Michael McDonald
Sandia National Laboratories California, Sandia National Laboratories
Papers
9
Total Citations
97
H-Index
4
About
Michael McDonald's research career has been defined by pioneering work in robotics simulation, virtual collaborative control, and intelligent system development. His most significant contributions center on the creation of the Umbra Simulation Framework at Sandia National Laboratories, a modular modeling environment that enables rapid prototyping and analysis of complex robotic systems for manufacturing, military, and security applications. This framework, detailed in papers with over 19 citations, generalizes data-flow-based simulation to model heterogeneous interactions through a multiple worlds abstraction. McDonald also advanced virtual collaborative engineering (VCE) and virtual collaborative visualization (VCV), allowing designers to interact over networks to solve technical problems in shared virtual scenes—work that has garnered 27 citations. His early research on Graphical Programming for telerobotic control (17 citations) laid groundwork for safer, faster robot system development in unstructured environments. More recently, McDonald has explored guided imitation learning for task and motion planning (TAMP), addressing long-horizon manipulation challenges. With a career spanning from the early 1990s to present, his work has consistently bridged simulation, remote control, and human-robot collaboration, making him a key figure in advancing intelligent robotic systems for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Umbra simulation framework as applied to building HLA federates20 citations · 2003
- 3The Umbra Simulation Framework19 citations · 2001
- 4Graphical programming: On-line robot simulation for telerobotic control17 citations · 1993
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- 7Guided Imitation of Task and Motion Planning3 citations · 2021
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- 9