| 2025 | ICRA | LiDAR Inertial Odometry and Mapping Using Learned Registration-Relevant Features. | Zihao Dong, Jeff Pflueger, Leonard Jung, David Thorne, Philip R. Osteen, Christa S. Robison, Brett Thomas Lopez, Michael Everett |
| 2023 | IROS | Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. | Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How |
| 2023 | ICRA | RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. | Lakshay Sharma, Michael Everett, Donggun Lee, Xiaoyi Cai, Philip R. Osteen, Jonathan P. How |
| 2022 | IROS | Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map. | Xiaoyi Cai, Michael Everett, Jonathan Fink, Jonathan P. How |
| 2022 | ICRA | Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. | Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How |
| 2021 | ICRA | Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. | Michael Everett, Golnaz Habibi, Jonathan P. How |
| 2019 | CoRL | Certified Adversarial Robustness for Deep Reinforcement Learning. | Bjrn Ltjens, Michael Everett, Jonathan P. How |
| 2019 | ICRA | Safe Reinforcement Learning With Model Uncertainty Estimates. | Bjrn Ltjens, Michael Everett, Jonathan P. How |
| 2019 | IROS | Planning Beyond The Sensing Horizon Using a Learned Context. | Michael Everett, Justin Miller, Jonathan P. How |
| 2018 | IROS | Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning. | Michael Everett, Yu Fan Chen, Jonathan P. How |
| 2017 | ICRA | Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning. | Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How |
| 2017 | ICRA | Scalable accelerated decentralized multi-robot policy search in continuous observation spaces. | Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian |
| 2017 | ICRA | Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations. | Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett T. Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian |
| 2017 | IROS | Socially aware motion planning with deep reinforcement learning. | Yu Fan Chen, Michael Everett, Miao Liu, Jonathan P. How |
| 2014 | SIGGRAPH | Seeing around corners with a mobile phone?: synthetic aperture audio imaging. | Hisham Bedri, Micha Feigin, Michael Everett, Ivan Filho, Gregory L. Charvat, Ramesh Raskar |
| 2013 | FIE | A community college blended learning classroom experience through Artificial Intelligence in Games. | Titus Barik, Michael Everett, Rogelio Enrique Cardona-Rivera, David L. Roberts, Edward F. Gehringer |
| 2006 | ASSETS | Loudmouth: : modifying text-to-speech synthesis in noise. | Rupal Patel, Michael Everett, Eldar Sadikov |