61 citations · 335 across the 31 of their papers we have counts for
7 papers · 1 filter
Visualizations for an Explainable Planning Agent
Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula +4
In this paper, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human in the loop decision making. Imposing transparency and…
AI Challenges in Human-Robot Cognitive Teaming
Tathagata Chakraborti, Subbarao Kambhampati, Matthias Scheutz +1
Among the many anticipated roles for robots in the future is that of being a human teammate. Aside from all the technological hurdles that have to be overcome with respect to hardw…
Balancing Explicability and Explanation in Human-Aware Planning
Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
Human aware planning requires an agent to be aware of the intentions, capabilities and mental model of the human in the loop during its decision process. This can involve generatin…
An ROS-based Shared Communication Middleware for Plug & Play Modular Intelligent Design of Smart Systems
Tathagata Chakraborti, Siddharth Srivastava, Alessandro Pinto +1
Centralized architectures for systems such as smart offices and homes are rapidly becoming obsolete due to inherent inflexibility in their design and management. This is because su…
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense
Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati
Present attack methods can make state-of-the-art classification systems based on deep neural networks misclassify every adversarially modified test example. The design of general d…
Alternative Modes of Interaction in Proximal Human-in-the-Loop Operation of Robots
Tathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni +1
Ambiguity and noise in natural language instructions create a significant barrier towards adopting autonomous systems into safety critical workflows involving humans and machines.…
Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy
Tathagata Chakraborti, Sarath Sreedharan, Yu Zhang +1
When AI systems interact with humans in the loop, they are often called on to provide explanations for their plans and behavior. Past work on plan explanations primarily involved t…