Internship in OpenCV and ROS for an advanced perception robotic platform
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.
The final goal of the internship is Analysis of state of the art for reverse kinematics using computer vision in ROS Review of open-source libraries for computer vision and reverse-kinematic in ROS Integration and adaptation of open-source libraries for reverse kinematics and computer vision. Evaluation and testing in simulated environments and real robots. Requirements : Ongoing Academic background in science and engineering fields (e.g., industrial automation, control systems and simulation, physics, math, computer science, computer engineering); Knowledge of basic concepts of robotics; Knowledge of software development using OpenCV for ROS; (nice-to-have experience with Gazebo simulator); Experience with distributed version control systems (git); Experience in Linux environment (shell scripting, package installation); Experience in programming languages for ROS (Python and/or C); 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. The internship may be useful to complete the master's thesis.
All interested parties are requested to fill in the online form, clicking on "Apply online", and attach the required documents 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 (******).
For any support, further clarification and/or information, the Human Resources Department will remain available via the address: ******
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