeng Chen , Luis F. C. Figueredo , Mehmet Dogar

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,…

机器人学 · 计算机科学 2023-07-13 Peng Xu , Zhiyuan Chen , Jiankun Wang , Max Q. -H. Meng

This paper presents a manipulation planning algorithm for robots to reorient objects. It automatically finds a sequence of robot motion that manipulates and prepares an object for specific tasks. Examples of the preparatory manipulation…

机器人学 · 计算机科学 2018-12-11 Weiwei Wan , Kensuke Harada , Fumio Kanehiro

Manipulation planning and control are relevant building blocks of a robotic system and their tight integration is a key factor to improve robot autonomy and allows robots to perform manipulation tasks of increasing complexity, such as those…

This paper presents a hierarchical framework for planning and control of in-hand manipulation of a rigid object involving grasp changes using fully-actuated multifingered robotic hands. While the framework can be applied to the general…

机器人学 · 计算机科学 2022-09-22 Rana Soltani Zarrin , Katsu Yamane , Rianna Jitosho

Nowadays, a number of grasping algorithms have been proposed, that can predict a candidate of grasp poses, even for unseen objects. This enables a robotic manipulator to pick-and-place such objects. However, some of the predicted grasp…

机器人学 · 计算机科学 2023-09-28 Jiaming Hu , Zhao Tang , Henrik I. Christensen

When performing manipulation-based activities such as picking objects, a mobile robot needs to position its base at a location that supports successful execution. To address this problem, prominent approaches typically rely on costly grasp…

机器人学 · 计算机科学 2024-05-28 Manish Saini , Melvin Paul Jacob , Minh Nguyen , Nico Hochgeschwender

During complex object manipulation, manipulator systems often face the configuration disconnectivity problem due to closed-chain constraints. Although regrasping can be adopted to get a piecewise connected manipulation, it is a challenging…

机器人学 · 计算机科学 2024-10-28 Wenhang Liu , Meng Ren , Kun Song , Michael Yu Wang , Zhenhua Xiong

In this paper, we explore whether a robot can learn to regrasp a diverse set of objects to achieve various desired grasp poses. Regrasping is needed whenever a robot's current grasp pose fails to perform desired manipulation tasks. Endowing…

机器人学 · 计算机科学 2021-11-18 Shuo Cheng , Kaichun Mo , Lin Shao

This paper explores the problem of autonomous, in-hand regrasping--the problem of moving from an initial grasp on an object to a desired grasp using the dexterity of a robot's fingers. We propose a planner for this problem which alternates…

机器人学 · 计算机科学 2018-04-13 Balakumar Sundaralingam , Tucker Hermans

Motion planning for a multi-limbed climbing robot must consider the robot's posture, joint torques, and how it uses contact forces to interact with its environment. This paper focuses on motion planning for a robot that uses nontraditional…

机器人学 · 计算机科学 2022-09-23 Stephanie Newdick , Nitin Ongole , Tony G. Chen , Edward Schmerling , Mark R. Cutkosky , Marco Pavone

Planning motions to grasp an object in cluttered and uncertain environments is a challenging task, particularly when a collision-free trajectory does not exist and objects obstructing the way are required to be carefully grasped and moved…

机器人学 · 计算机科学 2017-11-28 Muhayyuddin , Mark Moll , Lydia Kavraki , Jan Rosell

This thesis is concerned with deriving planning algorithms for robot manipulators. Manipulation has two effects, the robot has a physical effect on the object, and it also acquires information about the object. This thesis presents…

机器人学 · 计算机科学 2022-01-20 Claudio Zito

Planning dual-arm assembly of more than three objects is a challenging Task and Motion Planning (TAMP) problem. The assembly planner shall consider not only the pose constraints of objects and robots, but also the gravitational constraints…

机器人学 · 计算机科学 2019-03-05 Ryota Moriyama , Weiwei Wan , Kensuke Harada

We address the problem of motion planning for a robotic manipulator with the task to place a grasped object in a cluttered environment. In this task, we need to locate a collision-free pose for the object that a) facilitates the stable…

机器人学 · 计算机科学 2019-07-08 Joshua A. Haustein , Kaiyu Hang , Johannes Stork , Danica Kragic

In robot manipulation, planning the motion of a robot manipulator to grasp an object is a fundamental problem. A manipulation planner needs to generate a trajectory of the manipulator arm to avoid obstacles in the environment and plan an…

机器人学 · 计算机科学 2021-01-14 Lirui Wang , Yu Xiang , Dieter Fox

We present a multi-robot task and motion planning method that, when applied to the rearrangement of objects by manipulators, results in solution times up to three orders of magnitude faster than existing methods and successfully plans for…

机器人学 · 计算机科学 2023-04-20 James Motes , Tan Chen , Timothy Bretl , Marco Morales , Nancy M. Amato

Robotic grasping is a fundamental skill across all domains of robot applications. There is a large body of research for grasping objects in table-top scenarios, where finding suitable grasps is the main challenge. In this work, we are…

机器人学 · 计算机科学 2025-05-13 Martin Rudorfer , Jiří Hartvich , Vojtěch Vonásek
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