LearnFlat · AI, Tech & Engineering · Robotics & Automation

Autonomous Navigation & SLAM

Develop algorithms that allow mobile robots to map their environment and navigate autonomously. Focus on Simultaneous Localization and Mapping (SLAM), path planning, and obstacle avoidance.

Autonomous Navigation & SLAM

ROS 2 Self-Driving Robots: Mapping, Localization, and SLAM

State Estimation and Localization for Autonomous Vehicles

Autonomous Flight Systems and Navigation

Kalman Filter Design and Implementation

Sensor Fusion and Non-Linear Filtering for Automotive Systems

AR Development in Unity: Object Placement, Grids, and Intelligent Tracking

Linear Kalman Filters and Target Tracking

Nonlinear Kalman Filters and Parameter Estimation

Particle Filters and State Estimation for Navigation

Visual Navigation for Autonomous Vehicles: Foundations of VNAV

Marine Autonomy: Sensing and Undersea Communications

Ruby Maze Generation: Modifying the Sidewinder Algorithm

Kalman Filtering: Theory, Math, and Practical Applications

Multisensor Data Fusion for Target Detection and State Estimation

Autonomous Aerospace Systems: Control and Trajectory Planning