Summary
Join our Planning team as a motivated and talented intern to design, develop, and test algorithms that allow autonomous systems to navigate complex environments safely and efficiently.
Requirements
- Existing Students studying in Diploma/Bachelor degree in Computer Science, Engineering, Robotics, or related fields
- Strong programming skills in C++
- Understanding of behavior planning, decision-making frameworks (e.g., finite state machines, behavior trees), or related AI techniques
- Experience with Motion Planning algorithms, such as RRT, RRT*, and other graph-search based algorithms
- Experience with ROS and real-world autonomous systems or robots
- Strong problem-solving skills, curiosity, and the ability to work in a collaborative team environment
Responsibilities
- Assist in developing behavior/motion planning algorithms for autonomous vehicles, including decision-making and trajectory generation
- Implement, test, and validate behavior and motion planning algorithms in simulation environments and/or on vehicles
- Work on optimizing existing behavior/motion planning algorithms for performance, safety, and efficiency
- Collaborate with teams across different domains such as perception, localization, and control to ensure robust integration of planning algorithms
- Analyze test data and simulation results to assess algorithm performance and identify areas for improvement
- Stay up-to-date with the latest research in behavior planning and motion planning and propose innovative solutions to address autonomy challenges
