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Jose Pablo Cedano

@josepablocedano

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Robotics and software engineer specializing in autonomous navigation, ROS2, and computer vision.

Mexico

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What I'm looking for

I seek hands-on roles in robotics or autonomous systems where I can apply ROS2, computer vision, and embedded expertise to deploy real-world solutions and grow in system-level integration.

I am a Robotics & Software Engineer with international research experience at Chalmers Institute of Technology, focused on autonomous navigation, ROS2, and computer vision. I have a strong record deploying perception and decision-making systems on real hardware and integrating industrial automation systems in automotive production environments.

I have migrated ROS to ROS2 architectures on mobile robots, integrated semantic reasoning (GPT-3.5) for context-aware navigation, configured industrial vision systems, programmed PLCs and HMIs, and commissioned automated stations across US and Mexican plants. I balance academic rigor from Tecnológico de Monterrey with hands-on engineering and field commissioning.

Experience

Work history, roles, and key accomplishments

Control Engineer

Avant Assembly Systems

Feb 2025 - Feb 2026 (1 year)

Configured Keyence vision systems and programmed Allen-Bradley and Siemens PLCs and HMIs to coordinate multi-step assembly stations, commissioning automated cells in US and Mexican automotive plants to meet quality and safety standards.

PLC Programming Allen Bradley Siemens Keyence IV4 IVX Industrial Automation Commissioning

Robotics Student Engineer

Tecnológico de Monterrey

Aug 2020 - Jun 2025 (4 years 10 months)

Pursued B.Sc. in Robotics and Digital Systems Engineering with coursework and projects in embedded systems, control, and autonomous navigation; selected for an international research internship at Chalmers.

Embedded Systems Control Systems Robotics IoT Computer Architecture Gazebo

Electric Department Intern

Chalmers Institute of Technology

Aug 2024 - Dec 2024 (4 months)

Migrated object detection and human-speed tracking nodes from ROS to ROS2 on a PAL Robotics Tiago, implementing a hybrid ROS1–ROS2 bridge to preserve functionality and integrated GPT-3.5 for semantic room inference to enable context-aware navigation.

ROS GPT 3 PAL Robotics Tiago Computer Vision

Education

Degrees, certifications, and relevant coursework

Tecnológico de Monterrey

Bachelor of Science, Robotics and Digital Systems Engineering

2020 - 2025

B.Sc. in Robotics and Digital Systems Engineering with coursework in microcontrollers, embedded systems, control systems, and computer architecture; selected for an international research internship at Chalmers focused on autonomous navigation.