Papers

17

Total Citations

387

H-Index

10

About

Rachid Manseur is a distinguished robotics researcher and educator whose career has been defined by foundational contributions to robot kinematics, engineering education, and visualization tools for robotics. His most influential work centers on the inverse kinematics problem for robot manipulators — the mathematical challenge of determining joint configurations that achieve a desired end-effector position. His 1988 algorithm, which garnered 65 citations, introduced an elegant and computationally efficient approach by leveraging end-effector frame selection and rotation orthogonality. A follow-up 1989 study (45 citations) made the remarkable discovery of a six-DOF manipulator capable of producing 16 distinct inverse kinematic solution sets, a finding with significant implications for motion planning and robot design. Beyond theoretical contributions, Manseur has made a lasting mark on robotics education. His Robot-Draw platform (51 citations) brought Internet-based 3D visualization to robotics classrooms, while his textbook *Robot Modeling and Kinematics* (36 citations) has become a pedagogical staple. His work on undergraduate robotics curricula and hardware competitions reflects a deep commitment to accessible, hands-on engineering education. With over 350 cumulative citations, Manseur's career bridges rigorous mathematical research and practical teaching innovation, making him a valued figure across both academic and instructional communities.

Research Focus

Key Achievements

10
H-Index
17
Papers
387
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
A Fast Algorithm for Inverse Kinematic Analysis of Robot Manipulators
65 citations · 1988
📈 Most Prolific Year: 2002 (3 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Florida, University of West Florida, University of North Florida, State University of New York at Oswego

Top Papers

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    Robot Modeling and Kinematics
    36 citations · 2006
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Key Collaborators

Contact & Links

Available for collaboration
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