Tathagata Chakraborti

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Arizona State University ∙ ibm

Ph.D. student at Arizona State University

From Robotic Process Automation to Intelligent Process Automation: Emerging Trends

In this survey, we study how recent advances in machine intelligence are...
07/27/2020 ∙ by Tathagata Chakraborti, et al. ∙ 30 ∙ share

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Designing Environments Conducive to Interpretable Robot Behavior

Designing robots capable of generating interpretable behavior is a prere...
07/02/2020 ∙ by Anagha Kulkarni, et al. ∙ 21 ∙ share

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The Emerging Landscape of Explainable AI Planning and Decision Making

In this paper, we provide a comprehensive outline of the different threa...
02/26/2020 ∙ by Tathagata Chakraborti, et al. ∙ 47 ∙ share

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CLAI: A Platform for AI Skills on the Command Line

This paper reports on the open source project CLAI (Command Line AI), ai...
01/31/2020 ∙ by Mayank Agarwal, et al. ∙ 31 ∙ share

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D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning

This paper builds upon recent work in the declarative design of dialogue...
01/08/2020 ∙ by Tathagata Chakraborti, et al. ∙ 20 ∙ share

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A Unified Conversational Assistant Framework for Business Process Automation

Business process automation is a booming multi-billion-dollar industry t...
01/07/2020 ∙ by Yara Rizk, et al. ∙ 23 ∙ share

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Planning for Goal-Oriented Dialogue Systems

Generating complex multi-turn goal-oriented dialogue agents is a difficu...
10/17/2019 ∙ by Christian Muise, et al. ∙ 54 ∙ share

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Planning with Explanatory Actions: A Joint Approach to Plan Explicability and Explanations in Human-Aware Planning

In this work, we formulate the process of generating explanations as mod...
03/18/2019 ∙ by Sarath Sreedharan, et al. ∙ 18 ∙ share

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Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior

There has been significant interest of late in generating behavior of ag...
11/23/2018 ∙ by Tathagata Chakraborti, et al. ∙ 0 ∙ share

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Plan Explanations as Model Reconciliation -- An Empirical Study

Recent work in explanation generation for decision making agents has loo...
02/03/2018 ∙ by Tathagata Chakraborti, et al. ∙ 0 ∙ share

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Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration

Effective collaboration between humans and AI-based systems requires eff...
01/30/2018 ∙ by Tathagata Chakraborti, et al. ∙ 0 ∙ share

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Visualizations for an Explainable Planning Agent

In this paper, we report on the visualization capabilities of an Explain...
09/13/2017 ∙ by Tathagata Chakraborti, et al. ∙ 0 ∙ share

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Mr. Jones -- Towards a Proactive Smart Room Orchestrator

In this paper, we report work in progress on the development of Mr. Jone...
09/13/2017 ∙ by Tathagata Chakraborti, et al. ∙ 0 ∙ share

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Balancing Explicability and Explanation in Human-Aware Planning

Human aware planning requires an agent to be aware of the intentions, ca...
08/01/2017 ∙ by Sarath Sreedharan, et al. ∙ 0 ∙ share

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AI Challenges in Human-Robot Cognitive Teaming

Among the many anticipated roles for robots in the future is that of bei...
07/15/2017 ∙ by Tathagata Chakraborti, et al. ∙ 0 ∙ share

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Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy

When AI systems interact with humans in the loop, they are often called ...
01/28/2017 ∙ by Tathagata Chakraborti, et al. ∙ 0 ∙ share

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Explicablility as Minimizing Distance from Expected Behavior

In order to have effective human AI collaboration, it is not simply enou...
11/16/2016 ∙ by Anagha Kulkarni, et al. ∙ 0 ∙ share

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UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS

In this paper, we present UbuntuWorld 1.0 LTS - a platform for developin...
09/27/2016 ∙ by Tathagata Chakraborti, et al. ∙ 0 ∙ share

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Proactive Decision Support using Automated Planning

Proactive decision support (PDS) helps in improving the decision making ...
06/24/2016 ∙ by Satya Gautam Vadlamudi, et al. ∙ 0 ∙ share

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Plan Explicability and Predictability for Robot Task Planning

Intelligent robots and machines are becoming pervasive in human populate...
11/25/2015 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Tathagata Chakraborti

Featured Co-authors

Yu Zhang

Subbarao Kambhampati

Kartik Talamadupula

Biplav Srivastava

David Smith

Murray Campbell

Vinod Muthusamy

Hankz Hankui Zhuo

Sarath Sreedharan

Matthias Scheutz

Yasaman Khazaeni

From Robotic Process Automation to Intelligent Process Automation: Emerging Trends

Designing Environments Conducive to Interpretable Robot Behavior

The Emerging Landscape of Explainable AI Planning and Decision Making

CLAI: A Platform for AI Skills on the Command Line

D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning

A Unified Conversational Assistant Framework for Business Process Automation

Planning for Goal-Oriented Dialogue Systems

Planning with Explanatory Actions: A Joint Approach to Plan Explicability and Explanations in Human-Aware Planning

Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior

Plan Explanations as Model Reconciliation -- An Empirical Study

Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration

Visualizations for an Explainable Planning Agent

Mr. Jones -- Towards a Proactive Smart Room Orchestrator

Balancing Explicability and Explanation in Human-Aware Planning

AI Challenges in Human-Robot Cognitive Teaming

Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy

Explicablility as Minimizing Distance from Expected Behavior

UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS

Proactive Decision Support using Automated Planning

Plan Explicability and Predictability for Robot Task Planning