PickAClass · 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

16 485 Visual Navigation For Autonomous Vehicles Vnav Fall 2020

2 S998 Marine Autonomy Sensing And Communications Spring 2012

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