Noboru Noguchi

About

Noboru Noguchi is a pioneering researcher in agricultural robotics and autonomous systems, primarily affiliated with Hokkaido University, where he has spent decades transforming how machines interact with farming environments. His work spans autonomous navigation, multi-robot coordination, path planning, and human safety detection — collectively redefining the boundaries of precision agriculture. Among his most influential contributions is the development of an autonomous navigation system using two-dimensional laser scanning in orchard settings (177 citations), demonstrating that complex, unstructured agricultural environments could be navigated reliably without human input. His master–slave robot system for farm operations (139 citations) introduced cooperative robotic frameworks that laid conceptual groundwork for his later leader–follower tractor systems (69 citations) and multi-robot field platforms (81 citations). Early work applying neural networks and genetic algorithms to mobile robot path planning (96 citations) highlighted his forward-thinking approach even in the 1990s. His research extends to harvesting robotics, including end-effectors for pumpkins and optimized path planning for robot combine harvesters. A comprehensive 2020 review of autonomous agricultural vehicles (92 citations) consolidates his legacy as one of the field's most authoritative and prolific voices, with a body of work that has measurably accelerated the global adoption of farm automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Development of an Autonomous Navigation System using a Two-dimensional Laser Scanner in an Orchard Application

   177 citations · 2006
2. 2
   Development of a master–slave robot system for farm operations

   139 citations · 2004
3. 3
   Path planning of an agricultural mobile robot by neural network and genetic algorithm

   96 citations · 1997
4. 4
   A review of autonomous agricultural vehicles (The experience of Hokkaido University)

   92 citations · 2020
5. 5
   Development of an Agricultural Mobile Robot using a Geomagnetic Direction Sensor and Image Sensors

   85 citations · 1997
6. 6
   Development of a multi-robot tractor system for agriculture field work

   81 citations · 2017
7. 7
   Leader–follower system using two robot tractors to improve work efficiency

   69 citations · 2016
8. 8
   Human detection for a robot tractor using omni-directional stereo vision

   56 citations · 2012
9. 9
   Pumpkin harvesting robotic end-effector

   53 citations · 2020
10. 10
    Optimum harvesting area of convex and concave polygon field for path planning of robot combine harvester

    50 citations · 2019

Key Collaborators

Contact & Links