Tasks List:

• Paper reviews for WAFR (International Workshop on the Algorithmic Foundations of Robotics) 2024
• EdX course “Self driving car with Duckietown” chapter 1, 7, 8
• Troubleshooting Duckiebots
• Preparing for the science symposium

Progress:

• I was assigned with the paper titled “BOIL: Learning Environment Personalized Information” which introduces the Blackbox Oracle Information Learning (BOIL) process, a scalable method designed to extract valuable insights from the structure of complex environments. We had a elaborate meeting about the paper to decide if the paper was strong accept, accept with revision or reject. We also discussed the other papers, and planned for our future research progress.
• I have started the EdX course, and completed the chapter 1,7,8. In the “Self-Driving Cars with Duckietown” course, the Planning sections cover essential algorithms and graph theory concepts for autonomous vehicle planning and navigation. Planning I introduces the basics, including pathfinding algorithms like A* and Dijkstra’s, as well as motion planning techniques such as Rapidly-exploring Random Trees (RRT) and Probabilistic Roadmaps (PRM). These algorithms help vehicles determine efficient routes and navigate complex environments. Planning II builds on this foundation by exploring graph theory, introducing nodes and edges to model the environment, and covering graph search techniques like Breadth-First Search (BFS), Depth-First Search (DFS), and A* Search, which is crucial for optimal pathfinding.
• I have ran some Duckiebot calibrations to see if everything is working properly. We also set up the the wifi with ihart for the leap symposium.
• We have prepared live demos to show in the symposium.