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About

Irma Y. Sanchez is a robotics and mechatronics researcher whose work centers on robotic kinematics, digital twin technology, and engineering education. She has made significant contributions to solving one of robotics' fundamental challenges: the inverse kinematics (IK) problem for industrial manipulators. Her most-cited work, "Singularity Analysis and Complete Methods to Compute the Inverse Kinematics for a 6-DOF UR/TM-Type Robot" (2022, 23 citations), provides comprehensive strategies for controlling robotic arms while navigating singular configurations — a critical concern in advanced supervisory systems and digital twin applications. Complementing this, her studies on the UR5 robotic arm offer multiple analytical IK solution sets and rigorous statistical comparisons, giving researchers and engineers reliable, well-validated tools for manipulator control. Beyond kinematics, Sanchez has championed the integration of Industry 4.0 concepts into engineering education, developing virtual SCARA robots and automated CNC router simulations that bring real-time dynamics and digital twin principles into remote laboratory environments. Her body of work, accumulating over 40 citations, bridges theoretical rigor with practical application, making her research particularly valuable for both emerging robotics engineers and educators seeking to modernize technical curricula.