email: cyl48 (at) cornell (dot) edu
office: Gates 350Follow @ClaireYLiang
I am a fourth year PhD student in the Department of Computer Science at Cornell University. I like robots. My advisor is Professor Hadas Kress-Gazit and I am part of the Verifiable Robotics Research Group.
I believe that robotics and computer science should be accessible to anyone and everyone.
I am interested in the long term goal of low-cost, robust robots for real-world deployment. However, in the short term, I'm interested in planning with minimal information.
Peer-Reviewed Conference Papers:
Claire Liang, Ross A. Knepper, and Florian T. Pokorny. "No Map, No Problem: A Local Sensing Approach for Navigation in Human-Made Spaces Using Signs". In: IEEE International Conference on Intelligent Robots and Systems (IROS). Las Vegas, United States, October 2020. (link with more data + info to be included post-conference)
Claire Liang, Julia Proft, Erik Andersen, and Ross A. Knepper. "Implicit communication of actionable information in human-AI teams". In: Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI). Honorable Mention. Glasgow, United Kingdom, May 2019.
Ross A. Knepper, Christoforos I. Mavrogiannis, Julia Proft, and Claire Liang. "Implicit communication in a joint action". In: Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI). Best Paper Finalist. Vienna, Austria, March 2017.
Claire Liang, Cheng Perng Phoo, Laasya Renganathan, Yingying Yu, Bharath Hariharan, and Hadas Kress-Gazit "Perceiving Signs for Navigation Guidance in Spaces Designed for Humans". In: Closing the Academia to Real-World Gap in Service Robotics. Proceedings of the Robotics Science and Systems Conference (RSS). Virtual, July 2020.
Claire Liang and Ross A. Knepper. "Minimalist motion planning using global topological guarantees". In: Workshop on Topological Methods in Robot Planning. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). Montréal, Canada, May 2019.
Claire Liang, Julia Proft, and Ross A. Knepper. "Implicature-based inference for socially-fluent robotic teammates". In: Workshop on Mathematical Models, Algorithms, and Human-Robot Interaction. Proceedings of the Robotics Science and Systems Conference (RSS). Cambridge, USA, July 2017.
CS 4750 | Foundations of Robotics [Fall 2018] | Teaching Assistant | (Cornell Computer Science Department Teaching Assistant Award)
CS 4750 | Foundations of Robotics [Fall 2017] | Teaching Assistant
CS 4820 | Analysis of Algorithms [Spring 2017] | Teaching Assistant
CS 4786 | Machine Learning for Data Science [Fall 2016] | Teaching Assistant
Other Things I Do:
Currently President of the Cornell Robotics Graduate Student Organization (AKA Gradbots)
Your resident (non-dairy partaking) milk czar for the Cornell CS Department
A mentor for CUEmpower