Michael Everett

According to our database, Michael Everett authored at least 41 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How

IEEE Trans. Robotics, 2024

Collision Avoidance Verification of Multiagent Systems With Learned Policies.

Zihao Dong, Shayegan Omidshafiei, Michael Everett

IEEE Control. Syst. Lett., 2024

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

CoRR, 2024

Continuously Optimizing Radar Placement with Model Predictive Path Integrals.

Michael Potter, Shuo Tang, Paul Ghanem, Milica Stojanovic, Pau Closas, Murat Akçakaya, Ben Wright, Marius Necsoiu, Deniz Erdogmus, Michael Everett, Tales Imbiriba

CoRR, 2024

2023

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

Michael Everett, Rudy Bunel, Shayegan Omidshafiei

IEEE Control. Syst. Lett., 2023

Robust Survival Analysis with Adversarial Regularization.

Michael Potter, Stefano Maxenti, Michael Everett

CoRR, 2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.

Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin

CoRR, 2023

Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments.

Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How

IROS, 2023

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops.

Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How

Proceedings of the American Control Conference, 2023

2022

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

Jesus Tordesillas, Brett Thomas Lopez, Michael Everett, Jonathan P. How

IEEE Trans. Robotics, 2022

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning.

Michael Everett, Björn Lütjens, Jonathan P. How

IEEE Trans. Neural Networks Learn. Syst., 2022

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

Nicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. How

CoRR, 2022

Influencing Long-Term Behavior in Multiagent Reinforcement Learning.

Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map.

Xiaoyi Cai, Michael Everett, Jonathan Fink, Jonathan P. How

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC.

Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Backward Reachability Analysis for Neural Feedback Loops.

Nicholas Rober, Michael Everett, Jonathan P. How

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

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

Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora

IEEE Robotics Autom. Lett., 2021

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

Michael Everett, Golnaz Habibi, Jonathan P. How

IEEE Control. Syst. Lett., 2021

Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians.

Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora

CoRR, 2021

Reachability Analysis of Neural Feedback Loops.

Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How

IEEE Access, 2021

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning.

Michael Everett, Yu Fan Chen, Jonathan P. How

IEEE Access, 2021

Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers.

Michael Everett, Golnaz Habibi, Jonathan P. How

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Neural Network Verification in Control.

Michael Everett

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

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

Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton H. J. de Ruiter, Jonathan P. How

IEEE Robotics Autom. Lett., 2020

Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems.

Michael Everett, Golnaz Habibi, Jonathan P. How

CoRR, 2020

R-MADDPG for Partially Observable Environments and Limited Communication.

Rose E. Wang, Michael Everett, Jonathan P. How

CoRR, 2020

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments.

Jesus Tordesillas, Brett Thomas Lopez, Michael Everett, Jonathan P. How

CoRR, 2020

2019

Planning Beyond The Sensing Horizon Using a Learned Context.

Michael Everett, Justin Miller, Jonathan P. How

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Safe Reinforcement Learning With Model Uncertainty Estimates.

Björn Lütjens, Michael Everett, Jonathan P. How

Proceedings of the International Conference on Robotics and Automation, 2019

Certified Adversarial Robustness for Deep Reinforcement Learning.

Björn Lütjens, Michael Everett, Jonathan P. How

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Three-Dimensional UAV Routing With Deconfliction.

Sohail Razzaq, Costas Xydeas, Michael Everett, Anzar Mahmood, Thamer Alquthami

IEEE Access, 2018

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning.

Michael Everett, Yu Fan Chen, Jonathan P. How

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Socially aware motion planning with deep reinforcement learning.

Yu Fan Chen, Michael Everett, Miao Liu, Jonathan P. How

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations.

Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett Thomas Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Scalable accelerated decentralized multi-robot policy search in continuous observation spaces.

Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning.

Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2014

Seeing around corners with a mobile phone?: synthetic aperture audio imaging.

Hisham Bedri, Micha Feigin, Michael Everett, Ivan Filho, Gregory L. Charvat, Ramesh Raskar

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

2013

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

Proceedings of the IEEE Frontiers in Education Conference, 2013

2008

A Passive Approach to Autonomous Collision Detection and Avoidance.

Plamen Angelov, Cosmin Danut Bocaniala, Costas S. Xydeas, Charles Patchett, Darren Ansell, Michael Everett, Gang Leng

Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008

2006

Loudmouth: : modifying text-to-speech synthesis in noise.

Rupal Patel, Michael Everett, Eldar Sadikov

Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility, 2006