| Trajectories and keyframes for kinesthetic teaching: A human-robot interaction perspective B Akgun, M Cakmak, JW Yoo, AL Thomaz Proceedings of the seventh annual ACM/IEEE international conference on Human …, 2012 | 325 | 2012 |
| Keyframe-based learning from demonstration: Method and evaluation B Akgun, M Cakmak, K Jiang, AL Thomaz International Journal of Social Robotics 4, 343-355, 2012 | 282 | 2012 |
| Sampling heuristics for optimal motion planning in high dimensions B Akgun, M Stilman Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International …, 2011 | 216 | 2011 |
| Chain FL: Decentralized Federated Machine Learning via Blockchain C Korkmaz, HE Kocas, A Uysal, A Masry, O Ozkasap, B Akgun 2020 Second International Conference on Blockchain Computing and …, 2020 | 75 | 2020 |
| Simultaneously learning actions and goals from demonstration B Akgun, A Thomaz Autonomous Robots, 1-17, 2015 | 46 | 2015 |
| Novel interaction strategies for learning from teleoperation B Akgun, K Subramanian, AL Thomaz 2012 AAAI Fall Symposium Series, 2012 | 45* | 2012 |
| Action Recognition Through an Action Generation Mechanism. B Akgün, D Tunaoglu, E Sahin EpiRob, 2010 | 19 | 2010 |
| Flow State Feedback Through Sports Wearables: A Case Study on Tennis H Havlucu, T Eskenazi, B Akgün, MC Onbaşlı, A Coşkun, O Özcan Proceedings of the 2018 Designing Interactive Systems Conference, 1025-1039, 2018 | 17 | 2018 |
| Grounding action parameters from demonstration K Bullard, B Akgun, S Chernova, AL Thomaz 2016 25th IEEE International Symposium on Robot and Human Interactive …, 2016 | 16 | 2016 |
| An evaluation of GUI and kinesthetic teaching methods for constrained-keyframe skills A Kurenkov, B Akgun, AL Thomaz Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International …, 2015 | 16 | 2015 |
| Visual case retrieval for interpreting skill demonstrations T Fitzgerald, K McGreggor, B Akgun, A Thomaz, A Goel Case-Based Reasoning Research and Development: 23rd International Conference …, 2015 | 15 | 2015 |
| Learning haptic affordances from demonstration and human-guided exploration V Chu, B Akgun, AL Thomaz 2016 IEEE haptics symposium (HAPTICS), 119-125, 2016 | 14 | 2016 |
| Unsupervised learning of affordance relations on a humanoid robot B Akgun, N Dag, T Bilal, I Atil, E Sahin 2009 24th International Symposium on Computer and Information Sciences, 254-259, 2009 | 14 | 2009 |
| Reward Learning From Very Few Demonstrations C Eteke, D Kebüde, B Akgün IEEE Transactions on Robotics 37 (3), 893-904, 2020 | 11 | 2020 |
| Learning tasks and skills together from a human teacher B Akgun, K Subramanian, J Shim, A Thomaz Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1868-1869, 2011 | 8 | 2011 |
| Distributed Deep Reinforcement Learning with Wideband Sensing for Dynamic Spectrum Access U Kaytaz, S Ucar, B Akgun, S Coleri 2020 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2020 | 7 | 2020 |
| State-of-the-art Techniques in Deep Edge Intelligence AH Lodhi, B Akgün, Ö Özkasap arXiv preprint arXiv:2008.00824, 2020 | 6 | 2020 |
| Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation BC Sefercik, B Akgun 6th Annual Conference on Robot Learning, 2022 | 5 | 2022 |
| Communicative Cues for Reach-to-Grasp Motions: From Humans to Robots D Kebüde, C Eteke, TM Sezgin, B Akgün Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 5 | 2018 |
| A Visual Analogy Approach to Source Case Retrieval in Robot Learning from Observation T Fitzgerald, K McGreggor, B Akgun, AK Goel, AL Thomaz Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 | 5 | 2014 |
