Graduate Trainee Robotics and Autonomous Navigation

. Write firmware for sensor integration to enable AMR navigation. Sensors include LIDAR, Depth Camera (TOF), KINECT, Accelerometer, etc Integrate sensors and motor controllers by writing embedded firmware to ensure seamless operation of the AMR.

Define, develop, and validate communication protocols between multiple embedded systems used in the AMR to facilitate data exchange and coordination.

Select and implement navigation algorithms to enable efficient and reliable movement of the AMR within indoor environments.

Work with Robot Operating System (ROS) for navigation, utilising its libraries and tools to enhance the AMR's capabilities.

Validate the implemented firmware in the application environment to ensure its functionality and performance meet the project requirements.

Execute integration testing procedures to verify the compatibility and reliability of the developed firmware components and sign off on their readiness for deployment.

Requirements. Expected Knowledge, Skills, and Abilities. Good technical aptitude and communication skills.

Good problem-solving abilities.

Fluent in English. Multilingual is preferable.

Ability to work effectively in cross-functional teams.

Good presentation skills.

Should be able to travel for business purposes.

Should have knowledge about Mutli-agent path planning, Computer vision, Raspberry PI architecture.

Should be Intermediate level in one of the Programming language (Python, C , C++).

Expected Qualification. Completed Bachelor or Master degree with minimum 7.0 CGPA in one of the below disciplines. Electrical / Electronics. Embedded Systems. Robotics. Computer science. Freshers are eligible to