Phelipe W. Oliveira
Papers
2
Total Citations
20
H-Index
2
About
Phelipe W. Oliveira is a robotics researcher focused on the intersection of trajectory planning and control theory, with a particular emphasis on achieving smooth, human-like motion in robotic manipulators. His primary research areas include optimal control, PID and PD controller tuning, and the application of the minimum jerk principle to robotic systems. Oliveira’s major contribution lies in developing systematic, optimization-based frameworks that bridge the gap between kinematic trajectory planning and dynamic control. In his most cited work, "A General Framework for Optimal Tuning of PID-like Controllers for Minimum Jerk Robotic Trajectories" (2020, 18 citations), he introduced a unified method for tuning controllers to precisely track minimum jerk paths, significantly improving motion smoothness and reducing mechanical wear. His earlier paper, "A Novel Tuning Method for PD Control of Robotic Manipulators Based on Minimum Jerk Principle" (2018), laid the groundwork by directly linking PD control gains to the kinematic properties of the planned trajectory. Though early in his career, Oliveira’s work has been recognized for its practical impact on industrial robotics and human-robot interaction, offering engineers a clear, mathematically grounded approach to achieving fluid, efficient motion.
Research Focus
Key Achievements
Top Papers
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