Dr. Jorge Pena Queralta
Dr. Jorge Pena Queralta
ZHAW
School of Engineering
Centre for Artificial Intelligence
Technikumstrasse 71
8400 Winterthur
Work at ZHAW
Position
Focus
- Agentic Embodied AI
- Reinforcement Learning in Mobile Robotics
Teaching
- Blockweek: Introduction to AI for Engineers
- MSE: Machine Learning
- BSc: Introduction to Machine Learning
- Continuing education: CAS Advanced Machine Learning and Machine Learning Operations
Professional development teaching
Experience
- CTO
DAAV
07 / 2024 - 02 / 2025 - Postdoctoral Researcher
ETH Zürich
07 / 2023 - 06 / 2024 - University Teacher
University of Turku, Finland
08 / 2022 - 06 / 2023 - Project Researcher
University of Turku, Finland
08 / 2018 - 07 / 2022
Education and Continuing education
Education
- Postdoc / Reinforcement Learning in Assistive Robotics
ETH Zurich
07 / 2023 - 06 / 2024 - PhD / Robotics and Autonomous Systems
University of Turku, Finland
01 / 2019 - 12 / 2022 - Master of Engineering / Electronics and Communication Engineering
Fudan University, China
09 / 2016 - 07 / 2018 - Master Degree / Information and Communication Technologies
University of Turku, Finland
09 / 2016 - 07 / 2018 - Bachelor Degree / Mathematics
Technical University of Catalonia | UPC BarcelonaTech
09 / 2011 - 02 / 2016 - Bachelor Degree / Physics Engineering
Technical University of Catalonia | UPC BarcelonaTech
09 / 2011 - 02 / 2016
Network
Membership of networks
IEEE
ORCID digital identifier
Social media
Media presence
WEF 2026: Davos Tech Summit Presentation
Projects
- Explainable RL and Agentic Physical AI for Assistive Mobile Manipulation / Project leader / ongoing
- Avatar Demonstrator: VR Control for Humanoid Robots / Project leader / ongoing
- Talking Bots: Interactive Voice Interface for Humanoid Robots in Networking Events / Project leader / completed
- Robot Assistant with Physical Agentic AI / Project leader / completed
Publications
Written conference contributions, peer-reviewed
- Tchernin, C., Peña-Queralta, J., Chen, Y., & Paez-Granados, D. (2026). Posture control in personal mobility robots through pressure interfaces [Conference paper]. 2026 IEEE/SICE International Symposium on System Integration (SII), 605–611. https://doi.org/10.1109/sii64115.2026.11404557
- Salimpour, S., Peña-Queralta, J., Paez-Granados, D., Heikkonen, J., & Westerlund, T. (2025, September 2). Sim-to-real reinforcement learning for local mobile robot navigation in dynamic environments. 2025 European Conference on Mobile Robots (ECMR). https://doi.org/10.1109/ecmr65884.2025.11163286
Other publications
Salimpour, S., Fu, L., Rachwał, K., Bertrand, P., O’Sullivan, K., Jakob, R., Keramat, F., Militano, L., Toffetti Carughi, G., Edelman, H., & Peña Queralta, J. (2025). Towards embodied agentic AI : review and classification of LLM- and VLM-driven robot autonomy and interaction. arXiv. https://doi.org/10.48550/arxiv.2508.05294
Publications before appointment at the ZHAW
- Comparison of middlewares in edge-to-edge and edge-to-cloud communication for distributed ROS 2 systems.
- Benchmarking ML approaches to UWB- based range-only posture recognition for human robot-interaction. IEEE Sensors Journal, 2024
- A customizable conflict resolution and attribute-based access control framework for multi-robot systems