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Ross Allen
Ross Allen
Artificial Intelligence Technology, MIT Lincoln Laboratory
Verified email at ll.mit.edu
Title
Cited by
Cited by
Year
A real-time framework for kinodynamic planning with application to quadrotor obstacle avoidance
R Allen, M Pavone
AIAA Guidance, Navigation, and Control Conference, 1374, 2016
912016
Deep implicit coordination graphs for multi-agent reinforcement learning
S Li, JK Gupta, P Morales, R Allen, MJ Kochenderfer
arXiv preprint arXiv:2006.11438, 2020
772020
A machine learning approach for real-time reachability analysis
RE Allen, AA Clark, JA Starek, M Pavone
2014 IEEE/RSJ international conference on intelligent robots and systems …, 2014
692014
A real-time framework for kinodynamic planning in dynamic environments with application to quadrotor obstacle avoidance
RE Allen, M Pavone
Robotics and Autonomous Systems 115, 174-193, 2019
452019
Evaluation of human-ai teams for learned and rule-based agents in hanabi
HC Siu, J Peña, E Chen, Y Zhou, V Lopez, K Palko, K Chang, R Allen
Advances in Neural Information Processing Systems 34, 16183-16195, 2021
422021
Internally-actuated rovers for all-access surface mobility: Theory and experimentation
R Allen, M Pavone, C McQuin, IAD Nesnas, JC Castillo-Rogez, ...
2013 IEEE International Conference on Robotics and Automation, 5481-5488, 2013
35*2013
Toward a real-time framework for solving the kinodynamic motion planning problem
R Allen, M Pavone
2015 IEEE international conference on robotics and automation (ICRA), 928-934, 2015
162015
Learning emergent discrete message communication for cooperative reinforcement learning
S Li, Y Zhou, R Allen, MJ Kochenderfer
2022 International Conference on Robotics and Automation (ICRA), 5511-5517, 2022
132022
Any-play: An intrinsic augmentation for zero-shot coordination
K Lucas, RE Allen
arXiv preprint arXiv:2201.12436, 2022
92022
Health-informed policy gradients for multi-agent reinforcement learning
RE Allen, JK Gupta, J Pena, Y Zhou, JW Bear, MJ Kochenderfer
arXiv preprint arXiv:1908.01022, 2019
92019
Flying smartphones: when portable computing sprouts wings
R Allen, M Pavone, M Schwager
IEEE Pervasive Computing 15 (3), 83-88, 2016
92016
Interpretable autonomous flight via compact visualizable neural circuit policies
P Tylkin, TH Wang, K Palko, R Allen, HC Siu, D Wrafter, T Seyde, A Amini, ...
IEEE Robotics and Automation Letters 7 (2), 3265-3272, 2022
62022
Training deep learning spacecraft component detection algorithms using synthetic image data
H Viggh, S Loughran, Y Rachlin, R Allen, J Ruprecht
2023 IEEE Aerospace Conference, 1-13, 2023
52023
Toward an autonomous aerial survey and planning system for humanitarian aid and disaster response
R Allen, M Mazumder
2020 IEEE Aerospace Conference, 1-11, 2020
52020
Autonomous flight arcade challenge: Single-and multi-agent learning environments for aerial vehicles
P Tylkin, TH Wang, T Seyde, K Palko, R Allen, A Amini, D Rus
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
32022
Safe neural control for non-affine control systems with differentiable control barrier functions
W Xiao, R Allen, D Rus
2023 62nd IEEE Conference on Decision and Control (CDC), 3366-3371, 2023
2023
Learned Risk Metric Maps for Kinodynamic Systems
RE Allen, W Xiao, D Rus
2023 IEEE International Conference on Robotics and Automation (ICRA), 961-967, 2023
2023
SpaceGym: Discrete and Differential Games in Non-Cooperative Space Operations
RE Allen, Y Rachlin, J Ruprecht, S Loughran, J Varey, H Viggh
2023 IEEE Aerospace Conference, 1-12, 2023
2023
Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research
Y Zhou, S Manuel, P Morales, S Li, J Pena, R Allen
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-9, 2020
2020
Feasibility Study of a Three-Stage Radioisotope-Powered Mars Ascent Vehicle
TM Chalpek, RE Allen, JY Guan, SS Rao, SD Howe
Journal of the British Interplanetary Society 64, 38-42, 2011
2011
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