I am currently an M.Sc. candidate in Computer Science at Mila/University of Montreal/Robotics and Embodied AI Lab (REAL) under supervision of Prof. Liam Paull. I have also been fortunate to collaborate with Dr. Anqi Xu on my current and past research works. My current research focus is to develop learning framework for solving semantic visual navigation task. Most recently, I just finished working on Lifelong Topological Visual Navigation. Prior to this, I spent considerable time researching the topic of adversarial attacks and defenses, where I published PAT (ICCV’19), MJSMA (MAIS’18), and a review paper (pre-print). I was also lucky to have been concretely introduced to the research world by working with Prof. Jeff Orchard in the Neurocognitive Computing Lab during my undergrad days. In general, I love working on various aspects on building robots, whether it is hardware or software - whatever makes a great robot great. I also enjoy presenting my work, so please feel free to let me know if you want to learn more about it!

CV / Blog

When I am not doing research, I like to play music (mainly acoustic and electric guitars), make educational videos, read books, write blog posts, and go for a hike. I also recently started to explore the creative side of 3D modelling and animation, here is my coffee + donut:

Note: the coffee + donut were created from scratch, and the textures of the wall + table + ground plane are from Poliigon.

Featured Publications

Please see my Google Scholar page for the complete list.

 Lifelong Topological Visual Navigation
 Rey Reza Wiyatno, Anqi Xu, Liam Paull
 arXiv, 2021
 Paper / Webpage / Blog
 A learning-based topological visual navigation method with graph update
 strategies that improves lifelong navigation performance over time.
 Our model can also be finetuned and work well in the real world.

 Adversarial Examples in Modern Machine Learning: A Review
 Rey Reza Wiyatno, Anqi Xu, Ousmane Dia, Archy de Berker
 arXiv, 2019
 Paper / Adversarial Attack Blog / Adversarial Defense Blog
 A review of adversarial attack and defense techniques.

 Physical Adversarial Textures That Fool Visual Object Tracking
 Rey Reza Wiyatno, Anqi Xu
 ICCV, 2019
 Paper / Video / Blog
 Fooling object tracker in the real world with inconspicuous-looking textures.

Featured Applied Projects

Please see my CV for the complete list.

 Duckietown: Lane Following with Other Vehicles and Obstacles
 Course Project, AI Driving Olympics, 2019
 Video
 Lane following and collision avoidance using light-weight semantic
 segmentation model and pure pursuit controller.

 Inspeksi: Intelligent Manufacturing Visual Inspection Tool
 Capstone Project
 Winner of Autodesk Canada Capstone Design Award, 2019
 Video
 A low-cost solution for automated visual inspection tool.

 Autonomous Drone Tracking
 Work Project, 2018
 Robot: Parrot Bebop 2
 Video
 Autonomous drone tracking using GOTURN and PID controller.

 Trident ROV Payload
 Work Project, 2016
 Robot: Sofar Trident
 Injection moldable external payload for underwater robot with a custom WiFi
 microcontroller.