A Bio-inspired Approach for UAV Landing and Perching

This paper describes a bio-inspired flight trajectory planning method for a UAV to approach to a target for landing and perching. It also presents the control strategy for a quadrotor UAV to track the desired flight trajectory. The desired flight trajectory is developed based on the bio-behavioral Tau theory which was established from studying the natural motion patterns of animals and human arms approaching to a fixed or moving target for capture. The method offers a fast approaching to the target and a smooth landing on the target because the motion gap is closed with a zero relative velocity and acceleration. A flight dynamics model of the UAV system is developed for simulation based analysis prior to developing a hardware prototype and flight experiment. Simulation results are presented to show the resulting bio-inspired motion trajectories for final approaching and landing, and attitude control.

[1]  Pu Xie Development of a bio-inspired UAV perching system , 2014 .

[2]  Christoph Hürzeler,et al.  A perching mechanism for micro aerial vehicles , 2009 .

[3]  Russ Tedrake,et al.  Experiments in Fixed-Wing UAV Perching , 2008 .

[4]  Ou Ma,et al.  Grasping Analysis of a Bio-Inspired UAV/MAV Perching Mechanism , 2013 .

[5]  Peter I. Corke,et al.  Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor , 2012, IEEE Robotics & Automation Magazine.

[6]  Vijay Kumar,et al.  Design, modeling, estimation and control for aerial grasping and manipulation , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  H. Hecht,et al.  Time-to-contact , 2004 .

[8]  Roger D. Quinn,et al.  A biologically inspired micro-vehicle capable of aerial and terrestrial locomotion , 2009 .

[9]  Marion A. Eppler,et al.  Development of Visually Guided Locomotion , 1998 .

[10]  Farid Kendoul,et al.  Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems , 2012, J. Field Robotics.

[11]  Mark A. Minor,et al.  Avian-inspired passive perching mechanism for robotic rotorcraft , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Farid Kendoul,et al.  Bio-inspired TauPilot for automated aerial 4D docking and landing of Unmanned Aircraft Systems , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  James A. Caviness,et al.  Persistent Fear Responses in Rhesus Monkeys to the Optical Stimulus of "Looming" , 1962, Science.

[14]  B. Frost,et al.  Computation of different optical variables of looming objects in pigeon nucleus rotundus neurons , 1998, Nature Neuroscience.

[15]  Vijay Kumar,et al.  Construction of Cubic Structures with Quadrotor Teams , 2011, Robotics: Science and Systems.

[16]  Mark R. Cutkosky,et al.  Landing and Perching on Vertical Surfaces with Microspines for Small Unmanned Air Vehicles , 2010, J. Intell. Robotic Syst..

[17]  Fred Sir Hoyle,et al.  The Black Cloud , 1957 .

[18]  Aaron M. Dollar,et al.  Grasping from the air: Hovering capture and load stability , 2011, 2011 IEEE International Conference on Robotics and Automation.

[19]  H. Wagner Flow-field variables trigger landing in flies , 1982, Nature.

[20]  David N. Lee,et al.  Plummeting gannets: a paradigm of ecological optics , 1981, Nature.

[21]  D. Regan,et al.  Hitting what one wants to hit and missing what one wants to miss , 2001, Vision Research.

[22]  Vaibhav Ghadiok,et al.  Autonomous indoor aerial gripping using a quadrotor , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[23]  Vijay Kumar,et al.  The GRASP Multiple Micro-UAV Testbed , 2010, IEEE Robotics & Automation Magazine.

[24]  Anthony M. Norcia,et al.  Development of sensitivity to information for impending collision , 1977 .

[25]  Claire J. Tomlin,et al.  Quadrotor Helicopter Trajectory Tracking Control , 2008 .

[26]  Michael F. Land,et al.  Lee's 1976 Paper , 2009 .

[27]  G. Laurent,et al.  Elementary Computation of Object Approach by a Wide-Field Visual Neuron , 1995, Science.

[28]  Mark R. Cutkosky,et al.  Landing, perching and taking off from vertical surfaces , 2011, Int. J. Robotics Res..

[29]  Daniel Mellinger,et al.  Control of Quadrotors for Robust Perching and Landing , 2010 .

[30]  Paul B Rock,et al.  Tau as a potential control variable for visually guided braking. , 2006, Journal of experimental psychology. Human perception and performance.

[31]  Vijay Kumar,et al.  Cooperative Grasping and Transport Using Multiple Quadrotors , 2010, DARS.

[32]  Aaron M. Dollar,et al.  Hovering Stability of Helicopters With Elastic Constraints , 2010 .

[33]  David N. Lee,et al.  VISUAL CONTROL OF VELOCITY OF APPROACH BY PIGEONS WHEN LANDING , 1993 .

[34]  David N. Lee,et al.  A Theory of Visual Control of Braking Based on Information about Time-to-Collision , 1976, Perception.