| Integrated intelligence for human-robot teams J Oh, TM Howard, MR Walter, D Barber, M Zhu, S Park, A Suppe, ... 2016 International Symposium on Experimental Robotics, 309-322, 2017 | 30 | 2017 |
| On the likely number of solutions for the stable marriage problem C Lennon, B Pittel Combinatorics, Probability and Computing 18 (3), 371-421, 2009 | 16 | 2009 |
| A metric for self-rightability and understanding its relationship to simple morphologies CC Kessens, CT Lennon, J Collins 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 14 | 2014 |
| US army research laboratory (ARL) robotics collaborative technology alliance 2014 capstone experiment M Childers, C Lennon, B Bodt, J Pusey, S Hill, R Camden, J Oh, R Dean, ... US Army Research Laboratory Aberdeen Proving Ground United States, 2016 | 9 | 2016 |
| RCTA capstone assessment C Lennon, B Bodt, M Childers, R Dean, J Oh, C DiBerardino, T Keegan Unmanned Systems Technology XVII 9468, 47-61, 2015 | 9 | 2015 |
| Evaluating nhl goalies, skaters, and teams using weighted shots B Macdonald, C Lennon, R Sturdivant arXiv preprint arXiv:1205.1746, 2012 | 9 | 2012 |
| Learning features while learning to classify: a cognitive model for autonomous systems M Martin, C Lebiere, MA Fields, C Lennon Computational and Mathematical Organization Theory 26 (1), 23-54, 2020 | 8 | 2020 |
| Performance evaluation of a semantic perception classifier C Lennon, B Bodt, M Childers, R Camden, A Suppe, L Navarro-Serment, ... Army Research Labs, Tech. Rep. ARL-TR-6653, 2013 | 7 | 2013 |
| Task-guided inverse reinforcement learning under partial information F Djeumou, M Cubuktepe, C Lennon, U Topcu Proceedings of the international conference on automated planning and …, 2022 | 5 | 2022 |
| Risk averse bayesian reward learning for autonomous navigation from human demonstration C Ellis, M Wigness, J Rogers, C Lennon, L Fiondella 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 5 | 2021 |
| Recognizing scenes by simulating implied social interaction networks MA Fields, C Lennon, C Lebiere, MK Martin Intelligent Robotics and Applications: 9th International Conference, ICIRA …, 2015 | 5 | 2015 |
| A multifidelity sim-to-real pipeline for verifiable and compositional reinforcement learning C Neary, C Ellis, AS Samyal, C Lennon, U Topcu 2024 IEEE International Conference on Robotics and Automation (ICRA), 4349-4355, 2024 | 3 | 2024 |
| Robotic uses of tails: Self-righting C Kessens, CT Lennon Robot.: Sci. Syst. Workshop “Robot. Uses Tails,” Rome, Italy, 2015 | 3 | 2015 |
| Stable matchings with additional objectives C Lennon Unpublished manuscript. http://www. dcs. gla. ac. uk/~ pat/jchoco/gatsp …, 2012 | 3 | 2012 |
| Priming for autonomous cognitive systems MA Fields, C Lennon, M Martin, C Lebiere Micro-and Nanotechnology Sensors, Systems, and Applications IX 10194, 415-426, 2017 | 2 | 2017 |
| Assessment of RCTA research C Lennon, M Childers, R Camden, L Sapronov, M Martin, A Dornbush, ... Unmanned Systems Technology XIX 10195, 1019502, 2017 | 2 | 2017 |
| Assessing autonomy vulnerabilities in military vehicles CT Lennon, MA Childers Unmanned Systems Technology XIX 10195, 303-312, 2017 | 2 | 2017 |
| Detecting team behavior using focus of attention BJ Wimpey, C Lennon, MA Fields 2015 Winter Simulation Conference (WSC), 2378-2387, 2015 | 2 | 2015 |
| An integrated assessment of progress in robotic perception and semantic navigation C Lennon, B Bodt, M Childers, J Oh, A Suppe, L Navarro-Serment, ... Aberdeen Proving Ground (MD): Army Research Laboratory (US), 2015 | 2 | 2015 |
| Assessment of navigation using a hybrid cognitive/metric world model C Lennon, B Bodt, M Childers, B Dean, J Oh, C DiBerardino Aberdeen Proving Ground (MD): Army Research Laboratory (US), 2015 | 2 | 2015 |
