Tathagata Chakraborti
Tathagata Chakraborti
IBM Research AI
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Plan explanations as model reconciliation: Moving beyond explanation as soliloquy
T Chakraborti, S Sreedharan, Y Zhang, S Kambhampati
arXiv preprint arXiv:1701.08317, 2017
1822017
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
1182017
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
772014
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
742019
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
572014
AI challenges in human-robot cognitive teaming
T Chakraborti, S Kambhampati, M Scheutz, Y Zhang
arXiv preprint arXiv:1707.04775, 2017
562017
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
462019
Handling model uncertainty and multiplicity in explanations via model reconciliation
S Sreedharan, S Kambhampati
Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018
442018
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
402018
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
392015
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
382018
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
352017
Explicablility as minimizing distance from expected behavior
A Kulkarni, Y Zha, T Chakraborti, SG Vadlamudi, Y Zhang, ...
arXiv preprint arXiv:1611.05497, 2016
352016
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
312015
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
272017
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
272011
The Emerging Landscape of Explainable Automated Planning & Decision Making.
T Chakraborti, S Sreedharan, S Kambhampati
IJCAI, 4803-4811, 2020
252020
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
252018
Visualizations for an explainable planning agent
T Chakraborti, KP Fadnis, K Talamadupula, M Dholakia, B Srivastava, ...
arXiv preprint arXiv:1709.04517, 2017
252017
Balancing Explicability and Explanation in Human-Aware Planning
T Chakraborti, S Sreedharan, S Kambhampati
arXiv preprint arXiv:1708.00543, 2017
252017
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