Dr. Giovanni Toffetti Carughi
Dr. Giovanni Toffetti Carughi
ZHAW
School of Engineering
Forschungsschwerpunkt Distributed Systems
Steinberggasse 13
8400 Winterthur
Work at ZHAW
Focus
Professional development teaching
Network
ORCID digital identifier
Social media
Projects
- Humanoid Robots for Cleaning and Sterilization of Medical Equipment / Deputy project leader / ongoing
- Lightweight Multimodal Multilingual Context-Aware Machine Translation for AI Documents / Project leader / ongoing
- Supervised Human-Interactive Embodied Learning and Development / Project leader / completed
- TomGrowthAI / Co-project leader / completed
- NEPHELE – A Lightweight Software Stack and Synergetic Meta-Orchestration Framework for the Next Generation Compute Continuum / Team member / completed
- Digital Mobility/Logistics Hub / Team member / completed
- Enterprise Cloud Robotics Platform / Project leader / completed
Publications
Articles in scientific journal, peer-reviewed
- Filinis, N. et al. (2026) 'Edge AI-driven robotic applications in the computing continuum', IEEE Internet of Things Magazine, 9(3), pp. 132–139. doi: 10.1109/MIOT.2026.3655981.
- Militano, L. et al. (2023) 'The cloud-to-edge-to-IoT continuum as an enabler for search and rescue operations', Future Internet, 15(2), p. 55. doi: 10.3390/fi15020055.
- Toffetti Carughi, G. et al. (2017) 'Self-managing cloud-native applications : design, implementation and experience', Future Generation Computer Systems, 72, pp. 165–179. doi: 10.1016/j.future.2016.09.002.
Book chapters, peer-reviewed
Toffetti Carughi, G. and Bohnert, T. M. (2019) 'Cloud robotics with ROS', in Koubaa, A. (ed.) Robot operating system (ROS). Cham: Springer, pp. 119–146. doi: 10.1007/978-3-030-20190-6_5.
Written conference contributions, peer-reviewed
- Fu, L. et al. (2025) 'ROSBag MCP server : analyzing robot data with LLMs for agentic embodied AI applications'. IEEE, pp. 70–77. doi: 10.1109/roboticcc68732.2025.00025.
- Fu, L. et al. (2025) 'IoRT ROS 2 applications : evaluating Zenoh and VPN for robotic networking in the edge-cloud continuum'. IEEE. doi: 10.1109/iscc65549.2025.11326186.
- Stoop, P., Ratnayake, T. and Toffetti, G. (2024) 'A method for multi-robot asynchronous trajectory execution in MoveIt2', in 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, pp. 17694–17700. doi: 10.1109/ICRA57147.2024.10611498.
- Toffetti, G. et al. (2023) 'ROS-based robotic applications orchestration in the compute continuum : challenges and approaches', in Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing. Association for Computing Machinery, p. 49. doi: 10.1145/3603166.3632555.
- Murphy, S. et al. (2022) 'Efficient delivery of robotics programming educational content using cloud robotics', in 2022 7th International Conference on Robotics and Automation Engineering (ICRAE 2022). IEEE, pp. 222–226. doi: 10.1109/ICRAE56463.2022.10056179.
- Toffetti, G. et al. (2022) 'Cloud native robotic applications with GPU sharing on Kubernetes', in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. arXiv. doi: 10.48550/arXiv.2210.03936.
- Borla, N. et al. (2021) 'Teat pose estimation via RGBD segmentation for automated milking', in Task-Informed Grasping: Agri-Food manipulation (TIG-III) Workshop at ICRA 2021, Xi'an, China, 30 May - 5 June 2021. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-22586.
- Roost, D. et al. (2020) 'Combining reinforcement learning with supervised deep learning for neural active scene understanding', in Active Vision and Perception in Human(-Robot) Collaboration Workshop at IEEE RO-MAN 2020 (AVHRC'20), online, 31 August - 4 September 2020. University of Essex. doi: 10.21256/zhaw-20419.
- Spillner, J., Ramírez López, M. and Toffetti Carughi, G. (2017) 'Cloud-native databases : an application perspective', in Mann, Z. Á. and Stolz, V. (eds) Advances in Service-Oriented and Cloud Computing... Autor: Zoltán Ádám Mann Advances in Service-Oriented and Cloud Computing : Workshops of ESOCC 2017, Oslo, Norway, September 27-29, 2017, Revised Selected Papers. Cham: Springer, pp. 102–116. doi: 10.1007/978-3-319-79090-9_7.
- Toffetti Carughi, G. et al. (2017) 'Cloud robotics : SLAM and autonomous exploration on PaaS', in UCC '17 Companion Companion Proceedings of the10th International Conference on Utility and Cloud Computing. Association for Computing Machinery, pp. 65–70. doi: 10.1145/3147234.3148100.
Other publications
- Salimpour, S. et al. (2025) Towards embodied agentic AI : review and classification of LLM- and VLM-driven robot autonomy and interaction. arXiv. doi: 10.48550/arxiv.2508.05294.
- Lötscher, T. et al. (2016) Service Prototyping Lab Report - 2016 (Y1). Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-3709.
- Toffetti Carughi, G. et al. (2015) 'An architecture for self-managing microservices', in AIMC '15 Proceedings of the 1st International Workshop on Automated Incident Management in Cloud. New York: Association for Computing Machinery. doi: 10.1145/2747470.2747474.
- Brunner, S. et al. (2015) 'Experimental evaluation of the cloud-native application design', in 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC). IEEE, pp. 488–493. doi: 10.21256/zhaw-3782.
Oral conference contributions and abstracts
Edmonds, A., Bohnert, T. M. and Toffetti Carughi, G. (2015) 'MCN : beyond NFV', in 7th Cloud Control Workshop, Nässlingen, 9-11 June 2015.