Michael Everett
About
Michael Everett has authored 27 papers that have received a total of 1.3k indexed citations.
This includes 19 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Control and Systems Engineering. The topics of these papers are Robotic Path Planning Algorithms (10 papers), Adversarial Robustness in Machine Learning (10 papers) and Autonomous Vehicle Technology and Safety (8 papers). Michael Everett is often cited by papers focused on Robotic Path Planning Algorithms (10 papers), Adversarial Robustness in Machine Learning (10 papers) and Autonomous Vehicle Technology and Safety (8 papers) and collaborates with scholars based in United States, Iran and The Netherlands. Michael Everett's co-authors include Jonathan P. How, Golnaz Habibi, Yu Fan Chen, Brett T. Lopez and Christopher Amato and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Robotics.
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