Michael Everett
Massachusetts Institute of Technology
H-index: 16
North America-United States
Top articles of Michael Everett
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Collision Avoidance Verification of Multiagent Systems with Learned Policies | arXiv preprint arXiv:2403.03314 | Zihao Dong Shayegan Omidshafiei Michael Everett | 2024/3/5 |
A hybrid partitioning strategy for backward reachability of neural feedback loops | Nicholas Rober Michael Everett Songan Zhang Jonathan P How | 2023/5/31 | |
Robust Survival Analysis with Adversarial Regularization | arXiv preprint arXiv:2312.16019 | Michael Potter Stefano Maxenti Michael Everett | 2023/12/26 |
RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation | Lakshay Sharma Michael Everett Donggun Lee Xiaoyi Cai Philip Osteen | 2023/5/29 | |
Evora: Deep evidential traversability learning for risk-aware off-road autonomy | arXiv preprint arXiv:2311.06234 | Xiaoyi Cai Siddharth Ancha Lakshay Sharma Philip R Osteen Bernadette Bucher | 2023/11/10 |
Backward reachability analysis of neural feedback loops: Techniques for linear and nonlinear systems | IEEE Open Journal of Control Systems | Nicholas Rober Sydney M Katz Chelsea Sidrane Esen Yel Michael Everett | 2023/4/10 |
Probabilistic traversability model for risk-aware motion planning in off-road environments | Xiaoyi Cai Michael Everett Lakshay Sharma Philip R Osteen Jonathan P How | 2023/10/1 | |
DRIP: domain refinement iteration with polytopes for backward reachability analysis of neural feedback loops | IEEE Control Systems Letters | Michael Everett Rudy Bunel Shayegan Omidshafiei | 2023/3/22 |
Principles and guidelines for evaluating social robot navigation algorithms | arXiv preprint arXiv:2306.16740 | Anthony Francis Claudia Pérez-d'Arpino Chengshu Li Fei Xia Alexandre Alahi | 2023/6/29 |
Backward reachability analysis for neural feedback loops | Nicholas Rober Michael Everett Jonathan P How | 2022/12/6 | |
Influencing long-term behavior in multiagent reinforcement learning | Advances in Neural Information Processing Systems | Dong-Ki Kim Matthew Riemer Miao Liu Jakob Foerster Michael Everett | 2022/12/6 |
Risk-aware off-road navigation via a learned speed distribution map | Xiaoyi Cai Michael Everett Jonathan Fink Jonathan P How | 2022/10/23 | |
Efficient guided policy search via imitation of robust tube MPC | Andrea Tagliabue Dong-Ki Kim Michael Everett Jonathan P How | 2022/5/23 | |
Faster: Fast and safe trajectory planner for navigation in unknown environments | IEEE Transactions on Robotics | Jesus Tordesillas Brett T Lopez Michael Everett Jonathan P How | 2021/10/28 |
Efficient reachability analysis of closed-loop systems with neural network controllers | Michael Everett Golnaz Habibi Jonathan P How | 2021/5/30 | |
Certified adversarial robustness for deep reinforcement learning | 2021/4/8 | ||
Where to go next: Learning a subgoal recommendation policy for navigation in dynamic environments | IEEE Robotics and Automation Letters | Bruno Brito Michael Everett Jonathan P How Javier Alonso-Mora | 2021/3/24 |
Neural network verification in control | Michael Everett | 2021/12/14 | |
Collision avoidance in pedestrian-rich environments with deep reinforcement learning | IEEE Access | Michael Everett Yu Fan Chen Jonathan P How | 2021/1/8 |
Reachability analysis of neural feedback loops | IEEE Access | Michael Everett Golnaz Habibi Chuangchuang Sun Jonathan P How | 2021/12/6 |
Co-Authors
