Personal information

Activities

Employment (1)

Northeastern University: Boston, US

Employment
Source: Self-asserted source
Michael F Everett

Education and qualifications (1)

Massachusetts Institute of Technology: Cambridge, MA, US

Education
Source: check_circle
Massachusetts Institute of Technology

Works (11)

Collision Avoidance Verification of Multiagent Systems With Learned Policies

IEEE Control Systems Letters
2024 | Journal article
Contributors: Zihao Dong; Shayegan Omidshafiei; Michael Everett
Source: check_circle
Crossref

EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy

IEEE Transactions on Robotics
2024 | Journal article
Contributors: Xiaoyi Cai; Siddharth Ancha; Lakshay Sharma; Philip R. Osteen; Bernadette Bucher; Stephen Phillips; Jiuguang Wang; Michael Everett; Nicholas Roy; Jonathan P. How
Source: check_circle
Crossref

Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems

IEEE Open Journal of Control Systems
2023 | Journal article
Contributors: Nicholas Rober; Sydney M. Katz; Chelsea Sidrane; Esen Yel; Michael Everett; Mykel J. Kochenderfer; Jonathan P. How
Source: check_circle
Crossref

DRIP: Domain Refinement Iteration With Polytopes for Backward Reachability Analysis of Neural Feedback Loops

IEEE Control Systems Letters
2023 | Journal article
Contributors: Michael Everett; Rudy Bunel; Shayegan Omidshafiei
Source: check_circle
Crossref

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning

IEEE Transactions on Neural Networks and Learning Systems
2022-09 | Journal article
Contributors: Michael Everett; Bjorn Lutjens; Jonathan P. How
Source: check_circle
Crossref

FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments

IEEE Transactions on Robotics
2022-04 | Journal article
Contributors: Jesus Tordesillas; Brett T. Lopez; Michael Everett; Jonathan P. How
Source: check_circle
Crossref

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning

IEEE Access
2021 | Journal article
Contributors: Michael Everett; Yu Fan Chen; Jonathan P. How
Source: check_circle
Crossref

Reachability Analysis of Neural Feedback Loops

IEEE Access
2021 | Journal article
Contributors: Michael Everett; Golnaz Habibi; Chuangchuang Sun; Jonathan P. How
Source: check_circle
Crossref

Robustness Analysis of Neural Networks via Efficient Partitioning With Applications in Control Systems

IEEE Control Systems Letters
2021-12 | Journal article
Contributors: Michael Everett; Golnaz Habibi; Jonathan P. How
Source: check_circle
Crossref

Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments

IEEE Robotics and Automation Letters
2021-07 | Journal article
Contributors: Bruno Brito; Michael Everett; Jonathan P. How; Javier Alonso-Mora
Source: check_circle
Crossref

Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning

IEEE Robotics and Automation Letters
2020-04 | Journal article
Contributors: Samaneh Hosseini Semnani; Hugh Liu; Michael Everett; Anton de Ruiter; Jonathan P. How
Source: check_circle
Crossref