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Micro air vehicles --- Mobile communication systems --- MAVs (Drone aircraft) --- Micro aerial vehicles --- Micro aircraft --- Drone aircraft

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Drone aircraft. --- Micro air vehicles. --- MAVs (Drone aircraft) --- Micro aerial vehicles --- Micro aircraft --- Drone aircraft --- Drones (Aircraft) --- Pilotless aircraft --- Remotely piloted aircraft --- UAVs (Unmanned aerial vehicles) --- Unmanned aerial vehicles --- Flying-machines --- Vehicles, Remotely piloted --- Airplanes --- Radio control

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The advance in robotics has boosted the application of autonomous vehicles to perform tedious and risky tasks or to be cost-effective substitutes for their - man counterparts. Based on their working environment, a rough classi cation of the autonomous vehicles would include unmanned aerial vehicles (UAVs), - manned ground vehicles (UGVs), autonomous underwater vehicles (AUVs), and autonomous surface vehicles (ASVs). UAVs, UGVs, AUVs, and ASVs are called UVs (unmanned vehicles) nowadays. In recent decades, the development of - manned autonomous vehicles have been of great interest, and different kinds of autonomous vehicles have been studied and developed all over the world. In part- ular, UAVs have many applications in emergency situations; humans often cannot come close to a dangerous natural disaster such as an earthquake, a ood, an active volcano, or a nuclear disaster. Since the development of the rst UAVs, research efforts have been focused on military applications. Recently, however, demand has arisen for UAVs such as aero-robotsand ying robotsthat can be used in emergency situations and in industrial applications. Among the wide variety of UAVs that have been developed, small-scale HUAVs (helicopter-based UAVs) have the ability to take off and land vertically as well as the ability to cruise in ight, but their most importantcapability is hovering. Hoveringat a point enables us to make more eff- tive observations of a target. Furthermore, small-scale HUAVs offer the advantages of low cost and easy operation.

Engineering. --- Control, Robotics, Mechatronics. --- Computer Hardware. --- Computer hardware. --- Ingénierie --- Drone aircraft --- Micro air vehicles --- Vehicles, remotely piloted. --- Roboter --- Control systems. --- Mathematical models. --- Automatic control. --- Roboter. --- Vehicles, remotely piloted --- Unmanned vehicles --- Vehicles --- Radio control --- Remote control --- MAVs (Dome aircraft) --- Micro aerial vehicles --- Micro aircraft --- Drones (Aircraft) --- Pilotless aircraft --- Remotely piloted aircraft --- UAVs (Unmanned aerial vehicles) --- Unmanned aerial vehicles --- Flying-machines --- Vehicles, Remotely piloted --- Airplanes --- Flight control --- Control systems --- Mathematical models --- Automatic control --- MAVs (Drone aircraft)

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The advance in robotics has boosted the application of autonomous vehicles to perform tedious and risky tasks or to be cost-effective substitutes for their - man counterparts. Based on their working environment, a rough classi cation of the autonomous vehicles would include unmanned aerial vehicles (UAVs), - manned ground vehicles (UGVs), autonomous underwater vehicles (AUVs), and autonomous surface vehicles (ASVs). UAVs, UGVs, AUVs, and ASVs are called UVs (unmanned vehicles) nowadays. In recent decades, the development of - manned autonomous vehicles have been of great interest, and different kinds of autonomous vehicles have been studied and developed all over the world. In part- ular, UAVs have many applications in emergency situations; humans often cannot come close to a dangerous natural disaster such as an earthquake, a ood, an active volcano, or a nuclear disaster. Since the development of the rst UAVs, research efforts have been focused on military applications. Recently, however, demand has arisen for UAVs such as aero-robotsand ying robotsthat can be used in emergency situations and in industrial applications. Among the wide variety of UAVs that have been developed, small-scale HUAVs (helicopter-based UAVs) have the ability to take off and land vertically as well as the ability to cruise in ight, but their most importantcapability is hovering. Hoveringat a point enables us to make more eff- tive observations of a target. Furthermore, small-scale HUAVs offer the advantages of low cost and easy operation.

