Implementation of a BDI driver agent that uses BDI plans for high-level path planning and Reinforcement Learning for low-level control. Environment: f1tenth car and simulator.
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Oct 13, 2020 - Java
Implementation of a BDI driver agent that uses BDI plans for high-level path planning and Reinforcement Learning for low-level control. Environment: f1tenth car and simulator.
A few projects I did in ROS while preparing for my independent study in mLab at Penn.
Simulator for CAD2CAV Project.
Repository for hosting personal submission of F1/10: Autonomous Racing Cars Labs
Common ROS packages shared between the server and the F1Tenth car for CAD2CAV project.
Midterm project for 2021 Fall Robot Navigation
On-board part of Project CAD2CAV: Computer Aided Design for Cooperative Autonomous Vehicles
A collection of CAD2CAV Revit plugins.
A fast particle filter localization algorithm for the MIT Racecar. Uses RangeLibc for accelerated ray casting.
This is the github project for the F1Tenth Independent Study Projects 2021. In this project we want to plan the paths for multi-agent given a prior of an environment like a blueprint of the building’s floor plan.
Racing mpc controller
Solving F1tenth virtual competition using deep reinforcement learning
Learning to race on F1 tracks using Deep Reinforcement Learning
F1TENTH Webcam Data Recording Pipeline
This is the primary code to build F1Tenth Racing Car based on ESP-IDF FreeRTOS. LIDAR sensor is used as the only input device here. These codes are collected from other respositories.
A collection of packages for the F1TENTH platform.
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