Detail View

Robot Manipulator Motion Planning for Fast Path : Shortening and Higher Manipulability
Citations

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

Title
Robot Manipulator Motion Planning for Fast Path : Shortening and Higher Manipulability
DGIST Authors
Park, Kyung-JoonLee, HyuntaeKim, Kyoung-Dae
Advisor
김경대
Co-Advisor(s)
Kyung-Joon Park
Issued Date
2020
Awarded Date
2020-02
Citation
Hyuntae Lee. (2020). Robot Manipulator Motion Planning for Fast Path : Shortening and Higher Manipulability. doi: 10.22677/Theses.200000282368
Type
Thesis
Description
"Sampling-based Motion Planning", "Dynamic Roadmap", "Manipulability", "Shortcut-based Algorithm", "Parallelism"
Table Of Contents
Ⅰ. Introduction 1
II. Manipulability-aware Motion Planning for Robot Manipulator in Dynamic Roadmap
2.1 Introduction 2
2.2 Background 3
2.2.1 Sampling-based Motion Planning 3
2.2.2 Dynamic Roadmap 4
2.2.3 Manipulability Measure 5
2.3 Manipulability-aware DRM 6
2.4 Simulations 8
2.5 Conclusion 11
III. A Parallelization Framework for Real-time Path Shortening of High-DOFs Manipulator
3.1 Introduction 12
3.2 Background 13
3.3 Parallelization Framework for Fast Path Shortening 16
3.3.1 Limitations of APSC Algorithm 16
3.3.2 Parallelization Framework for Fast Path Shortening 18
3.4 Simulations 21
3.4.1 Setup 21
3.4.2 Results 23
3.5 Conclusion 32
IV. Summary 33
References 34
요약문 38
URI
http://dgist.dcollection.net/common/orgView/200000282368
http://hdl.handle.net/20.500.11750/12019
DOI
10.22677/Theses.200000282368
Degree
Master
Department
Information and Communication Engineering
Publisher
DGIST
Show Full Item Record

File Downloads

  • There are no files associated with this item.

공유

qrcode
공유하기

Total Views & Downloads