Multi-Agent Reinforcement Learning for Exploration, with custom Physics Simulator from scratch
Deep Learning, ROS2/ROS, C++, PyTorch, SLAM, Simulation, Motion Planning, Turtlebot
This Post is under construction 🛠️
Building a perfect portfolio from the ground up is a demanding process.
Over the coming weeks, I will be adding more information about my personal and professional projects.
If you’re interested, please check back on July 30th, 2024.
Your curiosity is greatly appreciated :)
In the meanwhile, the posts on:
- Search-and-Rescue Robot Dog: Autonomous Exploration and Visual SLAM with Unitree Go1,
- Complete Extended-Kalman-Filter SLAM Pipeline in C++ from Scratch,
- Dexterous Manipulation through Virtual Reality,
- Optimized Torques for Load Carrying,
- Dancing Hexapod - Full SE3 Body Pose Control,
- Navigation and Kalman Filter Localization of Self Driving Car,
- Mobile/Whole-body Manipulation with KUKA youBot,
- Legged Robots for Object Manipulation: A Review,
- TeleOperation of Robot Swarms,
- Home Automation with Clap Sequence Control,
- Robot playing T-Rex Game, and
- Maze Solver
are complete and ready for viewing!