Roman Aguilera: Robotics Consulting, Engineering, and Research

PORTFOLIO

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ABOUT

Roman Aguilera is a robotics researcher and engineer with expertise in AI-driven robotic learning, control systems, and reinforcement learning. He holds a Master of Science in Computer Science from the University of Califonia, Santa Barbara and a Bachelor of Science in Electrical Engineering from the University of California, San Diego. He has worked on projects in multi-link robotic arm control, agricultural automation, and wearable health monitoring, with published research in Advanced Materials. He has been awarded the Google-CAHSI Dissertation Fellowship, NSF Bridge to Doctorate Fellowship, and NSF IGERT in Network Science Fellowship.

EXPERIENCE

UCSB Dynamic Robotics Lab:
Multilink Arm / Dimensionality Research Project

Roman was an AI Robotics Researcher at the UCSB Dynamic Robotics Laboratory for 5 years, where he investigated fundamental AI algorithm performance on robot control tasks. He created custom simulation environments of highly redundant N-link robot arms using Open AI’s Gym API in order to evaluate control algorithm performance as it was affected by (i) the number parts on a robot, (ii) the complexity of a robot’s environment, and (iii) the complexity of a robot’s task. He ultimately discovered evidence to suggest that the Proximal Policy Optimization algorithm learns motions rather than making sense of end goal points. His work and contributions were awarded the Google-CAHSI Dissertation Fellowship in 2023.

TRIC Robotics:
Strawberry Imaging, GPS Mapping, and Crop Counting

Roman was a Field Data Science Intern at TRIC Robotics where he contributed to an existing vision system and automated the collection of plant data. He modified the electrical wiring of their vision system in order to mount it onto TRIC’s Luna Robot. He also automated the implementation of image recognition algorithms to detect center points of strawberry plants and record the GPS position of plant center points during plant treatment.

Neural Interaction Lab:
Mobile Wireless Health Monitoring: Implementation of a Miniaturized Programmable System-on-a-Chip

Roman was an Embedded Systems Researcher at the UCSD Neural Interaction Laboratory for 2 years. He worked with the Programmable-System-on-Chip 4 BLE, leveraging the onboard modules such as the analog-to-digital converter, operational amplifier, and Bluetooth-Low-Energy transmitter to create a prototype device that transmits epidermal sensor information to a smartphone application and computer. He programmed the microcontroller in C, wired the electrical components, and also redesigned the electrical circuits. His work contributed to a larger project that was published in Advanced Materials 2017.

EDUCATION

M.S. Computer Science (2024)
Specialized in Robotics and Machine Learning
University of California, Santa Barbara

B.S. Electrical Engineering (2017)
Specialized in Machine Learning and Controls
University of California, San Diego

AREAS OF INTEREST

Robotic Learning, Manipulation, Locomotion, Humanoids, Real-Time Control, Aggressive Control, Motion Control, Hybrid Dynamical Systems, Microcontrollers, Embedded Systems, Artificial Intelligence, Operator Theory

CONTACT

roman.aguilera.arevalo@gmail.com

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