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Optimization of Motion Planning and Control for Automatic Machines, Robots and Multibody Systems

The 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, motio...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
humanoid robot
walk fast
rotational slip
ZMP
gait planning
quadruped robot
whole robot control
location trajectory
dynamic gait
fin stabilizer
command-filtered backstepping
sliding mode control
prescribed performance
disturbance observer
OES
inertial stability accuracy
low-speed performance
speed observation
disturbance observation
state-augmented Kalman filter
composed control scheme
fractional calculus
FOPD controller
underwater vehicle
motion control
modal analysis
flexible multibody systems
linearized models
six-legged robot
whole-body motion planning
rugged terrain
support
swing
gesture-based teleoperation
robotic assembly
force feedback
compliant robot motion
pickup manipulator
adaptive genetic algorithm
trajectory optimization
improved artificial potential field method
obstacle avoidance planning
robust estimation
dynamic model
unknown but bounded noise
extended set-membership filter
dynamic balancing
shaking force balancing
acceleration control of the center of mass
fully Cartesian coordinates
natural coordinates
parallel manipulators
passive model
biped walking
Impact and contact
friction force
dissipative force
energy efficiency
robot
motion design
functional redundancy
UR5
hybrid navigation system
weighted-sum model
a heuristic algorithm
piecewise cubic Bézier curve
mobile robot
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online Access:ONIX_20210501_9783039430604_807
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