Hidenori Kawamura

About

Hidenori Kawamura is a robotics researcher whose work centers on autonomous aerial robotics, with a particular focus on indoor blimp robots and their intelligent control systems. Over the course of the 2000s, Kawamura made sustained contributions to one of the field's more challenging problems: enabling lighter-than-air robots to navigate, stabilize, and operate autonomously in unstructured indoor environments. His research addressed the inherent difficulties of blimp control — including nonlinear dynamics, susceptibility to airstreams, and high inertia — through the development and refinement of PID-based motion controllers, vision-based positioning systems, and neural network approaches. His most-cited works, the "PID landing orbit motion controller" papers (2006–2007, 21 citations each), established practical frameworks for precision landing and energy-efficient hovering. Kawamura also explored applied dimensions of the technology, including surveillance, monitoring, and interactive entertainment robots capable of responding to human cues. His 2008 work on learning-based landing control for self-recharging blimps demonstrated an early interest in autonomous energy management. Across more than a decade of focused inquiry, Kawamura helped lay important groundwork for the practical deployment of indoor autonomous aerial platforms.

Research Focus

Key Achievements

Top Papers

1. 1
   PID landing orbit motion controller for an indoor blimp robot

   21 citations · 2007
2. 2
   PID landing orbit motion controller for an indoor blimp robot

   21 citations · 2006
3. 3
   Motion Control in Three Dimensional Round System of Blimp Robot

   15 citations · 2006
4. 4
   Motion Design for Indoor Blimp Robot with PID Controller

   13 citations · 2005
5. 5
   Learning landing control of an indoor blimp robot for self-energy recharging

   12 citations · 2008
6. 6
   Vision-based Control of Autonomous Flying Airship Robot

   12 citations · 2003
7. 7
   Development of Autonomous Blimp Robot with Intelligent Control

   11 citations · 2003
8. 8
   Cooperative control of multiple neural networks for an indoor blimp robot

   10 citations · 2009
9. 9
   Vision-based positioning system for indoor blimp robot

   8 citations · 2004
10. 10
    Development of an Entertainment Indoor Blimp Robot Based On Hovering Control

    7 citations · 2005

Key Collaborators

Contact & Links