Michael Everett

27 papers and 1.3k indexed citations i.

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, United Kingdom and Canada. Michael Everett's co-authors include Jonathan P. How, Golnaz Habibi, Yu Fan Chen, Xiaoyi Cai and Miao Liu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Robotics.