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About

M. H. Dehghani is a robotics and intelligent systems researcher whose work centers on the kinematics, dynamics, and calibration of parallel robots, with a particular focus on the HEXA parallel robot platform. His most significant contributions address one of robotics' most persistent challenges: solving the forward kinematics problem for parallel manipulators — a task notoriously resistant to closed-form analytical solutions. Dehghani pioneered the application of neural networks, including wavelet-based architectures, to approximate these solutions with reliable convergence, work that has collectively attracted over 70 citations and established him as a key reference in computational kinematics. Beyond kinematics, he developed Lagrangian-based inverse dynamics formulations for the HEXA robot, tackling the complexity and nonlinearity inherent in parallel mechanisms. His 2014 vision-based calibration study introduced an accessible, low-cost USB camera approach for six-DOF kinematic calibration, broadening practical deployment possibilities. More recently, Dehghani has extended his interests to inertial navigation, proposing topological map-based corrections for gyroscope-free systems in mobile robotics. His body of work reflects a consistent drive to make sophisticated robotic systems more computationally tractable and practically deployable.