M2 Internship Improved calibration of industrial cameras positioned on robots HF

Joining LINEACT at CESI for a research internship would be a fantastic opportunity to contribute to innovative projects while deepening my skills in a cuttingedge environment focused on digital transformation and Industry 4.0.

Works

This M2 internship is part of ongoing research on improving camera calibration techniques focusing on optimizing datasets for intrinsic and extrinsic calibration in robotic manipulation contexts. Accurate camera calibration is essential for achieving precise perception and control in robotics particularly in scenarios involving cameras mounted on robotic manipulators.

Context

Camera calibration is a critical step in computer vision applications enabling accurate transformation between image and realworld coordinates. However the performance of calibration algorithms can vary significantly depending on the datasets used. Previous studies carried on our laboratory highlight that dataset quality and diversity play a vital role in ensuring robust calibration results especially in dynamic environments like industrial robotics. This internship will explore the disparity in calibration results across different datasets and investigate methods for creating optimized datasets tailored to robotic manipulators.

Details of the tasks

The primary objectives of the internship are as follows:

• Study Calibration Result Disparity :

Analyse the variability of intrinsic and extrinsic camera calibration results when using different datasets.

• Develop Synthetic Camera Datasets :

Generate datasets specifically for cameras mounted on the endeffectors of robotic manipulators.

• Optimize Dataset Creation:

Propose and implement an optimized methodology for creating calibration datasets considering factors such as pattern design robot pose diversity and environmental conditions.

• Evaluate Calibration Quality:

Assess the quality of calibration achieved using the generated datasets comparing synthetic realworld and hybrid datasets.

Laboratory Presentation

CESI LINEACT (UR 7527 the Digital Innovation Laboratory for Businesses and Learning in support of Territorial Competitiveness anticipates and supports technological transformations in sectors and services related to industry and construction. CESIs historical ties with businesses are a determining factor in its research activities leading to a focus on applied research in partnership with industry. A humancentered approach coupled with the use of technologies as well as regional networking and links with education have enabled crossdisciplinary research that centers on human needs and uses addressing technological challenges through these contributions.

Its research is organized into two interdisciplinary scientific teams and two application domains:

• Team 1 Learning and Innovating is primarily focused on Cognitive Sciences Social Sciences Management Sciences Education Science and Innovation Sciences. The main scientific objectives are understanding the effects of the environment particularly instrumented situations with technical objects (platforms prototyping workshops immersive systems) on learning creativity and innovation processes.

• Team 2 Engineering and Digital Tools is mainly focused on Digital Sciences and Engineering. Its main scientific objectives include modeling simulation optimization and data analysis of cyberphysical systems. Research also covers decisionsupport tools and studies of humansystem interactions especially through digital twins coupled with virtual or augmented environments.

These two teams cross and develop their research in the two application domains of Industry of the

Future and City of the Future supported by research platforms primarily the Rouen platform dedicated to the Factory of the Future and the Nanterre platform dedicated to the Factory and Building of the Future.

Your Recruitment :

Profile Sought: Masters in Computer Science with a focus on computer vision.

Skills :

Scientific and Technical skills :

• Computer Vision Robotics
• Python & C
• C# (optional)
• Unity
• LINUX & WINDOWS

Interpersonal Skills:

• Autonomy initiative curiosity
• Teamwork ability and good interpersonal skills
• Rigorousness

Bonus at 15 of the Social Security hourly ceiling.

Starting date: February 2025

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