Hello world! You've reached the homepage of Tathagata Chakraborti. I am a Research Staff Member in IBM Research's AI Composition Lab in Cambridge (MA) USA. Previously, I completed my Ph.D. with Professor Subbarao Kambhampati at Arizona State University.

My research is in the field of Artificial Intelligence, particularly in decision-making with humans in the loop. Feel free to reach out any time with comments · ideas · questions!

Hi there! Do you know what it takes to build conversation agents for enterprise use? At IBM Research, our team is looking to fundamentally redefine the bot design process to make it more accessible to end users through a unique blend of planning and learning technologies. Please consider signing up here to follow our team and take our system for a ride!

Interested in Explainable AI Planning? Check out the ICAPS 2019 Workshop on Explainable Planning. Participiate in the OpenReview process.

Check out the ICAPS 2019 KEPS Workshop where we are doing a special session on the many flavors of data driven model acquisition for planning. Participiate in the OpenReview process.

Research Interests
  • Planning and Decision Making with Humans in the Loop · Human-aware planning for human-agent teaming · Explainable Planning · Planning for Decision Support · Human-AI Collaboration · Dialogue Planning and Conversational Agents.
Publications · Conferences · Journals
Balancing Explicability and Explanation in Human-Aware Planning. Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati. IJCAI 2019. Appeared previously in AAAI 2017 Fall Symposium on AI-HRI and as an extended abstract in the proceedings of AAMAS 2018. Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior. Tathagata Chakraborti, Anagha Kulkarni, Sarath Sreedharan, David E. Smith, Subbarao Kambhampati. ICAPS 2019. Explicability as Minimizing Distance from Expected Behavior. Anagha Kulkarni, Yantian Zha, Tathagata Chakraborti, Satya Gautam Vadlamudi, Yu Zhang, Subbarao Kambhampati. AAMAS 2019 (Extended Abstract). Appeared previously in ICAPS 2018 XAIP. Plan Explanations as Model Reconciliation -- An Empirical Study. Tathagata Chakraborti, Sarath Sreedharan, Sachin Grover, Subbarao Kambhampati. HRI 2019. (When) Can Bots Lie? Tathagata Chakraborti and Subbarao Kambhampati. AIES @ AAAI 2019. Featured among the ACM Tech News Highlights of AIES 2019. Planning and Visualization for a Smart Meeting Room Assistant -- A Case Study in the Cognitive Environments Laboratory at IBM T.J. Waston Research Center, Yorktown. Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy. AI Communications 2019. Model Uncertainity and Multiplicity in Explanation via Model Reconciliation. Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati. ICAPS 2018. Appeared previously in AAAI 2017 Fall Symposium on Human-Agent Groups. Projection-Aware Task Planning and Execution for Human-in-the-Loop Operation of Robots in a Mixed-Reality Workspace. Tathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati. IROS 2018. Appeared previously in HRI 2018 VAM-HRI and ICAPS 2018 UISP Workshop. Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy. Tathagata Chakraborti, Sarath Sreedharan, Yu Zhang, and Subbarao Kambhampati. IJCAI 2017. Plan Explicability and Predictability for Robot Task Planning. Yu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, Hankz Hankui Zhuo, Subbarao Kambhampati. ICRA 2017. Appeared previously in RSS 2016 Workshop on Planning for Human-Robot Interaction. UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS. Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati. AAAI / IAAI, 2017. Herding the Crowd: Using Automated Planning for Better Crowdsourced Planning. Lydia Manikonda, Tathagata Chakraborti, Kartik Talamadupula, Subbarao Kambhampati. Human Computation Journal. 2017. Compliant Conditions for Polynomial Time Approximation of Operator Counts. Tathagata Chakraborti, Sarath Sreedharan, Sailik Sengupta, T. K. Satish Kumar, Subbarao Kambhampati. Symposium on Combinatorial Search (SOCS), 2016. Planning with Resource Conflicts in Human-Robot Cohabitation. Tathagata Chakraborti, Yu Zhang, Subbarao Kambhampati. AAMAS 2016. Appeared previously in ICAPS 2015 PlanRob. Planning for Serendipity. Tathagata Chakraborti, Gordon Briggs, Kartik Talamadupula, Yu Zhang, Matthias Scheutz, David Smith, Subbarao Kambhampati. IROS 2015. Appeared previously in ICAPS 2015 PlanRob. A Human Factors Analysis of Proactive Assistance in Human-robot Teaming. Yu Zhang, Vignesh Narayanan, Tathagata Chakraborti, Subbarao Kambhampati. IROS 2015. AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans. Lydia Manikonda, Tathagata Chakraborti, Sushovan De, Kartik Talamadupula, Subbarao Kambhampati. AAAI / IAAI 2014. Appeared previously in ICAPS 2014 SPARK and HCOMP 2014 WiP. Winner of the ICAPS 2014 People's Choice Best System Demonstration Award. Coordination in Human-Robot Teams Using Mental Modeling and Plan Recognition. Kartik Talamadupula, Gordon Briggs, Tathagata Chakraborti, Matthias Scheutz, Subbarao Kambhampati. IROS 2014.
