Virtual Reality
[Closed]
Work description
The complete automation of internal logistics operations based on mobile robots is often a very difficult objective to achieve and, in certain cases, susceptible to frequent failures. Mainly, 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 without failures. On the other hand, purely manual operation in cargo transport has several problems associated with it, ranging from the fallibility of operators to the emergence 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. Therefore, the objective of this work is to create an application that allows high-level teleoperation of a set of autonomous mobile robots (AMR) of the forklift type where, with the appropriate sensors (cameras mainly), the operator can remotely have a general view of the workspace and another view similar to what you would have if you were sitting on the forklift. Using the global view, the operator can select loads in the image that are in a given location, then select a forklift and then a destination for that load, thus assigning a sequence of tasks to it. The AMR, in a completely autonomous way, will try to execute the tasks, automatically calculating the trajectories and actions to be taken and allowing the operator to switch to another AMR, to which it will also assign other tasks in a similar way. This way a remote operator can supervise more than a single AMR stacker. When an AMR detects a problem that it cannot resolve 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. At this point, the application should allow the operator to switch the AMR to a low-level manual teleoperation mode, allowing the human operator to solve the problem as if he were sitting on the forklift.
Academic Qualifications
Master's degree in Electrical and Computer Engineering, Computer Engineering, or related areas. The award of the scholarship assumes that the candidate is a student of a study cycle or a non-degree course, taught at a Higher Education Institution.
Minimum profile required
Experience in C/C++ programming.Previous work experience in the VR field.Robotics knowledge.
Preference factors
Experience working with the Unity framework is valued. Participation in extra-curricular activities linked to robotics is valued. Previous experience of participating in research and development projects is valued. The publication of scientific articles related to the area of work is valued.
Application Period
Since 23 Nov 2023 to 07 Dec 2023
[Closed]
Centre
Robotics in Industry and Intelligent Systems