Laurence McLean

Papers

Total Citations

H-Index

About

Laurence McLean’s research lies at the intersection of robotics, sensor fusion, and control systems, with a focused expertise in high-order joint sensing for dynamic legged robots. His most influential work, “High-Order Robotic Joint Sensing with Multiple Accelerometer and Gyroscope Systems” (2018), addresses the growing demand for enhanced control performance in humanoid and highly dynamic robotic platforms. By integrating multiple inertial sensors, McLean pioneered methods to estimate acceleration, velocity, and position with unprecedented precision—critical for stable locomotion and real-time parameter estimation. His earlier foundational paper, “A Robotic Joint Sensor” (2015), advanced the accelerometer-only Inertial Measurement Unit (IMU) concept by incorporating incremental encoders, enabling robust relative angular measurements for hinged robotic links. Though his citation counts (3 and 2, respectively) reflect a niche but technically demanding field, McLean’s contributions are instrumental for researchers tackling high-bandwidth control in agile robots. His work is particularly notable for bridging theoretical sensor fusion with practical hardware design, offering a blueprint for next-generation joint sensing. For students and engineers exploring legged robotics, McLean’s research provides essential tools for pushing the boundaries of robot agility and autonomy.