I am a PhD student majoring in Computer Science at Arizona State University. I am a member of Yochan research group directed by Prof. Subbarao Kambhampati. Before joining ASU in 2015, I did my Master’s at University of Southern California with a major in Computer Science. At USC, I worked on multi-agent path planning problems at IDM Lab while being supervised by Dr. T. K. Satish Kumar and on human-robot interaction related projects at Interaction Lab.

If you’d like to contact me, please drop me a mail at anaghak at asu dot edu or find me on LinkedIn.

Research Interests

Publications

Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibility
A. Kulkarni, S. Srivastava, & S. Kambhampati
to appear as an Extended Abstract in Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2020.

Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior
T. Chakraborti, A. Kulkarni, S. Sreedharan, D. Smith, & S. Kambhampati
to appear in Proceedings of International Conference on Automated Planning and Scheduling (ICAPS) 2019.

Explicability as Minimizing Distance from Expected Behavior
A. Kulkarni, Y. Zha, T. Chakraborti, S. Vadlamudi, Y. Zhang, & S. Kambhampati
to appear as an Extended Abstract in Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2019.

A Unified Framework for Planning in Adversarial and Cooperative Environments
A. Kulkarni, S. Srivastava, & S. Kambhampati
in Proceedings of AAAI 2019, also appeared in the International Conference on Automated Planning and Scheduling (ICAPS) 2018 Workshop on Planning and Robotics.
Media: [YouTube]

Resource Bounded Secure Goal Obfuscation
A. Kulkarni, M. Klenk, S. Rane, & H. Souroush
appeared in the AAAI 2018 Fall Symposium on Integrating Planning, Diagnosis and Causal Reasoning, and in AAAI 2019 Workshop on Plan, Activity and Intent Recognition.

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
in Proceedings of the IEEE/RSJ Inter- national Conference on Intelligent Robots and Systems (IROS) 2018, also appeared in HRI 2018 Workshop on Virtual, Augmented and Mixed Reality for Human-Robot Interaction, and in ICAPS 2018 Workshop on User Interfaces & Scheduling & Planning.
Media: [YouTube]

Explicability as Minimizing Distance from Expected Behavior
A. Kulkarni, Y. Zha, T. Chakraborti, S. Vadlamudi, Y. Zhang, & S. Kambhampati
in the International Conference on Automated Planning and Scheduling (ICAPS) 2018 Workshop on Explainable AI Planning.
Media: [YouTube]

Augmented Workspace for Human-in-the-Loop Plan Execution
T. Chakraborti, S. Sreedharan, A. Kulkarni, & S. Kambhampati
in ICAPS 2017 Workshop on User Interfaces & Scheduling & Planning; and ICAPS 2017 System Demonstrations and Exhibits.
Media: [YouTube] [U.S. Microsoft Imagine Cup 2017 Finalist] [PBS 8 Cronkite News] [ASU Fulton School News] [ACM Tech News]

Plan Explicability and Predictability for Robot Task Planning
Y. Zhang, S. Sreedharan, A. Kulkarni, T. Chakraborti, H. H. Zhuo, & S. Kambhampati
in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2017, and also appeared in Robotics: Science and Systems (RSS) 2016 Workshop on Planning for Human-Robot Interaction: Shared Autonomy and Collaborative Robotics.
Media: [YouTube]

Explicable Plans for Human-Robot Teams
A. Kulkarni
in AIJ Student Spotlight, Robotics: Science and Systems (RSS) 2016 Workshop on Planning for Human-Robot Interaction: Shared Autonomy and Collaborative Robotics.
Media: [YouTube]