Shinsaku Izumi

About

Shinsaku Izumi is a control systems researcher whose work spans multi-robot coordination, biologically inspired control, and underactuated robotic systems. His research sits at a compelling intersection of theoretical control engineering and practical robotics applications, drawing on mathematical frameworks to solve complex coordination and stabilization challenges. Izumi has made notable contributions to multi-robot systems, pioneering chemotaxis-inspired control architectures that enable decentralized robot swarms to achieve coverage and rendezvous tasks by mimicking bacterial navigation behavior — his 2020 paper on this topic has garnered 14 citations, making it his most recognized work. Alongside this, his innovative "robotic mass games" research demonstrates how distributed control algorithms combined with halftone image processing can guide mobile robots to collectively display visual formations, an elegant synthesis of aesthetic and engineering goals. A second major thread in his research addresses underactuated robotic systems, particularly the Acrobot and Pendubot — mechanically challenging platforms with fewer actuators than degrees of freedom. His analyses of swing-down and anti-swing control strategies, including angular momentum-based approaches and optimal gain design, have advanced understanding of nonlinear stabilization in these systems. His work on four-legged robot formation control with discrete-valued inputs further reflects his broad engagement with real-world robotics constraints.

Research Focus

Key Achievements

Top Papers

1. 1
   Multi-Robot Control Inspired by Bacterial Chemotaxis: Coverage and Rendezvous via Networking of Chemotaxis Controllers

   14 citations · 2020
2. 2
   Anti‐Swing control of the Pendubot using damper and spring with positive or negative stiffness

   7 citations · 2021
3. 3
   Halftone Mass Games by Fixed Number of Mobile Robots

   5 citations · 2012
4. 4
   Nonlinear Swing down Control of the Acrobot

   4 citations · 2020
5. 5
   Robotic Mass Games over r-Disk Proximity Networks

   2 citations · 2013
6. 6
   New results of angular momentum based stabilizing control of the Acrobot

   2 citations · 2017
7. 7
   Formation Control of Four-Legged Robots Using Discrete-Valued Inputs

   2 citations · 2021
8. 8
   Nonlinear swing-down control of the Acrobot: Analysis and optimal gain design

   2 citations · 2023
9. 9
   Robotic Mass Games by Distributed Hybrid Controllers

   2 citations · 2012
10. 10
    Performance Analysis of Chemotaxis-Inspired Stochastic Controllers for Multi-Agent Coverage

    2 citations · 2022

Key Collaborators

Contact & Links