Student Assistant – Software Development, Autonomous Outdoor Robot Navigation

• Help with software implementation and evaluation tasks
• Implement features in multiple software components such as robot localization, drivers and infrastructure
• Test and evaluate new ideas and promising approaches from research publications and open source releases
• Test and deploy the software on real robots in test environments
• Help with integration of a new remote control system into the track-drive robot CURttrac
• Investigate the use of Visual Odometry in the localization solution

• Valid enrollment at a German university or Hochschule
• Background in Computer Science, Software Engineering, Electrical Engineering, Autonomous Systems or similar
• Some experience with C++ and Linux
• Experience with one or more of the following is a plus: ROS 2, computer vision, point cloud-processing, machine learning, docker, git, Git Lab CI, Grafana, CAN/CANO
  
  pen, Python, Rust
• Enthusiasm for mobile robotics
• Fluent in English or German

Demonstrates expertise in software implementation and evaluation, particularly in mobile robotics, with a strong foundation in C++, Linux, and relevant technologies such as ROS 2 and computer vision. Proficient in testing and deploying software solutions in real-world environments while collaborating effectively in a research-driven setting.

• C++
• Linux
• ROS 2
• Computer Vision
• Mobile Robotics

• C++
• Linux
• Computer Vision
• Pointcloud-Processing
• Machine Learning
• Docker
• Git
• Git Lab CI
• Grafana
• Rust

• Enthusiasm for Mobile Robotics

• Software Implementation
• Robot Localization
• Visual Odometry
• Autonomous Systems
• Electrical Engineering

• ROS 2
• Docker
• Git
• Git Lab CI
• Grafana