Last date to apply: 22 October 2026 Master’s Thesis: Computer Vision for Perception and Localization in Autonomous Floor Grinding We are looking for one or two master’s students with an interest in robotics and computer vision to conduct their thesis project with the Floor Grinding team at Husqvarna Construction in Jonsered, Sweden. Background Autonomous floor grinders must operate reliably in large and challenging indoor environments. To follow planned grinding paths, achieve consistent surface coverage, and interact safely with their surroundings, the machines require accurate information about their own motion and the surrounding environment. Existing systems may use sensors such as LiDAR, wheel odometry, and inertial measurement units. However, industrial environments can present difficult conditions, including large open areas, uniform concrete floors, plain walls, changing surroundings, moving equipment, dust, vibration, limited visual texture, and varying illumination. Under these conditions, individual sensors may provide incomplete or uncertain information. Computer vision could provide additional information that complements the existing sensor system. One possible direction is visual SLAM, or vision-based simultaneous localization and mapping, in which camera data is used to estimate the machine’s motion while simultaneously building or updating a representation of its surroundings. Visual SLAM could be used independently or combined with LiDAR, IMU, and wheel odometry in a multi-sensor fusion solution. Other possible applications of computer vision include: Visual odometry and motion estimation Detection of moving, temporary, or unsuitable reference objects Recognition of environmental features and landmarks Estimation of sensor alignment and machine parameters Detection of floor boundaries, obstacles, and relevant work-area characteristics Improved sensor fusion and confidence estimation The central question is how camera-based perception can complement the machine’s existing sensors and improve its ability to localize itself and understand its operating environment. . The objective The objective of this thesis is to investigate how computer vision can improve the perception, localization, and autonomous capabilities of floor-grinding machines. Based on a review of the application, available sensors, and relevant computer-vision methods, the students will identify and select a promising use case. Possible directions include visual SLAM, visual odometry, vision-assisted localization, environmental understanding, object detection, sensor calibration, and multi-sensor fusion. The selected approach will be implemented and evaluated using suitable data, experiments and a prototype system installed in a floor grinding machine. The goal is to assess both its potential benefits and its practical limitations in realistic floor-grinding environments. The solution should account for application-specific constraints such as dust, vibration, motion blur, changing illumination, limited visual texture, available computing resources, and the need to operate across different indoor environments. Your skills and background Currently studying towards a master’s degree in Automation and Mechatronics, Robotics, Computer Science, Engineering Physics, Electrical Engineering, or a related field Interest in computer vision, autonomous systems, localization, SLAM, or sensor fusion The thesis is suitable for one or two students The thesis will include work such as Study the autonomous floor-grinding application and identify challenges where visual information could provide value. Review relevant computer-vision methods, including visual SLAM, visual odometry, perception, and multi-sensor fusion. Analyse available sensors, computing resources, data, and practical environmental constraints. Investigate whether visual SLAM or another vision-based approach could complement LiDAR, IMU, and wheel odometry. Define evaluation criteria and select a feasible computer-vision use case in dialogue with Husqvarna. Develop and implement a prototype based on the selected approach. Test and evaluate the solution under representative conditions. Compare the proposed approach with existing sensor information or suitable baseline methods. Document the results, identified limitations, and recommendations for further development. How to apply Please submit your application, including your CV, cover letter, and transcript of grades, as soon as possible. Due to GDPR, we do not accept applications by email. The thesis project is expected to start in early 2027 and continue throughout the spring semester of 2027. For questions regarding the thesis project please contact:   Antonio Bogdanovic, +46 706 475 012, Antonio.Bogdanovic@husqvarnagroup.com Read about Husqvarna Group here:   https://www.husqvarnagroup.com/    Husqvarna Group is a world-leading producer of outdoor power products for garden, park and forest care. Products include chainsaws, trimmers, robotic lawn mowers and ride-on lawn mowers. The Group is also the European leader in garden watering products and a world leader in cutting equipment and diamond tools for the construction and stone industries. Discover roles that inspire growth, challenge boundaries, and allow you to be part of something bigger. Here, you’ll find a team that values bold ideas, sustainable solutions, and collaborative growth. Whether you’re just starting your career or looking for the next big step, we offer a place where passion and purpose come together. Explore our openings and take the first step in your Husqvarna journey. Shaping great experiences is what we do. With our passion for innovation, we create new solutions to enhance urban and green spaces used and loved by many. Transforming the way the world care for outdoor environments. For more than three centuries we have kept innovating and re-inventing our business. Today, our innovation drives us forward toward a sustainable future, turning opportunities into value for our customers. Our goal is market leadership, grounded in a vision to shape our industry and make a meaningful impact. Read more about our vision and mission here We are an equal opportunity employer and celebrate diversity. We are committed to create an inclusive environment for all employees and candidates. Together as a team, we can bring the best ideas to life. Diversity and inclusion is about each and every one of us. We are curious, bold, and built by our differences. At Husqvarna Group, we choose to build on various perspectives to create a company that is stronger – and where we have fun together. Learn more about our diversity and inclusion journey here We believe that business is ultimately about people, as a team, we win and grow together. Our culture is the fuel that drives us to achieve our goals, built on three culture themes: Bold: We push boundaries, take risks, and act decisively, stepping outside our comfort zones to explore new opportunities. Dedicated: We’re driven by our passion to shape great experiences - and we’ve got the dedication to follow through. Care: We put people first – our customers, our team and future generations. Care is what connects us, spurs our growth and our ability to win together Together, these values empower us to lead, adapt, and grow as a team. Learn more about our culture here

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