Satoshi Hoshino

About

Satoshi Hoshino is a robotics researcher whose work spans multi-robot coordination, autonomous mobile navigation, and human-robot interaction. His most significant contributions lie in developing intelligent systems for managing multiple robots in complex, real-world environments — from congested manufacturing floors to seaport container terminals and human-populated spaces. Hoshino's most-cited work (31 citations) tackles the critical trade-off between human safety and robot efficiency, proposing artificial potential field methods that allow mobile robots to navigate safely alongside people without sacrificing productivity. His research on multi-robot coordination in congested and bottlenecked systems (28 and 24 citations respectively) has advanced flexible batch manufacturing by addressing how robot teams can dynamically adapt to localized workflow disruptions. Beyond industrial settings, Hoshino has explored autonomous navigation using Monte Carlo Localization with LIDAR and magnetic sensors, patrolling robots that apply Bayesian learning to detect intruders, and deep recurrent neural network-based motion planners for obstacle avoidance in challenging environments. His dynamic partitioning strategies for patrol systems further demonstrate his breadth across both theoretical and applied robotics. With over 180 cumulative citations, Hoshino's body of work represents a sustained and practical contribution to deploying reliable, intelligent robot systems in demanding real-world conditions.

Research Focus

Key Achievements

Top Papers

1. 1
   Safe and efficient motion planning of multiple mobile robots based on artificial potential for human behavior and robot congestion

   31 citations · 2015
2. 2
   Three-port (one incision plus two-port) endoscopic mitral valve surgery without robotic assistance†

   30 citations · 2016
3. 3
   Multi-robot coordination for jams in congested systems

   28 citations · 2013
4. 4
   Multirobot Coordination for Flexible Batch Manufacturing Systems Experiencing Bottlenecks

   24 citations · 2010
5. 5
   Design of an automated transportation system in a seaport container terminal for the reliability of operating robots

   14 citations · 2007
6. 6
   Development of a Flexible and Agile Multi-robot Manufacturing System

   14 citations · 2008
7. 7
   Dynamic Partitioning Strategies for Multi-Robot Patrolling Systems

   13 citations · 2019
8. 8
   Monte Carlo Localization using magnetic sensor and LIDAR for real world navigation

   11 citations · 2013
9. 9
   Discrete Motion Planner based on Deep Recurrent Neural Network for Mobile Robot Obstacle Avoidance in Dead-End Environments

   9 citations · 2022
10. 10
    Patrolling robot based on Bayesian learning for multiple intruders

    8 citations · 2015

Key Collaborators

Contact & Links