Papers

10

Total Citations

1,615

H-Index

9

About

Neil David McKay is a pioneering researcher in robotic motion planning and control, whose work fundamentally shaped how engineers approach the problem of moving robotic manipulators efficiently along constrained paths. Active primarily during the 1980s and early 1990s, McKay made landmark contributions to minimum-time trajectory planning, most notably through his highly influential 1985 paper "Minimum-time control of robotic manipulators with geometric path constraints," which has garnered nearly 1,000 citations and remains a cornerstone reference in robotics literature. By tackling the coupled, nonlinear dynamics of robot arms directly rather than relying on simplified decoupled models, McKay helped bridge the gap between theoretical control and practical implementation. His 1986 dynamic programming approach to trajectory planning (369 citations) provided an elegant computational framework for optimizing manipulator motion under torque and force constraints. Further contributions addressed near-minimum-time path selection, robust planning under payload uncertainty, and generalized torque constraints for industrial robots — collectively accumulating over 1,600 citations. McKay's body of work has had lasting impact on industrial robotics, laying essential groundwork for efficient, constraint-aware motion planning systems still relevant to modern automation and manufacturing.

Research Focus

Key Achievements

9
H-Index
10
Papers
1,615
Total Citations
162
Avg Citations/Paper
🏆 Most Cited Paper
Minimum-time control of robotic manipulators with geometric path constraints
992 citations · 1985
📈 Most Prolific Year: 1986 (4 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Michigan–Ann Arbor, General Motors (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago