Related Experiment Video
Updated: May 29, 2026

09:00
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
Published on: December 19, 2016
First controlled vertical flight of a biologically inspired microrobot
Néstor O Pérez-Arancibia1, Kevin Y Ma, Kevin C Galloway
1School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA. nperez@seas.harvard.edu
Bioinspiration & Biomimetics
|September 1, 2011
Summary
Researchers developed a new altitude control system for flying microrobots. This two-stage approach uses system identification and a novel controller design for improved vertical flight and autonomy.
Area of Science:
- Robotics
- Aerospace Engineering
- Bio-inspired Engineering
Background:
- Microrobots offer potential for diverse applications but face challenges in autonomous flight control.
- Precise altitude control is critical for the functionality and mission success of flying microrobots.
Purpose of the Study:
- To present experimental results and a methodology for achieving robust altitude control in a flying microrobot.
- To demonstrate a two-stage approach for designing a vertical flight controller for bio-inspired microrobots.
Main Methods:
- System identification of key microrobot subsystems was conducted using a static flapping experimental setup.
- A novel controller was designed by treating an exciting signal as an integral subsystem of the microrobot.
- The controller design leveraged data obtained from the static flapping experiments for vertical flight applications.
Main Results:
- Experimental validation of the proposed two-stage control system for microrobot altitude.
- Successful implementation of a controller designed through system identification and novel subsystem integration.
- Demonstrated progress towards autonomous vertical flight capabilities in bio-inspired microrobots.
Conclusions:
- The presented methodology provides a viable pathway for enhancing altitude control in flying microrobots.
- The integration of system identification and a novel controller design is effective for autonomous flight.
- This research represents a significant advancement in the pursuit of fully autonomous bio-inspired flying microrobots.