Drone aircraft -- Control systems. --- Drone aircraft -- Mathematical models. --- Micro air vehicles -- Automatic control. --- Micro air vehicles -- Mathematical models. --- Drone aircraft --- Micro air vehicles --- Vehicles, remotely piloted --- Mechanical Engineering --- Military & Naval Science --- Mechanical Engineering - General --- Air Forces --- Law, Politics & Government --- Engineering & Applied Sciences --- Control systems --- Automatic control --- Mathematical models --- Control systems. --- Automatic control. --- Mathematical models. --- MAVs (Dome aircraft) --- Micro aerial vehicles --- Micro aircraft --- Drones (Aircraft) --- Pilotless aircraft --- Remotely piloted aircraft --- UAVs (Unmanned aerial vehicles) --- Unmanned aerial vehicles --- Engineering. --- Computer hardware. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Computer Hardware. --- Flying-machines --- Vehicles, Remotely piloted --- Airplanes --- Flight control --- Radio control --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers

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Currently, the modelling and control of mechatronic and robotic systems is an open and challenging field of investigation in both industry and academia. The book encompasses the kinematic and dynamic modelling, analysis, design, and control of mechatronic and robotic systems, with the scope of improving their performance, as well as simulating and testing novel devices and control architectures. A broad range of disciplines and topics are included, such as robotic manipulation, mobile systems, cable-driven robots, wearable and rehabilitation devices, variable stiffness safety-oriented mechanisms, optimization of robot performance, and energy-saving systems.

Technology: general issues --- bionic mechanism design --- synthesis --- exoskeleton --- finger motion rehabilitation --- super-twisting control law --- robot manipulators --- fast terminal sliding mode control --- semi-active seat suspension --- integrated model --- control --- fuzzy logic-based self-tuning --- PID --- super-twisting --- sliding mode extended state observer --- saturation function --- fuzzy logic --- attenuate disturbance --- pHRI --- variable stiffness actuator --- V2SOM --- friendly cobots --- safety criteria --- human–robot collisions --- underwater vehicle-manipulator system --- motion planning --- coordinated motion control --- inertial delay control --- fuzzy compensator --- extended Kalman filter --- feedback linearization --- CPG --- self-growing network --- quadruped robot --- trot gait --- directional index --- serial robot --- performance evaluation --- kinematics --- hydraulic press --- energy saving --- energy efficiency --- installed power --- processing performance --- space robotics --- planetary surface exploration --- terrain awareness --- mechanics of vehicle–terrain interaction --- vehicle dynamics --- multi-support shaft system vibration control --- combined simulation --- transverse bending vibration --- Smart Spring --- adaptive control --- hydraulics --- differential cylinder --- feedforward --- motion control --- manipulator arm --- trajectory optimization --- “whip-lashing” method --- reduction of cycle time --- trajectory planning --- SolidWorks and MATLAB software applications --- dynamic modeling --- multibody simulation --- robotic lander --- variable radius drum --- impact analysis --- cable-driven parallel robots --- cable-suspended robots --- dynamic workspace --- throwing robots --- casting robot --- redesign --- slider-crank mechanism --- optimization --- synthesis problem --- rehabilitation devices --- six-wheel drive (6WD) --- skid steering --- electric unmanned ground vehicle (EUGV) --- driving force distribution --- vehicle motion control --- maneuverability and stability --- hexapod robot --- path planning --- energy consumption --- cost of transport --- heuristic optimization --- mobile robots --- tractor-trailer --- wheel slip compensation --- gait optimization --- genetic algorithm --- quadrupedal locomotion --- evolutionary programming --- optimal contact forces --- micro aerial vehicles --- visual-based control --- Kalman filter --- n/a --- human-robot collisions --- mechanics of vehicle-terrain interaction --- "whip-lashing" method