Other Publications · Workshops · Smyposia · Demos · Miscellaneous
MAi : An Intelligent Model Acquisition Interface for Interactive Specification of Dialog Agents. Tathagata Chakraborti and Christian Muise and Subham Agarwal and Luis Lastras. AAAI 2019 System Demonstration Track. Towards Understanding User Preferences for Explanation Types in Explanation as Model Reconciliation. Zahra Zahedi and Alberto Olmo and Tathagata Chakraborti and Sarath Sreedharan and Subbarao Kambhampati. HRI 2019 Late Breaking Report. The Reality-Virtuality Interaction Cube: A Framework for Conceptualizing Mixed-Reality Interaction Design Elements for HRI. Tom Williams and Daniel Szafir and Tathagata Chakraborti. VAM-HRI 2019. Appeares as a HRI 2019 Late Breaking Report. The 1st International Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction. Tom Williams, Daniel Szafir, Tathagata Chakraborti, Heni Ben Amor. AI Magazine. Human-Aware Planning Revisited: A Tale of Three Models. Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati. ICAPS 2018 Workshop on Explainable AI Planning (XAIP) and IJCAI 2018 Workshop on Explainable AI (XAI). What Can Automated Planning do for Intelligent Tutoring Systems? Sachin Grover, Tathagata Chakraborti, Subbarao Kambhampati. ICAPS 2018 SPARK. MA-RADAR - A Mixed-Reality Interface for Collaborative Decision Making. Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati. ICAPS 2018 UISP + System Demo Track. v2v Communication for Augmenting Reality Enabled Smart HUDs to Increase Situational Awareness of Drivers. Andrew Dudley, Tathagata Chakraborti, Subbarao Kambhampati. HRI 2018 VAM-HRI. Visualizations for an Explainable Planning Agent. Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy. ICAPS 2018 XAIP / UISP + ICAPS 2018 / IJCAI 2018 Demo Tracks. Runner-up for the ICAPS 2018 People's Choice Best System Demonstration Award. User Interfaces and Scheduling and Planning: Workshop Summary and Proposed Challenges. Richard G. Freedman, Tathagata Chakraborti, Kartik Talamadupula, Daniele Magazzeni and Jeremy D. Frank. AAAI 2018 Spring Symposium on The Design of the User Experience for Artificial Intelligence (the UX of AI). Virtual, Augmented and Mixed Reality for Human-Robot Interaction. Tom Williams, Daniel Szafir, Tathagata Chakraborti and Heni Ben Amor. Companion to HRI 2018 Proceedings. MTDeep - Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. Sailik Sengupta, Tathagata Chakraborti and Subbarao Kambhampati. AAAI 2018 Workshop on Engineering Dependable and Secure Machine Learning Systems. An Investigation of Bounded Misclassification for Operational Security of Deep Neural Networks. Sailik Sengupta, Andrew Dudley, Tathagata Chakraborti and Subbarao Kambhampati. AAAI 2018 Workshop on Engineering Dependable and Secure Machine Learning Systems. Mr.Jones - Towards a Proactive Smart Room Orchestrator. Tathagata Chakraborti, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephert, Rachel K.E. Bellamy. AAAI 2017 Fall Symposium on Human-Agent Groups. RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning. Sailik Sengupta, Tathagata Chakraborti, Sarath Sreedharan, Satya Gautam Vadlamudi, Subbarao Kambhampati. AAAI 2017 Fall Symposium on Human-Agent Groups. Also appeared in ICAPS 2017 UISP Workshop and System Demonstrations and Exhibits. Alternative Modes of Interaction in Proximal Human-in-the-Loop Operation of Robots. Tathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati. Tech Report. 2017. Appeared in the US Finals of the 2017 Microsoft Imagine Cup. Also appeared in ICAPS 2017 UISP Workshop and System Demonstrations and Exhibits. AI Challenges in Human-Robot Cognitive Teaming. Tathagata Chakraborti, Subbarao Kambhampati, Matthias Scheutz, Yu Zhang. ArXiv. 2017. An ROS-based Shared Communication Middleware for Plug & Play Modular Intelligent Design of Smart Systems. Tathagata Chakraborti, Siddharth Srivastava, Alessandro Pinto, Subbarao Kambhampati. ArXiv. 2017. A Formal Framework for Studying Interaction in Human-Robot Societies. Tathagata Chakraborti, Kartik Talamadupula, Yu Zhang, Subbarao Kambhampati AAAI 2016 Workshop on Symbiotic Cognitive Systems (SCS). A Game Theoretic Approach to Ad-hoc Coalitions in Human-Robot Societies. Tathagata Chakraborti, Venkata Vamsikrishna Meduri, Vivek Dondeti, Subbarao Kambhampati. AAAI 2016 Workshop on Multiagent Interaction without Prior Coordination (MIPC).
★ indicates equal contribution