Bulletin of the American Physical Society
APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020; Denver, Colorado
Session W22: Robophysics III
8:00 AM–11:00 AM,
Friday, March 6, 2020
Room: 303
Sponsoring
Unit:
DBIO
Chair: Nick Gravish, University of California, San Diego
Abstract: W22.00007 : Simply controlled 1DOF adaptive soft robotic fish with multiple swimming behaviors
Presenter:
Bangyuan Liu
(Mechanical Engineering, Georgia Inst of Tech)
Authors:
Bangyuan Liu
(Mechanical Engineering, Georgia Inst of Tech)
Daniel I Goldman
(Mechanical Engineering, Georgia Inst of Tech)
Frank L. Hammond III
(Mechanical Engineering, Georgia Inst of Tech)
Research in robotic grasping and soft machines has demonstrated that the use of “smart” mechanical structures in robotic systems can enable complex behaviors in dynamically changing, uncertain environments without the need for complicated, low-level control strategies. Upon that premise, we designed an 1DOF simply controlled robotic fish to explore the ability to achieve different locomotion patterns and passively generate adaptive swimming behaviors, simply by changing the servo’s output parameters. This 1-DOF, cable-driven robotic fish mimics the cascaded skeletal structure of soft spine tissue and hard spine bone seen in many fish species using a series of rigid segments and elastic joints. By changing the frequency of actuator motion, the robotic fish can not only change its lateral swimming pattern from oscillatory (2.3cm/s) to undulatory (11.0cm/s), but also change swimming direction from forward to backward and steering by biasing servo sweeping offset. Preliminary tests also show that the robot can swim downward to 7m successfully. In addition, the soft body helps the fish passively navigate through gaps and around obstacles without any feedback control, greatly enhancing the locomotion robustness in complex, cluttered environments.
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