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carlos2219/README.md

Typing SVG

Robotics & Autonomy Systems Engineer · Tec de Monterrey · AIST Tokyo

🔬 Research @ AIST Tokyo

Research Intern — Task Intelligent Robotics Research Group, Intelligent Systems Research Institute
Under Dr. Yamanobe Natsuki

Hierarchical trajectory control for inflatable soft robots. Model Predictive Control for high-level guidance coupled with PPO-based reinforcement learning for low-level actuation optimization. Targeting international conference / journal publication.

🛠 Tech Stack

Control Theory MPC LQR PID PPO/RL

Embedded STM32 C C%2B%2B MISRA--C

Simulation & ROS ROS2 Isaac%20Sim

Languages Python MATLAB Simulink

📊 GitHub Stats

GitHub Stats

GitHub Streak

Top Languages

🚀 Featured Projects

Project Tech Stack Key Result
MPC Antisway Drone Controller MPC, Quadrotor Dynamics, ROS 2, Python State estimator without load sensors; smooth trajectory tracking under disturbance
Ackermann Autonomous Vehicle STM32, C/C++, PID, IMU+Ultrasonic Full kinematic derivation → embedded implementation → validated navigation
Modular Payload Deployment System Spherical Pendulum Model, GD&T/ASME Y14.5, HIL Testing 25% part count reduction, impact velocity <5 m/s

📬 Contact

carlosauquillal@gmail.com · LinkedIn

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  1. stm32_motor_closed-loop-control stm32_motor_closed-loop-control Public

    C

  2. qube-servo-motor-position-control qube-servo-motor-position-control Public

    Motor position control on the Quanser QUBE-Servo 3 using a Proportional-Velocity (PV) control strategy, including modeling, gain design, tuning, and Simulink/QUARC implementation.

    MATLAB

  3. furuta-pendulum-state-feedback-control furuta-pendulum-state-feedback-control Public

    State-feedback regulator design for a rotary inverted pendulum (Furuta pendulum), including pole placement, controllability analysis, gain matrix computation, and experimental validation.

    MATLAB

  4. qube-servo-motor-velocity-control qube-servo-motor-velocity-control Public

    Motor velocity control on the Quanser QUBE-Servo 3 using an Integral-plus-Proportional (I+P) control strategy, including modeling, gain design, tuning, and Simulink/QUARC implementation.

    MATLAB