Wilfrido Moreno
Papers
11
Total Citations
142
H-Index
6
About
Wilfrido Moreno is a robotics and control systems researcher whose work spans swarm robotics, assistive technology, humanoid robotics, and engineering education. His most influential contributions lie in swarm formation control, where he pioneered the use of bivariate normal probability density functions to generate potential fields that govern swarm geometry, member spacing, and obstacle avoidance — work that earned over 60 citations across two landmark 2006 papers addressing both homogeneous and heterogeneous swarm configurations. Equally significant is his sustained commitment to assistive robotics: beginning in the early 2000s, Moreno developed intelligent haptic interfaces and scaled teleoperation systems that map irregular inputs from individuals with disabilities into complex robotic motions, helping expand vocational and physical capabilities for underserved populations. His later research turned toward humanoid robotics, tackling energy efficiency during standing and sitting tasks using Q-learning, and reducing impact forces in falling robots through variable stiffness and fuzzy control strategies. More recently, he has engaged with engineering workforce development, applying cognitive neuroscience principles to accelerate education in automation and control for the semiconductor industry. Across more than two decades, Moreno's research reflects a consistent drive to make intelligent robotic systems more adaptive, accessible, and human-centered.
Research Focus
Key Achievements
Top Papers
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- 4Reduction of impact force in falling robots using variable stiffness9 citations · 2016
- 5Fuzzy Variable Stiffness in Landing Phase for Jumping Robot9 citations · 2015
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- 10Power Usage Reduction of Humanoid Standing Process Using Q-Learning2 citations · 2015