Max Robotics — Global Service Robot Directory + US Certification

About

Nima Karbasizadeh is a robotics researcher specializing in the dynamic and kinematic identification, modeling, and control of parallel robotic systems, particularly haptic devices and decoupled parallel robots. His major contributions lie in advancing the precision and performance of these mechanisms through experimental system identification and feed-forward control strategies. His most cited work, "Experimental dynamic identification and model feed-forward control of Novint Falcon haptic device" (2018, 41 citations), establishes a rigorous methodology for characterizing the dynamic behavior of this widely used haptic interface, enabling more accurate and responsive force feedback. Complementing this, his earlier paper "Dynamic identification of the Novint Falcon Haptic device" (2016, 23 citations) provides a foundational white-box dynamic model built from a precise CAD representation. Karbasizadeh has also made significant strides in kinematic calibration for parallel robots, as demonstrated in "Experimental kinematic identification and position control of a 3-DOF decoupled parallel robot" (2018, 11 citations), where he corrects manufacturing-induced kinematic uncertainties to enhance control accuracy. His work on collision-free workspace determination via triangle-to-triangle intersection tests (2016, 23 citations) offers a general computational approach applicable to complex robotic geometries. Collectively, his research has garnered over 100 citations, reflecting its practical value for improving the fidelity and reliability of parallel robotic systems in haptics and automation.