Indoor Autonomous Robot Navigation Development
Budget: $100 – $300 SGD
I am searching for an expert with a depth of understanding in developing autonomous navigation for mobile robots using Deep Reinforcement Learning (DRL) and LIDAR data.
Here are the project goals:
- Real-time mapping and localization: The robot needs to be able to understand its environment in real-time by creating and updating a map of its surroundings.
- Obstacle avoidance and path planning: It should be proficient in navigational decision-making to identify and avoid obstructions while effectively charting out its path.
- Efficient navigation and movement: The robot should operate smoothly and proficiently, with minimal redundancies and maximum efficiency in its paths.
Moreover, I'll provide a guide and a base GitHub repo, but will need you to skillfully integrate and customize the project according to requirements. I’m flexible regarding hardware choices and would appreciate suggestions.
As for the environment, while it’s an indoor simulation, your solutions should be versatile enough to apply to various settings such as residential, commercial, or industrial.
Ideal Skills and Experience:
- Proficiency in DRL and LIDAR technologies
- Experience in Robot Operating Systems (ROS)
- Knowledge of various hardware platforms suitable for mobile robots
- Excellence in integrating and customizing GitHub repos
- Knowledge of various indoor environments for navigation simulations
Here are the project goals:
- Real-time mapping and localization: The robot needs to be able to understand its environment in real-time by creating and updating a map of its surroundings.
- Obstacle avoidance and path planning: It should be proficient in navigational decision-making to identify and avoid obstructions while effectively charting out its path.
- Efficient navigation and movement: The robot should operate smoothly and proficiently, with minimal redundancies and maximum efficiency in its paths.
Moreover, I'll provide a guide and a base GitHub repo, but will need you to skillfully integrate and customize the project according to requirements. I’m flexible regarding hardware choices and would appreciate suggestions.
As for the environment, while it’s an indoor simulation, your solutions should be versatile enough to apply to various settings such as residential, commercial, or industrial.
Ideal Skills and Experience:
- Proficiency in DRL and LIDAR technologies
- Experience in Robot Operating Systems (ROS)
- Knowledge of various hardware platforms suitable for mobile robots
- Excellence in integrating and customizing GitHub repos
- Knowledge of various indoor environments for navigation simulations