Project Title: design of an intelligent power charging station for the Jumanji rover

Fondazione Bruno Kessler - FBK; Trento; In loco; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

Une fondation innovante à Trento recherche un(e) stagiaire dynamique pour concevoir une station de chargement intelligente pour un rover. Ce projet englobe des défis passionnants en robotique et en IoT, offrant une formation précieuse. Le stagiaire participera à des activités de recherche et développement sur des systèmes autonomes, tout en bénéficiant d'un soutien pour l'hébergement.

Servizi

Cafétéria sur place

Soutien à la recherche de logement

Competenze

• Étudiant(e) en ingénierie ou domaine similaire motivé(e) par des projets innovants.
• Expérience avec Arduino, STM32, Raspberry Pi préférée.
• Capacité à apprendre et à travailler en équipe.

Mansioni

• Analyse d'état de l'art sur la localisation autonome des robots.
• Intégration et adaptation de bibliothèques open source pour la navigation.
• Construction et évaluation de prototypes pour la station de chargement.

Conoscenze

Connaissance de la robotique

Vision par ordinateur

Plateformes HW/SW embarquées

Électronique

Versioning distribué (git)

Environnement Linux

Programmation sur plateformes embarquées

Formazione

Actuellement au niveau de la licence ou master en ingénierie ou domaine similaire

Descrizione del lavoro

Social network you want to login/join with:

Project Title: design of an intelligent power charging station for the Jumanji rover, Trento

col-narrow-left

Client:

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

3fe2121b0bc9

Job Views:

3

Posted:

31.05.2025

Expiry Date:

15.07.2025

col-wide

Job Description:

The Foundation is looking for a proactive and dynamic young candidate with good organizational and relationalskills and an inclination for teamwork, strongly motivated to work on innovative projects featuring strongtechnological components.We can offer an important training opportunity to experiment with using robotics as autonomous crop-fieldmonitoring systems, which is a cost-effective solution for acquiring different images (e.g., RGB and infrared).Furthermore, the onboard autonomous intelligence helps optimize the robotic sensing activity by deciding thenavigation paths based on external recommendations. However, a generic and cost-effective robotic solutionautonomously navigating a rugged outdoor environment is still an open issue. Given these challenges, the OpenIoTresearch group proposes to develop a ROS-based rover, based on existing open-source projects, to navigate andacquire images using a camera mounted on a 4 DoF robotic arm.General ObjectiveAutonomous robots as mobile field sensing systems may represent a cost-effective solution to acquire differenttime-series data in agricultural use-cases, enhancing current Internet of Things (IoT) deployments. However,several issues need to be solved, including the ability of the robot to autonomously navigate outdoors in ruggedsettings and take advantage of IoT sensors to optimize the navigation paths. In addition, one intriguing challenge isthe capacity of the robot to return to a charging station when the energy levels are below those required for agiven task. Given these challenges, the OpenIoT research group opted for a ROS-based, open-source rover to beapplied in the agricultural sector as a research and development platform (codename: Jumanji). Therefore, thegoal is to develop a prototype charging station for the open-source rover that provides smart capabilities using IoTsensors and basic computer vision.Activities to be performed:1. State of the art analysis of autonomous location for robots using ROS2. State of the art DIY charging stations for mobile Robots with embedded sensors.3. Integration/adaptation and open source libraries for wheeled vehicle navigation.4. Building and evaluating prototypes for the charging station.5. Evaluation and testing in real robots.Expected skills:1. Knowledge of basic concepts of robotics and computer vision in ROS2. Knowledge of embedded HW/SW platforms (e.g., Arduino, STM32, RPI)3. Knowledge of electronics, in particular batteries and chargers.4. Experience with distributed version control systems (git).5. Experience in Linux environment (shell scripting, package installation).6. Experience in programming for embedded platforms (Python, C, or C++).7. Experience building DIY sensor and actuator prototypes.8. Motivation in the development of research activities.We offer:Curricular internship (no allowance);3-6 months, depending on the candidate's needs and preparation;Canteen;Support for the search for accommodation at the affiliated structures.All interested parties are requested to fill in the online form, clicking on "Apply online", and attach the requireddocuments in Pdfs format:Curriculum Vitae;Cover letter.Applications will be reviewed as they arrive. Preferred period: at the earliest possible.For any information, contact Massimo Vecchio ([emailprotected] ).