You can check out my Google Scholar profile here. And my Twitter page here.


Conference Publications.

(and Preprints).

 

 

K. Bullard, D. Kiela, F. Meier, J. Pineau, and J. Foerster. “Quasi-Equivalence Discovery for Zero-Shot Emergent Communication,” arXiv Preprint, 2021. [arXiv]

K. Bullard, F. Meier, D. Kiela, J. Pineau, and J. Foerster. “Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations,” 2020. [arXiv] [NeurIPS EmeComm Workshop] [NeurIPS Deep RL Workshop]

K. Bullard, Y. Schroecker, and S. Chernova. “Active Learning within Constrained Environments through Imitation of an Expert Questioner” in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI). AAAI Press, 2019, pages 2045-2052. [PDF] [arXiv]

K. Bullard, A.L. Thomaz, and S. Chernova. “Towards Intelligent Arbitration of Diverse Active Learning Queries” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2018, pages 6923-6930.  [PDF]

K. Bullard, S. Chernova, and A.L. Thomaz. “Human-Driven Feature Selection for a Robotic Agent Learning Classification Tasks from Demonstration,” in IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018, pages 6049-6056. [PDF]

K. Bullard, B. Akgun, S. Chernova, and A.L. Thomaz. “Grounding Action Parameters from Demonstration,” in 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2016, pages 253-260. [PDF]

T. Fitzgerald, K. Bullard, A.L. Thomaz, and A. Goel. “Situated Mapping for Transfer Learning,” in Fourth Annual Conference on Advances in Cognitive Systems, 2016. [PDF]

V. Chu, K. Bullard, and A.L. Thomaz. “Multimodal Real-Time Contingency Detection for HRI” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2014, pages 3327-3332. [PDF] 

Qu, Y., S. Pandhiti, K.S. Bullard, W.D. Potter, and K.F. Fezer, “Development of a Genetic Fuzzy Controller for an Unmanned Aerial Vehicle,” in Modern Approaches in Applied Intelligence, Lecture Notes in Artificial Intelligence, 2011, Vol 6703, pg 328-335. [PDF]

 

Workshop and Symposium Papers.

K. Bullard, J. Foerster, D. Kiela, J. Pineau, and F. Meier. “Towards Emerging Nonverbal Communication Protocols for Multi-Robot Populations,” in Emergent Behaviors in Human-Robot Systems at Robotics: Science and Systems (RSS), Virtual Conference, 2020. [PDF]

K. Bullard, A.L. Thomaz, and S. Chernova. “Designing Questioning Strategies for an Active Learning Agent employing Diverse Query Types,” in Models and Representations for Human-Robot Communication at Robotics: Science and Systems (RSS), Pittsburgh, PA, USA, 2018.

K. Bullard. “Question Arbitration for Robot Task Learning,” in Black in Artificial Intelligence Workshop at the Thirty-First Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, USA, 2017.

K. Bullard. “Task Learning from Dialog,” in Young Researchers’ Roundtable on Spoken Dialogue Systems at the Annual Conference of the ACL/ISCA Special Interest Group on Discourse and Dialogue (SIGDIAL), Saarbrücken, Germany, 2017.

K. Bullard, S. Chernova, and A.L. Thomaz. “Exploring Human-Driven Feature Selection for Robot Task Learning,” in Workshop on Mathematical Models, Algorithms, and Human-Robot Interaction at Robotics: Science and Systems (RSS), Boston, MA, USA, 2017. [PDF]

K. Bullard, S. Chernova, and A.L. Thomaz. ”An HRI approach to Feature Selection,” in Proceedings of the AAAI Fall Symposium on Artificial Intelligence and Human-Robot Interaction (AI-HRI), Arlington, VA, USA, 2016. [PDF]

K. Bullard. “Embodied queries for robot task learning,” in HRI Pioneers Workshop at the Eleventh ACM/IEEE International Conference on Human Robot Interaction (HRI), Christchurch, NZ, 2016. [PDF]

B. Akgun, K. Bullard, V. Chu, and A.L. Thomaz. ”An HRI approach to Learning from Demonstration,” in Proceedings of the AAAI Fall Symposium on Artificial Intelligence and Human-Robot Interaction (AI-HRI), Arlington, VA, USA, 2014. [PDF]

K. Bullard and A.L. Thomaz. “Active Robot Learning for Sequential Object-Directed Tasks,” in Workshop on Learning Plans with Context from Human Signals at Robotics: Science and Systems (RSS), Berkeley, USA, 2014. [PDF]