Mobile Robotics
Work description
In the logistics sector, the overwhelming majority of cargo currently transported is packed on pallets that are usually handled by pallet trucks or forklifts. In recent times, this sector has been experiencing increasing difficulty in recruiting forklift operators, which is why several autonomous vehicle solutions for automated pallet handling are beginning to appear on the market. INESC TEC developed a first prototype of an autonomous forklift, based on a Toyota SWE140 forklift, with the aim of having one of these platforms for testing remote control algorithms, autonomous pallet handling and internal demonstrations of these technologies. Meanwhile, a number of possible improvements to this vehicle have been identified, including (but not limited to) the integration of a system to switch between manual and automatic/autonomous operating modes, the sensing of the steering axis and the lifting axis of the forks and the development/parameterization of a safety and emergency stop system. Thus, the work of this fellowship will involve: • review documentation, mechanical and electrical designs of the existing vehicle; • design of 3D parts to implement new functionalities; • implementation of new components in the robot; • integration with ROS and Ubuntu; • calibrations and mechanical adjustments; • laboratory tests and identification of areas for improvement.
Academic Qualifications
The candidate must be enrolled in a Master's degree in Electrical Engineering, Computer Science or related areas;
Minimum profile required
• The candidate must be enrolled in a Master's degree in Electrical Engineering, Computer Science or related areas;• Experience in hardware, electronic and/or mechanical development;• Candidate must have experience in C/C++ and/or Python programming.
Preference factors
• Participation in extracurricular activities linked to robotics or automation is valued; • Knowledge of microcontroller programming is valued. • ROS programming knowledge and previous practical experience using ROS are valued.
Application Period
Since 26 Sep 2024 to 09 Oct 2024
Centre
Robotics in Industry and Intelligent Systems