An Integrated Mechanical Intelligence and Control Approach Towards Flight Control of Aerobat

Our goal in this work is to expand the theory and practice of robot locomotion by addressing critical challenges associated with the robotic biomimicry of bat aerial locomotion. Bats are known for their pronounced, fast wing articulations, e.g., bats can mobilize as many as forty joints during a single wingbeat, with some joints reaching to over one thousand degrees per second in angular speed. Copying bats flight is a significant ordeal, however, very rewarding. Aerial drones with morphing bodies similar to bats can be safer, agile and energy efficient owing to their articulated and soft wings. Current design paradigms have failed to copy bat flight because they assume only closed-loop feedback roles and ignore computational roles carried out by morphology. To respond to the urgency, a design framework called Morphing via Integrated Mechanical Intelligence and Control (MIMIC) is proposed. In this paper, using the dynamic model of Northeastern University's Aerobat, which is designed to test the effectiveness of the MIMIC framework, it will be shown that computational structures and closed-loop feedback can be successfully used to mimic bats stable flight apparatus.

[1]  Soon-Jo Chung,et al.  Describing Robotic Bat Flight with Stable Periodic Orbits , 2017, Living Machines.

[2]  Peter Fankhauser,et al.  Perception-less terrain adaptation through whole body control and hierarchical optimization , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

[3]  Helmut Hauser,et al.  The role of feedback in morphological computation with compliant bodies , 2012, Biological Cybernetics.

[4]  Hao Liu,et al.  Flexible flapping wings with self-organized microwrinkles , 2015, Bioinspiration & biomimetics.

[5]  Darwin G. Caldwell,et al.  On-line and on-board planning and perception for quadrupedal locomotion , 2015, 2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA).

[6]  Soon-Jo Chung,et al.  From Rousettus aegyptiacus (bat) landing to robotic landing: Regulation of CG-CP distance using a nonlinear closed-loop feedback , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[7]  Joseph W Bahlman,et al.  Design and characterization of a multi-articulated robotic bat wing , 2013, Bioinspiration & biomimetics.

[8]  Alireza Ramezani,et al.  Trajectory planning for a bat-like flapping wing robot , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[9]  Jonas Buchli,et al.  Evaluating Direct Transcription and Nonlinear Optimization Methods for Robot Motion Planning , 2015, IEEE Robotics and Automation Letters.

[10]  Darwin G. Caldwell,et al.  Trajectory and foothold optimization using low-dimensional models for rough terrain locomotion , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[11]  Carlos Mastalli,et al.  Simultaneous Contact, Gait, and Motion Planning for Robust Multilegged Locomotion via Mixed-Integer Convex Optimization , 2017, IEEE Robotics and Automation Letters.

[12]  Jian Chen,et al.  Quantifying the complexity of bat wing kinematics. , 2008, Journal of theoretical biology.

[13]  Ioannis Pavlidis,et al.  Urban surveillance systems: from the laboratory to the commercial world , 2001, Proc. IEEE.

[14]  Marco Hutter,et al.  Gait and Trajectory Optimization for Legged Systems Through Phase-Based End-Effector Parameterization , 2018, IEEE Robotics and Automation Letters.

[15]  J Colorado,et al.  Corrigendum: Biomechanics of smart wings in a bat robot: morphing wings using SMA actuators , 2012, Bioinspiration & biomimetics.

[16]  Soon-Jo Chung,et al.  Lagrangian modeling and flight control of articulated-winged bat robot , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[17]  Russ Tedrake,et al.  Planning robust walking motion on uneven terrain via convex optimization , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

[18]  Alireza Ramezani,et al.  Enforcing nonholonomic constraints in Aerobat, a roosting flapping wing model , 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

[19]  Keun-Chang Kwak,et al.  A Trends Analysis of Image Processing in Unmanned Aerial Vehicle , 2014 .

[20]  Alireza Ramezani.  Towards biomimicry of a bat-style perching maneuver on structures: the manipulation of inertial dynamics , 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

[21]  Carlos Mastalli,et al.  Passive Whole-Body Control for Quadruped Robots: Experimental Validation Over Challenging Terrain , 2018, IEEE Robotics and Automation Letters.

[22]  Twan Koolen,et al.  Design of a Momentum-Based Control Framework and Application to the Humanoid Robot Atlas , 2016, Int. J. Humanoid Robotics.

[23]  Akira Azuma,et al.  The Biokinetics of Flying and Swimming , 1992 .

[24]  Alireza Ramezani,et al.  Computational Structure Design of a Bio-Inspired Armwing Mechanism , 2020, IEEE Robotics and Automation Letters.

[25]  Soon-Jo Chung,et al.  Reducing Versatile Bat Wing Conformations to a 1-DoF Machine , 2017, Living Machines.

[26]  Soon-Jo Chung,et al.  A biomimetic robotic platform to study flight specializations of bats , 2017, Science Robotics.

[27]  Soon-Jo Chung,et al.  Synergistic Design of a Bio-Inspired Micro Aerial Vehicle with Articulated Wings , 2016, Robotics: Science and Systems.

[28]  Soon-Jo Chung,et al.  Optimizing the structure and movement of a robotic bat with biological kinematic synergies , 2018, Int. J. Robotics Res..

[29]  Soon-Jo Chung,et al.  Nonlinear Flight Controller Synthesis of a Bat-Inspired Micro Aerial Vehicle , 2016 .

[30]  Timothy Bretl,et al.  Testing Static Equilibrium for Legged Robots , 2008, IEEE Transactions on Robotics.

[31]  David Francis,et al.  FAA UAS Center of Excellence task A4: UAS ground collision severity evaluation. , 2017 .

[32]  M. Dickinson,et al.  The control of flight force by a flapping wing: lift and drag production. , 2001, The Journal of experimental biology.

[33]  Enrico Motta,et al.  Robot–City Interaction: Mapping the Research Landscape—A Survey of the Interactions Between Robots and Modern Cities , 2019, International Journal of Social Robotics.