Papers
6
Total Citations
102
H-Index
5
About
Adrian Arellano-Delgado is a robotics and control systems researcher whose work spans mobile robot trajectory tracking, chaotic systems, and swarm robotics. His research has made meaningful contributions to the control of differential-drive wheeled mobile robots, developing novel algorithms that solve complex tracking problems using minimal sensor information — a notable example being his 2021 paper on trajectory tracking using only Cartesian position measurements, which has garnered 44 citations and represents a significant step toward practical, low-cost robot navigation. A distinctive thread in his research is the intersection of chaos theory and robotics. His 2022 work on generating chaotic trajectories using the Hénon map (21 citations) and his 2019 analysis of chaotic system degradation in embedded implementations (13 citations) demonstrate a unique expertise in applying nonlinear dynamics to autonomous systems, with implications for cryptography and coverage tasks. Arellano-Delgado has also advanced swarm robotics, proposing control algorithms that produce emergent self-organized behaviors — including aggregation and flocking — in multi-robot systems. With growing citation counts across a focused and coherent body of work, he is an emerging voice in autonomous mobile robotics and nonlinear control theory.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design of a Chaotic Trajectory Generator Algorithm for Mobile Robots21 citations · 2022
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- 6Velocity and position tracking controllers for wheeled mobile robots4 citations · 2023