GET THE APP

Snakes and geckos on a complex plane
..

Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Snakes and geckos on a complex plane


2nd World Congress on Automation and Robotics

June 13-15, 2016 Philadelphia, USA

Hamid Marvi

Arizona State University, USA

Scientific Tracks Abstracts: Adv Robot Autom

Abstract :

Locomotion emerges from effective interactions with aerial, aquatic, or terrestrial environments. The majority of terrestrial terrain experienced by search-and-rescue or exploratory robots is flowing ground and is often composed of granular media. However, the lack of force models for granular environments has resulted in robotic systems that perform poorly on sandy hills. In contrast, many animal species and particularly snakes are highly versatile and remarkably successful at maneuvering on granular media. Thus, they can serve as sources of inspiration for transportation and robotic systems to traverse complex granular environments. In this talk, a series of experiments that help us understand the physics of sidewinder snakes� interactions with a granular environment are presented. We found a control template for sidewinding on sandy inclines: The use of two orthogonal waves whose relative amplitudes are modulated is the key to successful climbing on sand. Next, the first snake robot capable of climbing sandy hills benefitting from this control template is demonstrated. Finally, my current research activities on developing structured active or passive elastomeric surfaces for crawling robots to help them interact more effectively with their terrestrial environments are discussed. Specifically, several active and passive mechanisms for the control of fibrillar friction and adhesion are presented. Using these mechanisms, we can readily control fibrillar friction in any planar direction and also take a major step toward the maximal adhesion of spatular elastomeric micro-fiber adhesives. The findings of these studies will result in the development of adaptive attachment structures and control methods for effective all-terrain search-and-rescue and exploratory robots.

Biography :

Hamid Marvi is an Assistant Professor of Mechanical and Aerospace Engineering at Arizona State University. Previously, he was a Postdoctoral Fellow at Carnegie Mellon University (2014-2015) and at Georgia Institute of Technology (2013-2014). He received his PhD in Mechanical Engineering from Georgia Tech in 2013. His work has been published in several scientific journals such as Science and has received attention from popular media such as New York Times, Los Angles Times, Washington Post, and BBC. His research aims to study fundamental physics behind interactions of biological systems with their surrounding solid, granular, and fluidic environments. Utilizing biological insights derived from these studies, he would like to develop bio-inspired robotic systems and programmable interfacial structures for search and rescue, exploratory, and medical applications.

Email: hmarvi@asu.edu

Google Scholar citation report
Citations: 1275

Advances in Robotics & Automation received 1275 citations as per Google Scholar report

Advances in Robotics & Automation peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward