Computer Engineering student building a research-oriented portfolio focused on intelligent machines, autonomous robotics, and industrial-grade systems.
My long-term mission is to contribute to high-impact engineering projects involving robotics, aerospace systems, automation, and advanced technologies.
- Mobile Robotics
- Autonomous Navigation
- Robotic Manipulation
- Computer Vision
- Embedded Systems
- Control Systems
- Artificial Intelligence for Physical Systems
- Human-Machine Systems
Design and development of a low-cost autonomous mobile robot capable of:
- Environment perception
- Path planning
- Object detection
- Autonomous navigation
- Robotic arm manipulation
- Real-world task execution
This project is being developed with a research mindset: benchmarking algorithms, validating architectures and generating measurable results.
- Python
- C++
- C
- JavaScript
- ROS2
- Gazebo
- OpenCV
- NumPy
- Machine Learning Fundamentals
- Arduino
- ESP32
- Sensors & Actuators
- Serial Communication
- Basic Electronics
- Linux
- Git / GitHub
- Docker (learning)
- MATLAB / Simulink (future focus)
Comparative analysis of A*, Dijkstra, and RRT in simulated environments using ROS2 + Gazebo.
Computer vision pipeline for target identification and robotic interaction.
Experiments involving PID, motor control, and sensor feedback systems.
I am especially interested in systems that combine:
- Software + Hardware
- Intelligence + Reliability
- Theory + Real Deployment
- Simulation + Physical Validation
- Contribute to world-class R&D teams
- Publish relevant technical research
- Build advanced robotic systems
- Work on aerospace / industrial innovation
- ROS2 ecosystem
- Robotics mathematics
- Control theory
- Motion planning
- Computer vision for autonomous systems
- Scientific writing for conferences
- LinkedIn: Anderson Amicuchi(https://www.linkedin.com/in/amicuchi/)
- Email: AndersonAmicuchi@gmail.com