D. Ivan Daniels
Papers
2
Total Citations
19
H-Index
2
About
D. Ivan Daniels is a researcher at the intersection of robotics, human-robot interaction, and accessible engineering education. His work focuses on democratizing robotics by integrating machine learning and web-based technologies to lower barriers for non-experts. His most-cited paper, "Monocular Tracking of Human Hand on a Smart Phone Camera using MediaPipe and its Application in Robotics" (2021, 17 citations), introduces a novel approach to robot programming through intuitive hand gesture tracking via smartphone cameras, eliminating the need for specialized training or knowledge of robot kinematics. This contribution directly addresses Industry 4.0’s demand for more accessible human-robot collaboration. Daniels also explores educational innovation in "Effective Teaching of Homogenous Transformations and Robot Simulation Using Web Technologies" (2021), demonstrating his commitment to making complex robotics concepts—like coordinate transformations—more teachable through interactive, browser-based tools. His work bridges practical robotics deployment and pedagogical advancement, offering scalable solutions for both industry and classroom settings.
Research Focus
Key Achievements
Top Papers
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