My research focuses on the combination or really the integration of locomotion modes to improve the mobility of small scale robotic systems.
Inspiration is achieved through analysis of the integration strategies used by biological organisms where key abstractions can be identified and implemented in the development of these types of integrated locomotion systems.
The benefits of an integrated approach are a smaller and lighter system with high levels of cooperation between the modes all resulting in a higher performance robotic platform.
The integrated approach inherently decreases the number of components and increases their functionality which results in research into specific components of the small scale robotic systems which including: airfoils, actuators, energy storage devices, and etc.
PhD: Mechanicaql Engineering, Carnegie Mellon University, USA, 2017
MS: Mechanical Engineering, Carnegie Mellon University, USA, 2011
BS: Mechanical Engineering, San Diego State University, USA, 2008
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems