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Anagha Kulkarni
Anagha Kulkarni
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Cited by
Cited by
Year
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
2142017
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
1972019
A unified framework for planning in adversarial and cooperative environments
A Kulkarni, S Srivastava, S Kambhampati
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2479-2487, 2019
792019
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
752018
Explicability as minimizing distance from expected behavior
A Kulkarni, Y Zha, T Chakraborti, SG Vadlamudi, Y Zhang, ...
Proceedings of Workshop on Explainable AI Planning at International …, 2018
57*2018
A Mixed Reality Workspace for Proximal Human-in-the-Loop Operation of Robots
T Chakraborti, S Sreedharan, A Kulkarni, S Kambhampati
Proceedings of VAM HRI 2018, 2018
47*2018
Explicable Robot Planning as Minimizing Distance from Expected Behavior
A Kulkarni, T Chakraborti, Y Zha, SG Vadlamudi, Y Zhang, ...
arXiv preprint arXiv:1611.05497v2, 2016
372016
Explainable Human-AI Interaction: A Planning Perspective
S Sreedharan, A Kulkarni, S Kambhampati
Springer Nature, 2022
322022
Plan explicability for robot task planning
Y Zhang, S Sreedharan, A Kulkarni, T Chakraborti, HH Zhuo, ...
Proceedings of the RSS Workshop on Planning for Human-Robot Interaction …, 2016
272016
Signaling friends and head-faking enemies simultaneously: Balancing goal obfuscation and goal legibility
A Kulkarni, S Srivastava, S Kambhampati
AAMAS Conference proceedings, 2020
262020
Designing environments conducive to interpretable robot behavior
A Kulkarni, S Sreedharan, S Keren, T Chakraborti, DE Smith, ...
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
252020
Resource Bounded Goal Obfuscation in Adversarial Environments
A Kulkarni, M Klenk, S Rane, H Soroush
AAAI Fall Symposium on Integrating Planning, Diagnosis and Causal Reasoning, 2018
25*2018
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI
S Sreedharan, A Kulkarni, DE Smith, S Kambhampati
arXiv preprint arXiv:2104.10743, 2021
172021
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction.
S Sreedharan, A Kulkarni, DE Smith, S Kambhampati
IJCAI, 4602-4610, 2021
17*2021
A bayesian account of measures of interpretability in human-ai interaction
S Sreedharan, A Kulkarni, T Chakraborti, DE Smith, S Kambhampati
Proceedings of Workshop on Cooperative AI at Conference on Neural …, 2020
112020
Planning for Proactive Assistance in Environments with Partial Observability
A Kulkarni, S Srivastava, S Kambhampati
Proceedings of Workshop on Explainable AI Planning at ICAPS, 2021
82021
Balancing Communication and Behavior
S Sreedharan, A Kulkarni, S Kambhampati
Explainable Human-AI Interaction: A Planning Perspective, 95-105, 2022
22022
Explainable Human-AI Interaction: A Planning Perspective Sreedharan
S Sreedharan, A Kulkarni, S Kambhampati
Synthesis Lectures on Artificial Intelligence and Machine Learning: Lecture# 47, 2022
12022
Explanation as Model Reconciliation
S Sreedharan, A Kulkarni, S Kambhampati
Explainable Human-AI Interaction: A Planning Perspective, 59-80, 2022
12022
Legible Behavior
S Sreedharan, A Kulkarni, S Kambhampati
Explainable Human-AI Interaction: A Planning Perspective, 47-57, 2022
12022
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