Practical Exercise on An Autonomous Driving System Using Mobile Devices and IoT Devices for An Agricultural Tractor

The current method of agriculture is expected to make sustainable production difficult due to the effects of a declining and aging workforce.To solve these issues, research and development of smart agriculture technologies, including automated tractor operation, have been underway.We have developed an autonomous driving system for a commercially mini-tractor using mobile and IoT devices to more facilitate the introduction of automated driving technology for tractors.In addition, the exercise was conducted for students to implement and operate this system with an aim of education for robotics engineers.This exercise consists of lectures and development exercises for the system.The demonstration results showed that the students' difficulty level was able to set appropriate difficulty.The results of the rubric also showed that the students improved their proficiency in the algorithms and programming of applications that are fundamental to autonomous driving systems.

Authors

Institutions

Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os12-1
Primary Topic
IoT-based Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Practical Exercise on An Autonomous Driving System Using Mobile Devices and IoT Devices for An Agricultural Tractor

Yuya Nishida, Kazuo Ishii, Daigo Katayama, Shinsuke Yasukawa et al.
Proceedings of International Conference on Artificial Life and Robotics
IoT-based Control Systems
article

Practical Exercise on An Autonomous Driving System Using Mobile Devices and IoT Devices for An Agricultural Tractor

Yuya Nishida, Kazuo Ishii, Daigo Katayama, Shinsuke Yasukawa, Hikaru Sato, S. Masuda, Yuto Nakazuru
article en

Abstract

The current method of agriculture is expected to make sustainable production difficult due to the effects of a declining and aging workforce.To solve these issues, research and development of smart agriculture technologies, including automated tractor operation, have been underway.We have developed an autonomous driving system for a commercially mini-tractor using mobile and IoT devices to more facilitate the introduction of automated driving technology for tractors.In addition, the exercise was conducted for students to implement and operate this system with an aim of education for robotics engineers.This exercise consists of lectures and development exercises for the system.The demonstration results showed that the students' difficulty level was able to set appropriate difficulty.The results of the rubric also showed that the students improved their proficiency in the algorithms and programming of applications that are fundamental to autonomous driving systems.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Kyushu Institute of Technology (JP)
Kitakyushu Foundation for the Advancement of Industry, Science and Technology
Zero hunger
Openalex Percentile: Top 73%
IoT-based Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Practical Exercise on An Autonomous Driving System Using Mobile Devices and IoT Devices for An Agricultural Tractor — Yuya Nishida, Kazuo Ishii, et al. · Proceedings of International Conference on Artificial Life and Robotics (2025) | TGRS Research Map | TGRS