Thesis topic proposal
János Botzheim
Automated Guided Vehicle for Material Distribution used in Factory Application


Institute: Eötvös Loránd University, Budapest
computer sciences
Doctoral School of Informatics

Thesis supervisor: János Botzheim
Location of studies (in Hungarian): Department of Artificial Intelligence
Abbreviation of location of studies: MITsz

Description of the research topic:

a.) Preliminaries: Industry has an important need for improving productivity and decreasing used time for production processes. Automation and autonomous vehicle are the solutions of this task that can be applied to production processes. The automation of the transportation of raw materials or equipment task is one of the main challenges of this situation. This can be solved by improving the methodology and reducing the time for its process by developing automated guided vehicles (AGV) to achieve these goals. The key point of this task is to create such algorithms and software solutions which control the vehicle to the delivery part from store to production lines and to realize communication between human and robot for materials and tools requesting tasks.

b.) Aim of research:
- To design and develop AGV for delivery raw materials and tools for production lines from store
- To develop new methodology for controlling AGV to achieve the tasks
- Development of software methods and algorithms of AGVs

c.) Tasks, main items, necessary time: Literature review of the AGVs, the algorithms related to their control and the technologies included in the algorithms in the first year. Development of the necessary hardware for the AGV for transport tasks and the design of software solutions to control the AGV in the second year. Testing and comparison of the software solution with other methods in the third year. Summary analysis and verification of the developed software solution (and hardware solution) and its applicability in the fourth year. Publication of the results from the middle of the third year.

d.) Required equipment:
The task requires a complete set of (both electronical and mechanical) components suitable for robot building. In terms of electronics parts the main components are the computing units (SBC [RaspberryPi] and its necessary accessories and a microcontroller), sensors (RaspyCam, IMU, LIDAR), supplementary units (motor drivers, converters, battery, etc.) and the motors (both DC and servo motors). Regarding to the mechanical parts the mechanical frame, wheels and further additional parts (such as nuts and bolts) are needed. After the completion of hardware development further equipment is not required according to current plan.

e.) Expected scientific results:
- Development of new methods for Automated Guided Vehicle in delivery task for industrial applications
- Development of new algorithms for AGVs
- Achieve efficient (fast and accurate) results in AGV delivery task
- Achieve and demonstrate better results than other existing methods in the literature

f.) References:

T. Bódis, J. Botzheim: Bacterial Memetic Algorithms for Order Picking Routing Problem with Loading Constraints. Expert Systems With Applications, Vol. 105, pp.196–220, 2018.

J. Botzheim, Y. Toda, N. Kubota: Bacterial memetic algorithm for simultaneous optimization of path planning and flow shop scheduling problems. Artificial Life and Robotics, Vol. 17, pp.107–112, 2012.

J. Botzheim, Y. Toda, N. Kubota: Bacterial memetic algorithm for offline path planning of mobile robots. Memetic Computing, Vol. 4, pp.73–86, 2012.

G. Wu and X. Sun: AGV Task Distribution Study. Journal of Physics: Conference Series, Volume 1486, 2019 4th International Seminar on Computer Technology, Mechanical and Electrical Engineering (ISCME 2019) 13-15 December 2019, Chengdu, China.

R. Patricio and A. Mendes: Consumption Patterns and the Advent of Automated Guided Vehicles, and the Trends for Automated Guided Vehicles. Curr Robot Rep (2020).

J. Ruiz-Carrizal, P. Orta, A. Vargas-Martínez, P. Urbina, R. A. Ramirez-Mendoza: Smart AGV development and testing, Conference: Virtual Concept Workshop 2020 - SMART 4.0: Technology and Innovation Disruption At: Monterrey, Mexico, 2020.

P. Dharmasiri, I. Kavalchuk, M. Akbari: Implementation Traffic Control Algorithm for Multi-AGV System. Conference: 9th International Conference on Operations and Supply Chain Management (OSCM) At: Ho Chi Minh City, Vietnam, 2019.

T. Sun, Z. Wang, Q. Li: A medical garbage bin recycling system based on AGV. RICAI 2019: Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence. 220-225, 2019.

Required language skills: angol
Recommended language skills (in Hungarian): angol
Number of students who can be accepted: 1

Deadline for application: 2023-05-31

All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )