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Ruggero Rigodanzo

Junior Robotics Software Engineer specializing in fleet management and multi-robot coordination

Meili RobotsTechnical University of DenmarkCopenhagen, Denmark3 Years ExperienceJunior LevelWorks On-Site

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About

Robotics software engineer (2 years) at a startup building a universal fleet management system, owning core integrations and real-time data pipelines for heterogeneous AMR/AGV fleets. Implemented Kalman-filter-based collision prediction integrating RTLS for human-driven forklifts, built MQTT microservices aligned with VDA5050, and is now architecting a PostGIS-backed path-planning service for dynamic, traffic-aware routing with future ML optimization.

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Key Strengths

  • Built and owned MQTT-based integration microservices (mqtt-backend, mqtt-broker) aligned to VDA5050
  • Developed Kalman-filter collision prediction for mixed fleets (AMRs/AGVs) plus human-driven forklifts via RTLS
  • Strong heterogeneous robot integration experience across ROS/WS, direct APIs, and TCP/MQTT(S) protocols
  • Client-facing deployment troubleshooting using structured log analysis, data requests (timestamps/mission IDs), and joint root-cause sessions
  • Simulation-first debugging approach; reproduces issues locally with internal tools/sim before patching production logic
  • Designing next-gen path-planning service using PostGIS and plans for dynamic, traffic-aware, kinematics-based routing

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Experience

Robotics Software EngineerMeili Robots · Dec 2023 – Present
Student Assistant - Software DeveloperDTU Electro · Jun 2022 – Jun 2023part-time
Internship - Robotics Path PlanningAgriRobots · Aug 2022 – Jan 2023internship

Education

Technical University of Denmarkmaster, Autonomous Systems Engineering (2023)
University of Paduabachelor, Mechatronics Engineering (2023)

Languages

EnglishItalianDanish

Certifications

Object Oriented Specialization (C++) - University of London & Goldsmiths University of LondonIELTS (Score 8.0)

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Ruggero RigodanzoJunior Robotics Software Engineer specializing in fleet management and multi-robot coordination