arrow
Return

Algorithms and Systems for Manipulating Multiple Objects

delete2023-02-01
delete13
PRE
AI
Z
Zherong Pan *
A
Andy Zeng
Y
Yunzhu Li
J
Jingjin Yu
K
Kris Hauser
DOI:10.1109/TRO.2022.3197013delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Robot manipulation of multiple objects is an important topic for applications including warehouse automation, service robots performing cleaning, and large-scale object sorting. Although problems can range in complexity from a few objects to large disordered piles, autonomy remains a significant technical challenge due to the high-dimensional joint configuration space of the robot and all objects, the complex dynamics of object interaction, and the ambiguity and occlusion caused by clutter. This article surveys a broad range of classical and state-of-the-art research in multiobject manipulation and categorizes them along the dimensions of tasks, perception, predictive models, and decision-making algorithms. It also covers emerging trends and open problems faced in the ongoing effort to realize robust multiobject manipulation systems in practice.
Keywords:
Robots
Task analysis
Robot kinematics
Prediction algorithms
Navigation
Grasping
Sorting
Manipulators
manufacturing automation
robot motion
robot vision systems

Journal

IEEE Transactions on Robotics cover
IEEE Transactions on Robotics
IF:
10.5
Papers:
3.3K
Citations:
2.8W

Organization

U
University of Illinois Urbana-Champaign
Scholars:
2.4W
Papers: 2.0W
Citations: 35
R
rutgers university system
Scholars:
4.1W
Papers: 3.7W
Citations: 53
University of Illinois System cover
University of Illinois System
Scholars:
6.8W
Papers: 6.2W
Citations: 644
G
Google Incorporated
Scholars:
3.5K
Papers: 1.8K
Citations: 8
researcher View more organizations