Litcius/Paper detail

Enabling Dynamic Behaviors With Aerodynamic Drag in Lightweight Tails

Joseph Norby, Jun Yang Li, Cameron Selby, Amir Patel, Aaron M. Johnson

2021IEEE Transactions on Robotics32 citationsDOI

Abstract

Many agile legged animals employ lightweight, furry tails to regulate orientation during running, leaping, and turning. Most robots attempting the same tasks either lack a tail or employ one with high inertia, which can induce impractical payload and energy costs. Inspired by nature's solution to this tradeoff, we explore the use of aerodynamic drag tails in reorientation tasks. In this article, we present a model of the aerodynamic drag and from this derive a metric that allows for direct comparison between aerodynamic and inertial tails. Motivated by this model, we construct a tail to maximize this effectiveness while minimizing inertia. We demonstrate the utility of this tail for two dynamic behaviors executed on a quadrupedal robot. First, in aerial reorientation the robot achieves a 90 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">°</sup> rotation within one body length of fall at the same performance as an inertial tail but with just 37% of the normalized inertia. Second, the forward acceleration of the robot is improved by 12% despite increasing the system mass by 10% over a tailless version. These results show that aerodynamic drag can provide significant control authority for a robot while decreasing the payload and energy cost.

Topics & Concepts

Payload (computing)AerodynamicsDragAerodynamic dragInertiaRobotAccelerationComputer scienceInertial frame of referenceControl theory (sociology)SimulationAerospace engineeringArtificial intelligenceEngineeringPhysicsClassical mechanicsComputer networkControl (management)Network packetRobotic Locomotion and ControlBiomimetic flight and propulsion mechanismsHuman Motion and Animation