Solving the forward kinematics problem in parallel manipulators using an iterative artificial neural network strategy

International Journal of Advanced Manufacturing Technology

Volumn 40, Issue 5-6, 2009, Pages 595-606

  Parikh, Pratik J ^a   Lam, Sarah S ^b  

^a Virginia Polytechnic Institute and State University   (United States)

^b State University of New York   (United States)

Author keywords

Gough Stewart platform; Kinematics; Neural networks; Parallel manipulators

Indexed keywords

ERROR COMPENSATION; FLIGHT SIMULATORS; INDUSTRIAL APPLICATIONS; KINEMATICS; MANIPULATORS; MECHANICS;

ACCURACY LEVELS; ARTIFICIAL NEURAL NETWORKS; COMPENSATION ALGORITHMS; FEED-BACK LOOPS; FLIGHT SIMULATIONS; FORWARD KINEMATICS; FORWARD KINEMATICS PROBLEMS; GOUGH-STEWART PLATFORM; KINEMATIC CONTROLS; KINEMATIC STRUCTURES; MAXIMUM ERRORS; MEDICAL ROBOTICS; NETWORK STRATEGIES; ORIENTATION PARAMETERS; PARALLEL MANIPULATORS; REAL-TIME SOLUTIONS; REAL-WORLD; SELF WEIGHTS; SOLUTION TIME; TRAINED NEURAL NETWORKS; UNIQUE FEATURES;

NEURAL NETWORKS;

EID: 59749104507     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-007-1360-x     Document Type: Article

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