Riccardo Grinover

Riccardo Grinover

Brisbane City, Queensland, Australia
2K followers 500+ connections

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Experience

  • Leonardo.Ai Graphic

    Leonardo.Ai

    Australia

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    Australia

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    Queensland, Australia

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    Australia

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    Brisbane, Australia

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    Brisbane, Australia

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    Brisbane, Australia

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    Underwood, QLD Astralia

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    Brisbane, Australia

Education

  • QUT (Queensland University of Technology) Graphic

    Queensland University of Technology

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    Activities and Societies: Australian Centre for Robotic Vision - Electrical Engineering Student Society (EESS) - Code Network - Student Trading and Investment Association (STIA)

    ▪ First place in the finals of the 2017 international Amazon Robotics Challenge, as leader of the camera vision team
    ▪ Working with machine learning as a focal part of the final year project
    ▪ Multiple High distinctions across all engineering units and IT minor

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    High distinctions and distinctions in multiple group projects in both team leader and team member positions. Transferred to QUT after successfully completing second year, due to personal reasons.

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    Activities and Societies: Electrical Engineering Student Society (EESS)

    Completed 2 engineering university courses with distinctions, in the last year of high school at Kelvin Grove State College (KGSC). Received this opportunity after a stand-out completion of accelerated subject in engineering and mathematics, during the last year at KGSC.

Volunteer Experience

  • Queensland AI Hub Graphic

    AI Course Mentor

    Queensland AI Hub

    - 2 months

    Science and Technology

    Mentoring the fast.ai Practical Deep Learning for Coders course to 60 participants, once a week, over 10 weeks.
    As teams participants then solved a problem on a dataset of their choice, gaining practical, real-world machine-learning skills.

  • Australian Centre for Robotic Vision Graphic

    Robotronica Volunteer

    Australian Centre for Robotic Vision

    - 1 month

    Science and Technology

    Robotronica is an interactive experience exposition of the Queensland University of Technology's science and engineering research, open to the public. It was held in QUT, creating one of the world's largest digital learning and display spaces, for robotics from the past, present and of what is to come in the future.

    I have personally worked on 'Cartman' a cartesian manipulator showcased in Robotronica, where I guided and taught visitors about how it works and how it was built, trying to…

    Robotronica is an interactive experience exposition of the Queensland University of Technology's science and engineering research, open to the public. It was held in QUT, creating one of the world's largest digital learning and display spaces, for robotics from the past, present and of what is to come in the future.

    I have personally worked on 'Cartman' a cartesian manipulator showcased in Robotronica, where I guided and taught visitors about how it works and how it was built, trying to motivate and excite people about science and engineering fields.

  • QUT (Queensland University of Technology) Graphic

    World Science Festival Volunteer

    QUT (Queensland University of Technology)

    - 1 month

    Education

    World Science Festival held in the Queensland Museum, is part of a global celebration of science, Technology, Engineering and Maths (STEM). In 2017 more than 180,000 people joined the celebration, reinforcing Australia’s position as a knowledge economy and igniting new and challenging discussions.

    As a QUT student volunteer, I was working with a team of talented students in showing of Baxter. A smart, collaborative robot pioneer, which we taught using machine learning, to pick up…

    World Science Festival held in the Queensland Museum, is part of a global celebration of science, Technology, Engineering and Maths (STEM). In 2017 more than 180,000 people joined the celebration, reinforcing Australia’s position as a knowledge economy and igniting new and challenging discussions.

    As a QUT student volunteer, I was working with a team of talented students in showing of Baxter. A smart, collaborative robot pioneer, which we taught using machine learning, to pick up bottles and other objects from a shelf, to then hand to kids and other visitors.

Publications

Projects

  • GPTOCR

    GPTOCR standout feature is its ability to autonomously create structured data from any document, be it a PDF or an image file. This eliminates the need for manual data entry and mapping, saving time and reducing errors. Moreover, it allows users to apply custom logic to the data structure using natural language powered by GPT models, providing an additional level of flexibility and efficiency.

    GPTOCR aims to help users save time, reduce errors, improve efficiency, and enhance…

    GPTOCR standout feature is its ability to autonomously create structured data from any document, be it a PDF or an image file. This eliminates the need for manual data entry and mapping, saving time and reducing errors. Moreover, it allows users to apply custom logic to the data structure using natural language powered by GPT models, providing an additional level of flexibility and efficiency.

    GPTOCR aims to help users save time, reduce errors, improve efficiency, and enhance collaboration.

    Incredible application of the power of Generative AI for data extraction and structuring.

    See project

  • Amazon Robotics Challenge

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    The Amazon Robotics Challenge (ARC), is a competition created by Amazon Robotics to advance the development of automated and viable robotics system to pick objects in an unstructured environment.

    The project was undertaken by myself as team leader, and two other undergraduate engineering students, forming the camera vision team. We worked through multiple iterations of the camera system to optimise the calibration of RGB, IR and depth images, as well as the creation of a high density…

    The Amazon Robotics Challenge (ARC), is a competition created by Amazon Robotics to advance the development of automated and viable robotics system to pick objects in an unstructured environment.

    The project was undertaken by myself as team leader, and two other undergraduate engineering students, forming the camera vision team. We worked through multiple iterations of the camera system to optimise the calibration of RGB, IR and depth images, as well as the creation of a high density point clouds.

    During the 2015 Amazon Robotics Challenge, it was found that the accurate calibration of the vision system was crucial to localisation in a 3D environment, and the accuracy and density of the point cloud determined the capacity to which the various objects to be localised and grasped properly.

    We developed multiple camera systems through six iterations, using single and multiple RGBD cameras (intel Realsense) as well as a laser scanner (Photoneo Phoxi). Each system was found to have its pros and cons, where for example a combination between the RGBD camera and the laser scanner could create very high density point clouds. The calibration of the cameras was done through multiple scripts and services coded in Python and C++, as well as the development of a multistage pipeline to create the point cloud from the initial raw RGB and IR image data. The pipeline and most calibration scripts were developed for the Robot Operating System (ROS) framework.

Honors & Awards

  • Dean's List for Excellent Academic Performance

    Professor Gordon Wyeth

  • ACRV Best Team Project

    Australian Centre for Robotic Vision (ACRV)

    This award is presented to the team within ACRV, who best combined robotics and vision to address a significant challenge. The team showed this through the outstanding work completed in order to compete in the Amazon Robotics Challenge.

  • TadHack Brisbane - Location Award

    TadHack

    At TadHack 2017, my team members and I, under the team name 'Event Muster', developed during the 2 day hackathon, an SMS service to connect people and events. The service allows, through simple text messages over any mobile device, to connect people within rural communities together and to events around them. This was designed to overcome the digital divide, which many of these communities face, being far from urban areas.

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