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Research Opportunity

Mobile Robotics

[Closed]

Work description

Full automation of internal logistics operations based on mobile robots is often a very difficult goal to achieve and, in certain cases, susceptible to frequent failures. Especially in extremely complex operations, such as loading truck containers with different objects of different geometries, it is a very complex problem and difficult to automate with a total absence of failures. On the other hand, the purely manual operation in cargo transport is associated with several problems, ranging from the fallibility of operators to the appearance of health problems caused by the constant acceleration/deceleration of forklifts or pallet trucks and very repetitive movements that create injuries to the hands and arms. The idea of this work is to create a cockpit for the high-level tele-operation of a set of autonomous mobile robots (forklift trucks, pallet trucks, etc.) where, with the appropriate sensors (mainly cameras), the operator can be remotely get an overview of the workspace and another view similar to what you would have if you were sitting on the forklift. Through the global view, the operator can select on the image (by simply touching or clicking) loads that are in a given location, then select a forklift truck and then a destination for that load, thus assigning a sequence of tasks to it. The AGV, completely autonomously, will try to execute the tasks, automatically calculating the paths and actions to be taken and allowing the operator to switch to another AGV, which will also similarly assign other tasks. So a remote operator can supervise more than a single AGV/Forklift. When an AGV detects a problem that it cannot solve on its own, such as the load being in an unexpected position, or it cannot decide where to place/stack the load at the destination, it will raise an alarm to the remote operator who can switch the forklift to a manual being tele-operated and thus the human operator will solve the problem as if he were sitting on the forklift.

Academic Qualifications

Enrollment in a degree course in Electrical and Computer Engineering, Computer Engineering, or related areas.

Minimum profile required

- The candidate must be enrolled in a degree course;- Experience in C/C++ programming;- Previous work experience in mobile robotics for handling parts/containers.

Preference factors

Knowledge of robotics and ROS; Previous experience developing interfaces using Qt; Previous software development experience using the OpenGL API.

Application Period

Since 03 Jul 2023 to 14 Jul 2023

[Closed]

Centre

Robotics in Industry and Intelligent Systems

Scientific Advisor

Manuel Santos Silva