Brian Fielding
Papers
1
Total Citations
2
H-Index
1
About
Brian Fielding’s research career has centered on the intersection of robotics, control systems, and motion planning, with a particular focus on ensuring safe and efficient robotic operation. His most cited work, “Predictive joint motion limiting in robotic applications” (2003, 2 citations), introduces three innovative joint space algorithms that slow Cartesian path motion when joint motion approaches speed, acceleration, or position limits. These algorithms employ quadratic curve fitting to predict the trajectory of joint movement and calculate the time needed to avoid exceeding constraints, thereby preventing mechanical stress or failure. Though his citation count is modest, Fielding’s contribution is notable for its practical foresight in real-time robotic control—a foundational concern in industrial automation and collaborative robotics. His work demonstrates a deep understanding of kinematic limitations and predictive modeling, offering a methodical approach to motion safety that has informed subsequent studies in adaptive trajectory generation. Fielding’s research remains a niche but valuable reference for engineers developing robust, limit-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Predictive joint motion limiting in robotic applications2 citations · 2003