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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
2572017
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
1562017
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
1302019
The emerging landscape of explainable ai planning and decision making
T Chakraborti, S Sreedharan, S Kambhampati
arXiv preprint arXiv:2002.11697, 2020
1092020
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
842014
Ai challenges in human-robot cognitive teaming
T Chakraborti, S Kambhampati, M Scheutz, Y Zhang
arXiv preprint arXiv:1707.04775, 2017
752017
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
722019
From robotic process automation to intelligent process automation
T Chakraborti, V Isahagian, R Khalaf, Y Khazaeni, V Muthusamy, Y Rizk, ...
International Conference on Business Process Management, 215-228, 2020
682020
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
642014
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
622018
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
562018
Handling model uncertainty and multiplicity in explanations via model reconciliation
S Sreedharan, S Kambhampati
Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018
562018
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
442015
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
402018
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
392017
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
382015
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
372017
Explicablility as minimizing distance from expected behavior
A Kulkarni, Y Zha, T Chakraborti, SG Vadlamudi, Y Zhang, ...
arXiv preprint arXiv:1611.05497, 2016
372016
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
342011
Visualizations for an explainable planning agent
T Chakraborti, KP Fadnis, K Talamadupula, M Dholakia, B Srivastava, ...
arXiv preprint arXiv:1709.04517, 2017
332017
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