| Plan explanations as model reconciliation: Moving beyond explanation as soliloquy T Chakraborti, S Sreedharan, Y Zhang, S Kambhampati arXiv preprint arXiv:1701.08317, 2017 | 270 | 2017 |
| Plan explicability and predictability for robot task planning Y Zhang, S Sreedharan, A Kulkarni, T Chakraborti, HH Zhuo, ... 2017 IEEE international conference on robotics and automation (ICRA), 1313-1320, 2017 | 169 | 2017 |
| Explicability? legibility? predictability? transparency? privacy? security? the emerging landscape of interpretable agent behavior T Chakraborti, A Kulkarni, S Sreedharan, DE Smith, S Kambhampati Proceedings of the international conference on automated planning and …, 2019 | 132 | 2019 |
| The emerging landscape of explainable ai planning and decision making T Chakraborti, S Sreedharan, S Kambhampati arXiv preprint arXiv:2002.11697, 2020 | 118 | 2020 |
| Coordination in human-robot teams using mental modeling and plan recognition K Talamadupula, G Briggs, T Chakraborti, M Scheutz, S Kambhampati 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 86 | 2014 |
| From Robotic Process Automation to Intelligent Process Automation: – Emerging Trends – T Chakraborti, V Isahagian, R Khalaf, Y Khazaeni, V Muthusamy, Y Rizk, ... Business Process Management: Blockchain and Robotic Process Automation Forum …, 2020 | 80 | 2020 |
| Plan Explanations as Model Reconciliation -- An Empirical Study T Chakraborti, S Sreedharan, S Grover, S Kambhampati 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019 | 79 | 2019 |
| Ai challenges in human-robot cognitive teaming T Chakraborti, S Kambhampati, M Scheutz, Y Zhang arXiv preprint arXiv:1707.04775, 2017 | 79 | 2017 |
| Virtual, augmented, and mixed reality for human-robot interaction T Williams, D Szafir, T Chakraborti, H Ben Amor Companion of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018 | 68 | 2018 |
| Automatic feature selection of motor imagery EEG signals using differential evolution and learning automata. DN Bhattacharyya, Saugat and Sengupta, Abhronil and Chakraborti, Tathagatha ... Medical & biological engineering \& computing 52, 131--139, 2014 | 67 | 2014 |
| Projection-aware task planning and execution for human-in-the-loop operation of robots in a mixed-reality workspace T Chakraborti, S Sreedharan, A Kulkarni, S Kambhampati 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 61 | 2018 |
| Handling model uncertainty and multiplicity in explanations via model reconciliation S Sreedharan, S Kambhampati Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018 | 59 | 2018 |
| Planning for serendipity T Chakraborti, G Briggs, K Talamadupula, Y Zhang, M Scheutz, D Smith, ... 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 46 | 2015 |
| MTDeep: boosting the security of deep neural nets against adversarial attacks with moving target defense S Sengupta, T Chakraborti, S Kambhampati Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 44 | 2018 |
| Alternative modes of interaction in proximal human-in-the-loop operation of robots T Chakraborti, S Sreedharan, A Kulkarni, S Kambhampati arXiv preprint arXiv:1703.08930, 2017 | 40 | 2017 |
| RADAR -- A Proactive Decision Support System for Human-in-the-Loop Planning S Sengupta, T Chakraborti, S Sreedharan, SG Vadlamudi, ... 2017 AAAI Fall Symposium Series, 2017 | 39 | 2017 |
| Explicablility as minimizing distance from expected behavior A Kulkarni, Y Zha, T Chakraborti, SG Vadlamudi, Y Zhang, ... arXiv preprint arXiv:1611.05497, 2016 | 39 | 2016 |
| A human factors analysis of proactive support in human-robot teaming Y Zhang, V Narayanan, T Chakraborti, S Kambhampati Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International …, 2015 | 39 | 2015 |
| Energy efficient trajectory planning by a robot arm using invasive weed optimization technique A Sengupta, T Chakraborti, A Konar, A Nagar 2011 Third world congress on nature and biologically inspired computing, 311-316, 2011 | 38 | 2011 |
| Explicable Planning as Minimizing Distance from Expected Behavior A Kulkarni, Y Zha, T Chakraborti, SG Vadlamudi, Y Zhang, ... Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 35 | 2019 |
Subbarao KambhampatiArizona State UniversityGeverifieerd e-mailadres voor asu.edu
