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Location: Science and Technology Hub - Trento, Italy
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224527245
5
14.02.2025
31.03.2025
The Foundation is looking for a proactive and dynamic young candidate with good organizational and relational skills and an inclination for teamwork, strongly motivated to work on innovative projects featuring strong technological components.
We can offer an important training opportunity to experiment with using robotics as autonomous crop-field monitoring 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 the navigation paths based on external recommendations. However, a generic and cost-effective robotic solution autonomously navigating a rugged outdoor environment is still an open issue.
Given these challenges, the OpenIoT research group proposes to develop a ROS-based rover, based on existing open-source projects, to navigate and acquire images using a camera mounted on a 4 DoF robotic arm.
Autonomous robots as mobile field sensing systems may represent a cost-effective solution to acquire different time-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 rugged settings and take advantage of IoT sensors to optimize the navigation paths. One intriguing challenge is the capacity of the robot to return to a charging station when the energy levels are below those required for a given task.
Given these challenges, the OpenIoT research group opted for a ROS-based, open-source rover to be applied in the agricultural sector as a research and development platform (codename: Jumanji). Therefore, the goal is to develop a prototype charging station for the open-source rover that provides smart capabilities using IoT sensors and basic computer vision.
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 required documents in Pdfs format:
Applications will be reviewed as they arrive. Preferred period: at the earliest possible.
For any information, contact Massimo Vecchio ([emailprotected]).