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Computer Science

D-Index
44
Citations
8149
World Ranking
7572
National Ranking
3286

Overview

Andrea L. Thomaz is affiliated with The University of Texas at Austin in the United States. Their research primarily intersects the fields of Computer Science and Engineering with a significant focus on Artificial Intelligence and Control and Systems Engineering. Additional subfields include Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, and Aerospace Engineering.

The main topics of Andrea L. Thomaz's research work cover:

  • Robot Manipulation and Learning
  • Reinforcement Learning in Robotics
  • Model Reduction and Neural Networks
  • AI-based Problem Solving and Planning
  • Speech and dialogue systems
  • Robotics and Sensor-Based Localization
  • Modular Robots and Swarm Intelligence

Their recent publications highlight diverse aspects of robotics, machine learning, and AI-driven system identification. Notable papers include:

  • "Iterative residual tuning for system identification and sim-to-real robot learning," 2020, Autonomous Robots
  • "Modeling and Learning Constraints for Creative Tool Use," 2021, Frontiers in Robotics and AI
  • "Abstraction in data-sparse task transfer," 2021, Artificial Intelligence
  • "Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots," 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Multiparameter Real-World System Identification Using Iterative Residual Tuning," 2021, Journal of Mechanisms and Robotics

Andrea L. Thomaz has frequently collaborated with several researchers across these publications. Frequent coauthors include Tesca Fitzgerald, Ashok K. Goel, Adam Allevato, Mitch Pryor, and Akanksha Saran.

Their work has been published in various venues such as:

  • arXiv (Cornell University)
  • Autonomous Robots
  • Frontiers in Robotics and AI
  • Artificial Intelligence
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Best Publications

  • Effects of nonverbal communication on efficiency and robustness in human-robot teamwork

    C. Breazeal;C.D. Kidd;A.L. Thomaz;G. Hoffman

  • Teachable robots: Understanding human teaching behavior to build more effective robot learners

    Andrea L. Thomaz;Cynthia Breazeal

  • Policy Shaping: Integrating Human Feedback with Reinforcement Learning

    Shane Griffith;Kaushik Subramanian;Jonathan Scholz;Charles Isbell

  • Reinforcement learning with human teachers: evidence of feedback and guidance with implications for learning performance

    Andrea L. Thomaz;Cynthia Breazeal

  • Trajectories and keyframes for kinesthetic teaching: a human-robot interaction perspective

    Baris Akgun;Maya Cakmak;Jae Wook Yoo;Andrea Lockerd Thomaz

  • Robot Learning from Human Teachers

    Sonia Chernova;Andrea L. Thomaz

  • Designing robot learners that ask good questions

    Maya Cakmak;Andrea L. Thomaz

  • Cheese: tracking mouse movement activity on websites, a tool for user modeling

    Florian Mueller;Andrea Lockerd

  • Keyframe-based Learning from Demonstration Method and Evaluation

    Baris Akgun;Maya Cakmak;Karl Jiang;Andrea Lockerd Thomaz

  • Designing Interactions for Robot Active Learners

    Maya Cakmak;Crystal Chao;Andrea L Thomaz

  • Tutelage and socially guided robot learning

    A. Lockerd;C. Breazeal

  • TUTELAGE AND COLLABORATION FOR HUMANOID ROBOTS

    Cynthia Breazeal;Andrew G. Brooks;Jesse Gray;Guy Hoffman

  • Teaching and Working with Robots as a Collaboration

    Cynthia Breazeal;Guy Hoffman;Andrea Lockerd

  • Using perspective taking to learn from ambiguous demonstrations

    Cynthia Breazeal;Matt Berlin;Andrew G. Brooks;Jesse Gray

  • Reinforcement Learning with Human Teachers: Understanding How People Want to Teach Robots

    A.L. Thomaz;G. Hoffman;C. Breazeal

  • Computational Human-Robot Interaction

    Andrea Thomaz;Guy Hoffman;Maya Cakmak

  • Transparent active learning for robots

    Crystal Chao;Maya Cakmak;Andrea L. Thomaz

  • Interactive Task Learning

    John E. Laird;Kevin Gluck;John Anderson;Kenneth D. Forbus

  • An Investigation of Responses to Robot-Initiated Touch in a Nursing Context

    Tiffany L. Chen;Chih-Hung Aaron King;Andrea Lockerd Thomaz;Charles C. Kemp

  • Touched by a robot: an investigation of subjective responses to robot-initiated touch

    Tiffany L. Chen;Chih-Hung King;Andrea L. Thomaz;Charles C. Kemp

  • Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction

    Gerhard Sagerer;Michita Imai;Tony Belpaeme;Andrea Thomaz

Frequent Co-Authors

Maya Cakmak
Maya Cakmak University of Washington
Sonia Chernova
Sonia Chernova Georgia Institute of Technology
Ashok K. Goel
Ashok K. Goel Georgia Institute of Technology
Guy Hoffman
Guy Hoffman Cornell University
C. Karen Liu
C. Karen Liu Stanford University
Aaron F. Bobick
Aaron F. Bobick Washington University in St. Louis
Bilge Mutlu
Bilge Mutlu University of Wisconsin–Madison
Gerhard Sagerer
Gerhard Sagerer Bielefeld University
Aaron D. Ames
Aaron D. Ames California Institute of Technology

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