Interested in having an autonomous robot helper in conferences/events, such as Open Day, Christmas Party, etc.? This might be the project for you!
This project will investigate the application of our recent approximate solver for Partially Observable Markov Decision Processes (POMDPs)[1] to one of the physical robots in our lab, namely Hello Robot Stretch 3 for navigation in crowd environment. The work itself will include problem modelling and implementation in simulation and the physical robot. We have a preliminary problem modeling in [1], but there’s definitely room for improvements!
Refernces:
[1] Hoerger, M., M. Sudrajat, and H. Kurniawati. “Vectorized Online POMDP Planning.” arXiv preprint arXiv:2510.27191 (2025). [https://arxiv.org/abs/2510.27191]
Requirements:
- Have a good understanding of basic probability [Must]
- Fluent in programming [Must]
- Experience with ROS2 and physical robot is a plus, though not necessary [Good to have]
- Have received a mark of >=75 in Algorithms (COMP3600/6466) OR Intelligent Robotics course (COMP4620/8620 in 2023 / 2025 OR COMP4680/8650 in 2024) [Good to have]
- Have a GPA >= 6.5/7.0 [Good to have]
If you are interested, please send me an email to schedule a chat, and please send me a copy of your CV and transcript.