Javad Khaghani — accepted AI-conference papers

2018

Analytical Model of Thermal Soaring: Towards Energy Efficient Path Planning for Flying Robots

Javad Khaghani, Mahdiar Nekoui, Rezvan Nasiri, Majid Nili Ahmadabadi

IROS 2018poster

Developing analytical models of efficient locomotion in biology is one of the most interesting goals in bio- inspired robotics. This paper presents a mathematical framework in order to model one of the most energy efficient locomotion types in flying animals; i.e., thermal soaring. Unlike the legged…

Cited by 8 Source ↗Scholar ↗

2018

Natural Dynamics Exploitation of Dynamic Soaring: Towards Bio-Inspired and Energy Efficient Flying Locomotion

Mahdiar Nekoui, Javad Khaghani, Rezvan Nasiri, Majid Nili Ahmadabadi

IROS 2018poster

Albatross has an energy efficient flying pattern (dynamic soaring) among seabirds. This interesting point encourages us to exploit its flying natural dynamics so as to control the flying robots on energy efficient and robust gaits. In doing so, we study the albatross dynamic soaring from analytical…

Cited by 5 Source ↗Scholar ↗