A Heuristic Framework for Path Planning the Largest Volume Object from a Start to Goal Conﬁguration

Evan Shellshear; Robert Bohlin

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

A Heuristic Framework for Path Planning the Largest Volume Object from a Start to Goal Conﬁguration

Topics: Engineering Applications; Industrial Networks and Automation; Optimization Algorithms

In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, 264-271, 2014 , Vienna, Austria

Authors: Evan Shellshear and Robert Bohlin

Affiliation: Fraunhofer Chalmers Centre, Sweden

Keyword(s): Path Planning, Heuristic, Largest Volume.

Related Ontology Subjects/Areas/Topics: Engineering Applications ; Industrial Networks and Automation ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: In this article we present a heuristic algorithm to compute the largest volume of an object in three dimensions that can move collision-free from a start conﬁguration to a goal conﬁguration through a virtual environment. The results presented here provide industrial designers with a framework to reduce the number of design iterations when designing parts to be placed in tight spaces.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.17.179.132

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Shellshear, E. and Bohlin, R. (2014). A Heuristic Framework for Path Planning the Largest Volume Object from a Start to Goal Conﬁguration. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-040-6; ISSN 2184-2809, SciTePress, pages 264-271. DOI: 10.5220/0005002102640271

@conference{icinco14,
author={Evan Shellshear. and Robert Bohlin.},
title={A Heuristic Framework for Path Planning the Largest Volume Object from a Start to Goal Conﬁguration},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2014},
pages={264-271},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005002102640271},
isbn={978-989-758-040-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A Heuristic Framework for Path Planning the Largest Volume Object from a Start to Goal Conﬁguration
SN - 978-989-758-040-6
IS - 2184-2809
AU - Shellshear, E.
AU - Bohlin, R.
PY - 2014
SP - 264
EP - 271
DO - 10.5220/0005002102640271
PB - SciTePress