activity
19972021
most citedSAPA: A Multi-objective Metric Temporal Planner

154 citations · 1.1k across the 66 of their papers we have counts for

collaborators
Showing 2017 · cs.AIShow all

6 papers · 2 filters

cs.AI2017

Recognizing Plans by Learning Embeddings from Observed Action Distributions

Yantian Zha, Yikang Li, Sriram Gopalakrishnan +2

Recent advances in visual activity recognition have raised the possibility of applications such as automated video surveillance. Effective approaches for such problems however requ…

cs.AI2017★ 2 cited

Tweeting AI: Perceptions of Lay vs Expert Twitterati

Lydia Manikonda, Subbarao Kambhampati

With the recent advancements in Artificial Intelligence (AI), various organizations and individuals are debating about the progress of AI as a blessing or a curse for the future of…

cs.AI2017★ 61 cited

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…

cs.AI2017★ 16 cited

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…

cs.AI2017★ 6 cited

Tweeting AI: Perceptions of AI-Tweeters (AIT) vs Expert AI-Tweeters (EAIT)

Lydia Manikonda, Cameron Dudley, Subbarao Kambhampati

With the recent advancements in Artificial Intelligence (AI), various organizations and individuals started debating about the progress of AI as a blessing or a curse for the futur…

cs.AI2017★ 38 cited

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…