The goal is to obtain a lightweight policy that can run in real time on the drone to avoid obstacles and reach a goal. We will look into SoTA VLA models, RL models, and diffusion policies, and test how they run. We will set up large-scale training data and train our own models.
- Strong programming
- Strong communication, collaboration, organization, and planning
- Proactive and fast self-learner
- Familiarity with simulation software (IsaacSim, AirSim, Gazebo)
- Familiarity with machine learning: PyTorch
- Familiarity with software: ROS2, Python, C++, Linux, Bash, Git
- Learn and strengthen the skills above
- Understand the full pipeline required to develop an intelligent robot from start to finish
- Gain hands on experience with drones
Not a hard limit. We care more about talent and potential.