Papers
11
Total Citations
108
H-Index
7
About
Marco Herrera is a robotics and control systems researcher whose work spans mobile robot navigation, aerial manipulation, and advanced control theory. He has established himself as a prominent contributor to sliding mode control (SMC) methodologies, most notably through his widely cited 2024 comparative study of SMC approaches for non-holonomic mobile robots, which has already garnered 29 citations. His research consistently addresses trajectory tracking challenges across diverse robotic platforms, from ground-based wheeled robots to quadcopter-mounted manipulators, demonstrating both theoretical rigor and practical applicability. Herrera has made notable contributions to intelligent control, applying LAMDA-based algorithms to mobile robot trajectory tracking and developing hybrid formation control strategies that elegantly combine null space and consensus algorithms to solve real-world scalability problems. His work on dynamic obstacle avoidance using time-varying potential fields further reflects his commitment to multi-objective robotic control. With an accumulated citation count exceeding 100 across his portfolio, his research bridges theoretical innovation and experimental validation — evident in studies ranging from cable-driven parallel robots to two-wheeled inverted pendulums. His body of work makes him a valuable reference for graduate students and researchers exploring robust, intelligent control solutions for complex robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2LAMDA Control Approaches Applied to Trajectory Tracking for Mobile Robots18 citations · 2021
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- 7A Sliding Mode Control for a Planar 4-Cable Direct Driven Robot7 citations · 2018
- 8Model predictive control tuning based on Extended Kalman Filter3 citations · 2017
- 9Two-wheeled inverted pendulum path planning: An experimental validation2 citations · 2016
- 10A Fuzzy Sliding Mode Controller for Planar 4-Cable Direct Driven Robot2 citations · 2018