Reprint
Bio-Inspired Robotics
Edited by
October 2018
554 pages
- ISBN978-3-03897-045-3 (Paperback)
- ISBN978-3-03897-046-0 (PDF)
This book is a reprint of the Special Issue Bio-Inspired Robotics that was published in
Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
Modern robotic technologies have enabled robots to operate in a variety of unstructured and dynamically-changing environments, in addition to traditional structured environments. Robots have, thus, become an important element in our everyday lives. One key approach to develop such intelligent and autonomous robots is to draw inspiration from biological systems. Biological structure, mechanisms, and underlying principles have the potential to provide new ideas to support the improvement of conventional robotic designs and control. Such biological principles usually originate from animal or even plant models, for robots, which can sense, think, walk, swim, crawl, jump or even fly. Thus, it is believed that these bio-inspired methods are becoming increasingly important in the face of complex applications. Bio-inspired robotics is leading to the study of innovative structures and computing with sensory–motor coordination and learning to achieve intelligence, flexibility, stability, and adaptation for emergent robotic applications, such as manipulation, learning, and control. This Special Issue invites original papers of innovative ideas and concepts, new discoveries and improvements, and novel applications and business models relevant to the selected topics of ``Bio-Inspired Robotics''. Bio-Inspired Robotics is a broad topic and an ongoing expanding field. This Special Issue collates 30 papers that address some of the important challenges and opportunities in this broad and expanding field.
Format
- Paperback
License
© 2019 by the authors; CC BY license
Keywords
obstacle-aided locomotion; environment perception; snake robots; biped robot; human-like walking; foot rotation; virtual force control; foot placement control; biped robots; center of mass; balance; biped locomotion; multibody biped robots; data foraging; reconnaissance; bio-inspired indirect communication; graph exploration; interruptibility; brachiation; robot; dynamics; swingable rod; rope; inverse kinematics; PSO algorithm; BP neural network; precise localization; puncturing robot; structure design; biped robot; foot mechanism; variable stiffness; rough terrain; bionic legged robots; hydraulic drive unit (HDU); position-based impedance control; sensitivity analysis; oscillatory-type tidal current powered generator; elastic wing; coefficient of lift (Cl); self-induced oscillation; two way Fluid-Structure Interaction (FSI) problem; real-time prediction; Takens’ reconstruction method; human locomotion; synergy; data fusion; multi-gait; linear articulation; novel locomotion; movement efficiency; bipedal robot; bipedal locomotion; rehabilitation; robot review; spherical underwater robot; hydrodynamic analysis; Computational Fluid Dynamics simulation; propulsion system; vectored water-jet thrusters; synthetic nervous systems; muscle control; joint control; inter-leg coordination; cockroach; animat; neuromechanical model; insect locomotion; grasping claws; bionic climbing robot; cross-arranged claw; rough wall surface; finite element analysis; Germinal Center Optimization; Artificial Immune Systems; Evolutionary Computing; neural identification; inverse optimal control; extended kalman filter; jumping spider; jumping robot; omnidirectional jump; redundant DoF; bioinspired control; swarm intelligence; plant-inspired robot; emergent behavior; bio-inspired control; quadruped robot; robot trajectory; CPG; neural network; humanoid; angular momentum; flight phase; upper body; bio-inspired snake robots; multi-objective optimization; particle swarm optimization (PSO); energy efficiency; legged robot; mushroom-shaped adhesive microstructure; adhesion performance; reduced gravity; climbing; transition analysis; global path determination; path planning; biped climbing robot; truss-climbing robot; biped robot; jump; electric actuator; motion planning; the amphibious spherical robot; the lifting and supporting wheel mechanism; sliding locomotion; wheel-legged robot; waypoints tracking; hybrid locomotion; dynamic model; robotic fish; trajectory tracking; biomimetic modeling; fish-like motion; omni-directional mobile robot (OMR); kinematics model; model predictive control; point stabilization; trajectory tracking; shielded drive; power line interference; electrode lead jitter; ECG; EOG; EMG; humanoid robot; bipedal locomotion; optimal control; optimization; actuators; variable stiffness; muscle-like actuators; discrete; control; Series Elastic Actuator (SEA) model; n/a