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Humanoid Arm Geometric Model
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The world is slowly moving into increased human-robot interaction where both humans and robots can co-exist in the same domain. For the robot to be able to operate effectively in a man’s designed environment, it becomes necessary to model the robot with human capabilities as humans are seen as more capable. Replicating human becomes a huge challenge due to numerous degrees-of-freedom (DOFs) that human possess resulting into too many variables and nonlinear equations. Other challenges do occur like singularities.

 

In this thesis, the singularity challenge of a redundant humanoid arm is explored while maintaining a simple 7 DOF serial chain structure. As opposed to the 30 DOF human arm, a simpler 7 DOF humanoid arm is adopted and studied to eliminate the singularity challenges. The singularity problem mainly comes from the elbow and the spherical joints at the shoulder and wrist. A step-by-step review of available inverse kinematics techniques is made with more focus on the iterative Jacobian-based methods. A step-by-step approach is adopted so as to identify the source of singularities while using the iterative Jacobian-based techniques that are able to handle the nonlinearities of the equations.

 

The Singular Value Filtering (SVF) technique coupled with Selectively Damped Least Squares (SDLS) is employed. Without any restrictions to the stretch of the arm or end-effector pose, the method demonstrates, in conjunction with Euler angle singularity avoidance method, the elimination of singularity problems. This is achieved with no adjustment to kinematic model of the manipulator.

 

Place, publisher, year, edition, pages
2016. , 35 p.
Keyword [en]
7 DOF Humanoid Arm, Singularities, Singular value Filtering, Selectively Damped Least Squares, Euler Angle Switching, Obstacle Avoidance, Joint Limit Avoidance
National Category
Robotics
Identifiers
URN: urn:nbn:se:hig:diva-21769OAI: oai:DiVA.org:hig-21769DiVA: diva2:940073
Subject / course
Electronics
Educational program
Electronics/Automation – master's programme (two years) (sv or eng)
Supervisors
Examiners
Available from: 2016-10-11 Created: 2016-06-20 Last updated: 2016-10-11Bibliographically approved

Open Access in DiVA

fulltext(989 kB)45 downloads
File information
File name FULLTEXT01.pdfFile size 989 kBChecksum SHA-512
89df5338013e9e2d101274b083f7fdbf7ba06a4cfb77ac8883575ea291cb66509afc7c5239492e4e570e1cb52bae65e711e0076ee9062ec9f05becd2810e0ff1
Type fulltextMimetype application/pdf

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Department of Electronics, Mathematics and Natural Sciences
Robotics

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf