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Nathan Michael
Robotics
Carnegie Mellon University
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About Nathan Michael at Carnegie Mellon University (CMU)
Nathan Michael is a leading researcher in robotics at Carnegie Mellon University, focusing on robotic path planning, multi-agent systems, and probabilistic modeling.
Their recent contributions to the field are exemplified by influential works such as "Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models", and "Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models".
Research Areas
Robotic Path PlanningSensor-Based LocalizationDistributed ControlMulti-Agent SystemsProbabilistic ModelingHuman-Robot CollaborationCollision AvoidanceAutonomous Exploration
Top Publications
- 1
- 2
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