Connor Brooks
PhD, Comp Sci '22 • IRON Lab
Computer Science
connor.brooks@colorado.edu

As a PhD student in computer science, Connor Brooks worked with Dan Szafir in the IRON Lab. He is interested in applying robotic planning and machine learning to create safer and more fluid interactions in scenarios involving humans and robots. His current research is focused on creating collaborative robots that interact smoothly with human partners by interpreting multimodal communication.

 

Publications

  • Connor Brooks and Daniel Szafir. (2020). Visualization of Intended Assistance for Acceptance of Shared Control. In the Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020). Las Vegas, Nevada. doi: 10.1109/IROS45743.2020.9340964.
  • Brooks, Connor and Szafir, Daniel. 2019. Building Second-Order Mental Models for Human-Robot Interaction. In Proceedings of the Association for the Advancement of Artificial Intelligence Fall Symposium Series (AI-HRI '19), ArXiv preprint arXiv:1909.06508. (Washington, DC – Nov. 7-9, 2019). DOI: 10.13140/RG.2.2.32117.73444.
  • Connor Brooks and Dan Szafir. 2019. Balanced Information Gathering and Goal-Oriented Actions in Shared Autonomy.  In ACM/IEEE '19: The 14th Annual International Conference on Human-Robot Interaction (HRI'19), (Daegu, South Korea – March 11-14, 2019). DOI: 10.1109/HRI.2019.8673192.
  • Connor Brooks, Madhur Atreya, and Daniel Szafir. 2018. Proactive Robot Assistants for Freeform Collaborative Tasks Through Multimodal Recognition of Generic Subtasks. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018). DOI: https://dx.doi.org/10.1109/iros.2018.8594180 (Madrid, Spain – Oct. 1-5, 2018).

 

Member of the IRON Lab