Aaquib Tabrez

According to our database1, Aaquib Tabrez authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Recency Bias in Task Performance History Affects Perceptions of Robot Competence and Trustworthiness.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Autonomous Policy Explanations for Effective Human-Machine Teaming.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Autonomous Justification for Enabling Explainable Decision Support in Human-Robot Teaming.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Effective Human-Machine Teaming through Communicative Autonomous Agents that Explain, Coach, and Convince.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Descriptive and Prescriptive Visual Guidance to Improve Shared Situational Awareness in Human-Robot Teaming.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
One-shot Policy Elicitation via Semantic Reward Manipulation.
CoRR, 2021

Asking the Right Questions: Facilitating Semantic Constraint Specification for Robot Skill Learning and Repair.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2nd Edition of Solutions for Socially Intelligent HRI in Real-World Scenarios (SSIR-HRI).
Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

2020
Automated Failure-Mode Clustering and Labeling for Informed Car-To-Driver Handover in Autonomous Vehicles.
CoRR, 2020

2019
Improving Human-Robot Interaction Through Explainable Reinforcement Learning.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

Explanation-Based Reward Coaching to Improve Human Performance via Reinforcement Learning.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019


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