Reprint

Bio-Inspired Smart Machines: Structure, Mechanisms and Applications

Edited by
February 2024
336 pages
  • ISBN978-3-0365-7264-2 (Hardback)
  • ISBN978-3-0365-7265-9 (PDF)

This book is a reprint of the Special Issue Bio-Inspired Smart Machines: Structure, Mechanisms and Applications that was published in

Engineering
Summary

By imitating certain characteristics of creatures in  nature, such as grasp, twist, locomotion, or flying, etc., bio-inspired smart machines can engage in certain difficult tasks instead of human beings, such as medical surgery, rapid manufacture and assembly, disaster search and rescue, and scientific investigation, and this has become one of the most interesting areas in the robotics community. This reprint focuses on the latest theoretical and technological advances in bio-inspired smart machines and their structure, mechanisms, and applications. Generally, bio-inspired smart machines can be divided into two categories: rigid machines and soft machines. Rigid machines are composed of different rigid components assembled together, and the joints are mainly driven by electric motors or hydraulic means. In soft machines, the rigid hinges and bolts together with the body structure are replaced by soft components usually made from stimulus-responsive materials that change shape in response to stimuli. The whole reprint consists of eighteen research articles, which include state-of-the-art research on bio-inspired smart machines and their subsystems and components, such as bio-inspired rigid machines, soft machines and robotics, active materials, controls, sensors and actuators, structure and modeling, etc., and can provide a reference for researchers in related fields, including but not limited to robotics, soft robotics, intelligent control, intelligent sensing, etc.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
bio-inspired robot; jumping mechanism; mechanical design; weevil; fabrication of flexible multi-cavity; lamination mold pouring process; bio-inspired adhesive unit; variable stiffness of materials; bio-inspired algorithm; laser cladding; process parameter optimization; multiobjective slime mould algorithm; support vector regression; bionic tracked rescue robot; double rocker arm; obstacle crossing; centroid; bionic particle swarm optimization algorithm; compound continuum robot; concentric tube continuum robot; notched continuum robot; dexterity; helicopter; individual blade control; vibration control; optimal state; genetic algorithm; absolute nodal coordinates formulation (ANCF); plate element; flexible finger; silicone rubber; mechanical deformation; hyper-elastic constitutive model; structural dynamics; impulse response theory; impact load identification; dynamic inverse problem; BP neural network; signal processing method; tuneable stiffness; soft continuum robots; stiffening segment; layer jamming; spine-inspired; resonant walking; preferred gait features; unpowered soft exoskeletons; oxygen consumption; lower limb muscle activity; perching grasping mechanism; fishing line; claw toe; toe bone; toe tip; envelope; hybrid adhesion system; wall-climbing robot; transition control strategy; desktop experimental manipulators; skill acquisition; motion control; motion detection; speech recognition; information fusion; pose recognition; lattice structure; loofah; energy absorption performance; bionic design; relative density; IPMC sensor; multifunctional electronic skin; tactile sensing; damage warning; adjustable synthetic artificial receptors; PDMS; climbing robot; mechanical analysis; spring clamping; sluice gate; wire rope; wheeled movement; worm-like robot; magnetic navigation; pneumatic actuator; structural design; fabrication; characterization; piping application; unmanned driving; trajectory tracking; linear quadratic regulator; improved quantum genetic algorithm; n/a

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