The goal of this project is to develop and refine a robotic navigation algorithm for Acrylic Robotics’ robotic painting arm, allowing their CoBots to navigate canvas painting effectively. This will involve several different steps for the students, including:

- Researching existing robotic navigation algorithms and technologies.

- Developing a new robotic navigation algorithm that takes into account the specific needs of Acrylic Robotics’ robotic painting arm.

- Testing the new algorithm with the robotic painting arm and making adjustments as needed.

- Optimizing the algorithm for maximum efficiency and accuracy.

By the end of the project, students should demonstrate:

- Understanding of existing robotic navigation algorithms and technologies.

- Development of a new robotic navigation algorithm that takes into account the specific needs of Acrylic Robotics’ robotic painting arm.

- Testing and optimization of the new algorithm with the robotic painting arm.

Final deliverables should include:

- All source code.

- A written report explaining the design process and outcomes.

Our comprehensive training plan for the Autonomous Navigation Student role is thoughtfully structured to provide a thorough and hands-on learning experience. During the onboarding phase, they will receive a comprehensive introduction to our company's mission, values, and the pivotal role they will play in advancing autonomous navigation within our organization. We will provide them with detailed documentation encompassing navigation algorithms, robotics technologies, and technical resources essential for understanding our systems. To foster their development, they will have the privilege of working closely with our experienced team members who will serve as mentors, offering guidance, insights, and practical expertise in autonomous navigation, robotics systems, and artificial intelligence applications. Furthermore, we recognize the value of external perspectives, and the student will have a unique opportunity to connect with external professional mentors specializing in autonomous navigation and robotics. These mentors will provide additional insights and help broaden their knowledge, ensuring a well-rounded skillset in autonomous navigation systems, technological innovation, and industry best practices.