LEADER 04533nam 2201153z- 450 001 9910557286703321 005 20240107231805.0 035 $a(CKB)5400000000041173 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69061 035 $a(EXLCZ)995400000000041173 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimization of Motion Planning and Control for Automatic Machines, Robots and Multibody Systems 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (266 p.) 311 $a3-03943-060-2 311 $a3-03943-061-0 330 $aThe optimization of motion and trajectory planning is an effective and usually costless approach to improving the performance of robots, mechatronic systems, automatic machines and multibody systems. Indeed, wise planning increases precision and machine productivity, while reducing vibrations, motion time, actuation effort and energy consumption. On the other hand, the availability of optimized methods for motion planning allows for a cheaper and lighter system construction. The issue of motion planning is also tightly linked with the synthesis of high-performance feedback and feedforward control schemes, which can either enhance the effectiveness of motion planning or compensate for its gaps. To collect and disseminate a meaningful collection of these applications, this book proposes 15 novel research studies that cover different sub-areas, in the framework of motion planning and control. 606 $aHistory of engineering & technology$2bicssc 610 $ahumanoid robot 610 $awalk fast 610 $arotational slip 610 $aZMP 610 $agait planning 610 $aquadruped robot 610 $awhole robot control 610 $alocation trajectory 610 $adynamic gait 610 $afin stabilizer 610 $acommand-filtered backstepping 610 $asliding mode control 610 $aprescribed performance 610 $adisturbance observer 610 $aOES 610 $ainertial stability accuracy 610 $alow-speed performance 610 $aspeed observation 610 $adisturbance observation 610 $astate-augmented Kalman filter 610 $acomposed control scheme 610 $afractional calculus 610 $aFOPD controller 610 $aunderwater vehicle 610 $amotion control 610 $amodal analysis 610 $aflexible multibody systems 610 $alinearized models 610 $asix-legged robot 610 $awhole-body motion planning 610 $arugged terrain 610 $asupport 610 $aswing 610 $agesture-based teleoperation 610 $arobotic assembly 610 $aforce feedback 610 $acompliant robot motion 610 $apickup manipulator 610 $aadaptive genetic algorithm 610 $atrajectory optimization 610 $aimproved artificial potential field method 610 $aobstacle avoidance planning 610 $arobust estimation 610 $adynamic model 610 $aunknown but bounded noise 610 $aextended set-membership filter 610 $adynamic balancing 610 $ashaking force balancing 610 $aacceleration control of the center of mass 610 $afully Cartesian coordinates 610 $anatural coordinates 610 $aparallel manipulators 610 $apassive model 610 $abiped walking 610 $aImpact and contact 610 $afriction force 610 $adissipative force 610 $aenergy efficiency 610 $arobot 610 $amotion design 610 $afunctional redundancy 610 $aUR5 610 $ahybrid navigation system 610 $aweighted-sum model 610 $aa heuristic algorithm 610 $apiecewise cubic Bézier curve 610 $amobile robot 615 7$aHistory of engineering & technology 700 $aRichiedei$b Dario$4edt$01324787 702 $aBoscariol$b Paolo$4edt 702 $aRichiedei$b Dario$4oth 702 $aBoscariol$b Paolo$4oth 906 $aBOOK 912 $a9910557286703321 996 $aOptimization of Motion Planning and Control for Automatic Machines, Robots and Multibody Systems$93036299 997 $aUNINA