Ernesto Lozano Calvo

Team Lead of software development. Main responsible for the robotics software stack, both for the robot specifics (ROS2 algorithms development, system integration, deployment on Nvidia Jetson hardware, data collection, robot testing, visualization), as well as the DevOps (CI/CD pipeline, Docker, Git, AWS). Some relevant examples of completed tasks: - Localization. Implementation (C++) and tuning of algorithms to accurately estimate the pose of the robot in complex outdoor environments, fusing sensors like GPS, IMU, 3D LiDAR, etc. Supervision of a master thesis in 3D LiDAR SLAM. - Modeling and Control. Design of a suitable kinematic model for a 4-wheel drive platform. Development and tuning of a custom motor controller package in C++ for brushless DC motors (odometry and control), and a canbus driver. - Navigation. Leveraged the Nav2 framework for mission and path planning, integrating perception sensors for robust obstacle avoidance in 2.5D environments. - AWS Edge computing (IoT). Setup and integration from scratch of the company’s cloud services. Implementation and cloud deployment of a web app (React.js, Node.js) to control the fleet of robots: command (Manual/Autonomous modes), interact (delivery customization) and visualize (CUDA accelerated video streaming, world map location) the robots in realtime. 🤖 Attendance to RosCon 24 Odense!

Deep Learning - LiDAR Perception, 3D Object Detection, Autonomous Driving Publication “TimePillars: Temporally-Recurrent 3D LiDAR Object Detection”

Automation of Factory Acceptance Testing (FAT) for an Autonomous Mobile Robot (AMR) using a Python API: - Design and verification of motion control profiles. - Inertial Measurement Unit (IMU) testing for gradual and sudden collision detection. - Data logging, processing and analysis to meet functional requirements - PID controller tuning: speed control

Management and successful completion of a EU R&D robotics project. - Autonomous navigation with obstacle avoidance using LiDAR + IMU + RTLS sensors.

Sales and management experience

Helped out the Autonomous Driving team, particularly in: - LiDAR 3D point cloud classification - TPU Google Coral implementation using Tensorflow Lite

Deep Learning super resolution algorithms for thermal imaging. Project belonging to the collaborative R&D area that BSH Electrodomésticos España SL and the Engineering Research Institute of Aragón (I3A) share. - Implementation of both supervised and self-supervised learning super resolution methods for virtual cooking assistance using thermal cameras. - Creation of a custom dataset containing both thermal and RGB-D images from diverse cooking tasks. Gained experience working in artificial vision environments, collecting and processing data. - Python programming using Tensorflow and most of the relevant data science libraries.

- Siemens TIA Portal PLC Programming - HMI/SCADA Design - ModbusTCP/Profinet Industrial Ethernet protocol interfaces design and development - PLC-Industrial robot communication handling - AI-Robotics palletising solution (MosaikDynamic) startup (photoelectric sensors, electric motors, camera systems). Valuable automation problem-solving techniques, industrial commissioning knowledge and PLC efficient/reusable code programming skills acquired, providing a different way to approach future challenges.

120 ECTS Specialized in Autonomous Systems

240 ECTS

Taking several Master courses: Image Analysis: 5/5 Computerbased Systems control: 5/5

CAD using the software Solid Edge