Farhad Ghassemi
Papers
2
Total Citations
33
H-Index
2
About
Farhad Ghassemi is a researcher whose work centers on robotics sensing, measurement systems, and joint-angle estimation technologies. His most recognized contribution lies in developing innovative, integration-free methods for measuring robot joint angles using accelerometers — a significant advancement in noncontact, indirect sensing for robotic applications. His 2007 paper, "Design and Calibration of an Integration-Free Accelerometer-Based Joint-Angle Sensor," which has garnered 30 citations, introduced a novel methodology in which paired accelerometers placed on adjacent robotic links near a joint axis are processed to dynamically estimate joint angles, eliminating the drift problems commonly associated with integration-based approaches. Building on this foundation, his 2009 work presented a self-calibrating, easy-to-install variant of this sensing method, incorporating automatic in-situ calibration techniques that enhance the system's practicality and robustness in real-world deployments. Ghassemi's research addresses a critical challenge in robotics — achieving accurate, reliable joint-angle measurement without complex mechanical encoders — making his contributions particularly valuable for the design of adaptive, low-cost robotic systems. His work continues to inform researchers working at the intersection of sensor design, robotics, and control systems engineering.
Research Focus
Key Achievements
Top Papers
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