Hello, I am Davide Allegro 🙋🏻♂️
I am an Automation Engineer and I am currently pursuing the Ph.D. in Computer Vision and Robotics at the Intelligent Autonomous Systems Laboratory (IASLab), in the Department of Information Engineering (DEI) of the University of Padova.
From a young age, I've been captivated by the potential of robotics and artificial intelligence to solve real-world problems. I'm passionate about leveraging AI and computer vision to create intelligent robots that can seamlessly interact with their environment and collaborate with humans.
My vision extends far beyond technical achievements. I dream of a future where humans and robots work together in harmony, prioritizing safety and achieving common goals. This isn't just about innovation; it's about shaping technology that serves humanity, improves our lives, and safeguards our well-being.
"Combining Robotics and Computer Vision unlocks innovative solutions for real-world challenges"
Research 👨🏻💻
I am a third-year Ph.D. student in Computer Vision and Robotics.I specialize in multi-camera pose estimation, including both onboard sensors for mobile robots and fixed cameras for robotic manipulation in human-robot collaboration tasks. My current research aims to unify these two scenarios by leveraging 3D features for accurate camera pose estimation and fostering effective human-robot collaboration. Additionally, I am exploring Vision-Language Models (VLMs) and Gaussian Splatting techniques for 6D object pose estimation and to empower robot interactions with the environment.
[Download resume]
Awards 🏆
1. Winner of Manager Anch’io Competition 2024: Recognized for the best thesis in Artificial Intelligence, Automation, and Robotics.
2. Klaus Fischer Degree Awards Edition 2023: Awarded for the best thesis on innovations in processes for the digitalization and automation of industrial production.
3. Winner of the ADAPT Field Campaign Competition 2022: First prize in the Advanced Agile Production competition organized by Tampere University, Finland.
4. Start Cup Veneto 2022 : 4th absolute prize (over more than 40 proposals) in a regional business plan competition.
Publications 📖
Journals
[J1] D. Allegro, M. Terreran, and S. Ghidoni. "Multi-Camera Hand-Eye Calibration for Human-Robot Collaboration in Industrial Robotic Workcells". IEEE Robotics and Automation Letters, vol. 9, no. 11, pp. 9852-9859. [Webpage]
[J2] D. Allegro, M. Terreran, and S. Ghidoni. "METRIC-Multi-Eye to Robot Indoor Calibration Dataset". Information 14.6 (2023): 314.
[Webpage]
Conferences
[C1] D. Allegro, M. Terreran, and S. Ghidoni. "MEMROC: Multi-Eye to Mobile RObot Calibration". In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. 2024. [Paper]
[C2] L. Bragagnolo, M. Terreran, D. Allegro, and S. Ghidoni. "Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose Estimation". In: European Conference on Computer Vision (W). Springer. 2024. [Paper]
[C3] A. Bacchin, D. Allegro, S. Ghidoni, and E. Menegatti. "SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation". In: European Conference on Computer Vision (W). Springer. 2024. [Paper]
[C4] D. Evangelista, D. Allegro, M. Terreran, A. Pretto, and S. Ghidoni. "An unified iterative hand-eye calibration method for eye-on-base and eye-in-hand setups". In: 2022 International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. 2022. [Paper]
[C5] D. Evangelista, E. Olivastri, D. Allegro, E. Menegatti, and A. Pretto. "A Graph-Based Optimization Framework for Hand- Eye Calibration for Multi-Camera Setups". In: 2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE. 2023. [Paper]
[C6] M. Terreran, L. Barcellona, D. Allegro, and S. Ghidoni. "Towards a holistic human perception system for close human-robot collaboration". In CEUR WORKSHOP PROCEEDINGS (Vol. 3417, pp. 1-7). CEUR-WS. [Paper]
Master Thesis
[T1] D. Allegro, "Automatic multi-camera hand-eye calibration for robotic workcells". [Download PDF]
