Tasks:

• Develop and implement navigation algorithms for autonomous robots, including

localization, mapping, and path planning.

• Integrate sensor data from various sources (lidar, cameras, IMUs) to improve robot

perception and navigation capabilities.

• Work with simulation tools to validate and debug navigation algorithms in a virtual

environment.

• Collaborate with other team members to ensure overall system integration and

functionality.


Education:

• A bachelor's or master's degree in Robotics, Computer Science, Electrical

Engineering, or a related field is typically required.


Technical Skills:

• Robotics: In-depth understanding of robotic systems, kinematics, dynamics,

and control theory.

• Navigation algorithms: Proficiency in developing localization, mapping, and

path planning algorithms for autonomous robots.

• Sensor fusion: Experience with integrating data from various sensors (such as

lidar, cameras, IMUs) to improve robot perception and navigation.

• Linux, ROS, C++ and Python are your thing and you are familiar with modern

software development processes.

• Simulation tools: Experience with robotic simulation frameworks like Gazebo

or V-REP.

• Problem-solving and analytical skills: Strong analytical and problem-solving

abilities are vital for identifying issues, debugging complex systems, and
proposing effective solutions.

• Communication and teamwork: Excellent verbal and written communication

skills to collaborate with cross-functional teams, document technical
specifications, and present findings effectively.


Experience:

• Robotic navigation: Prior experience in developing navigation systems for

autonomous robots, including localization, mapping, and path planning.

• Sensor integration: Knowledge of integrating sensors like lidar, cameras, or

IMUs into the navigation system.

• ROS: Practical experience with the Robot Operating System (ROS) for robotic

software development and integration.