Botzheim János
Automated Guided Vehicle for Materials Distributing used in Factory Application


Intézmény: Budapesti Műszaki és Gazdaságtudományi Egyetem
gépészeti tudományok
Pattantyús-Ábrahám Géza Gépészeti Tudományok Doktori Iskola

témavezető: Botzheim János
helyszín (magyar oldal): Bertalan Lajos u. 4-6. D. ép. 403/C
helyszín rövidítés: MOGI

A kutatási téma leírása:

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 to achieve these goals. The key point of this task is to 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

c.) Tasks, main items, necessary time: Literature review about AGVs and related algorithms in the first year. Development of new methods and the necessary hardware suitable for the AGV delivery task in the second year. Testing of the method and its comparison with other methods in the third year. Summary analysis and verification of the developed methodology and its applicability in the fourth year. Publication of 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.

e.) Expected scientific results:
- Development of new methods for Automated Guided Vehicle in delivery task for industrial applications
- 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.

előírt nyelvtudás: english
felvehető hallgatók száma: 1

Jelentkezési határidő: 2021-03-23

Minden jog fenntartva © 2007, Országos Doktori Tanács - a doktori adatbázis nyilvántartási száma az adatvédelmi biztosnál: 02003/0001. Program verzió: 2.2358 ( 2017. X. 31. )