Personal profile
Personal profile
Francisco Cruz received the bachelor’s degree in engineering and the master’s degree in computer engineering from the University of Santiago, Chile, in 2004 and 2006, respectively. He received his Ph.D. degree from the University of Hamburg, Germany, in 2017 working in developmental robotics, with a particular focus on interactive reinforcement learning.
He joined UNSW Sydney in 2022 as Senior Lecturer and before the Engineering Faculty at Universidad Central de Chile as a Research and Teaching Associate, in 2017. He has been a visiting researcher at the Emergent Robotics Laboratory at Osaka University, Japan in 2015, and at the Polytechnic School, University of Pernambuco, Brazil in 2018. His current research interests include cognitive robotics, human-robot interaction, artificial neural networks, reinforcement learning, affordances, and psychological and bio-inspired models.
Research Interests
Cognitive robotics, human-robot interaction, artificial neural networks, reinforcement learning, affordances, and psychological and bio-inspired models
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Finished
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Human-like explainable robotic systems in reinforcement learning scenarios.
Cruz Naranjo, F. J. (PI)
23/06/21 → 22/06/23
Project: Research
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DEEP REINFORCEMENT LEARNING WITH INTERACTIVE FEEDBACK FOR ROBOT CONTROL
Cruz Naranjo, F. J. (PI)
6/05/19 → 6/05/21
Project: Research
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A survey on deep learning for 2D and 3D human pose estimation
Kappan, M. M., Sandoval, E. B., Meijering, E. & Cruz, F., Jan 2026, In: Artificial Intelligence Review. 59, 1, 32.Research output: Contribution to journal › Article › peer-review
Open Access -
Depth-Aware Audio Visual Segmentation with Geometry-Heuristic Cross Attention
Afrisal, H., Abpeikar, S. & Cruz, F., 2026, AI 2025: Advances in Artificial Intelligence - 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Proceedings. Liu, M., Yu, X., Xu, C. & Song, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 187-199 13 p. (Lecture Notes in Computer Science; vol. 16371 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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PERCY: Personal Emotional Robotic Conversational System
Meng, Z., Althubyani, M., Xie, S., Razzak, I., Sandoval, E. B., Bamdad, M. & Cruz, F., 2026, AI 2025: Advances in Artificial Intelligence - 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Proceedings. Liu, M., Yu, X., Xu, C. & Song, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 466-478 13 p. (Lecture Notes in Computer Science; vol. 16371 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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The Consensus Paradox: When Low Disagreement Leads to Catastrophic Failure in Multi-teacher Reinforcement Learning
Mesto, M. & Cruz, F., 2026, AI 2025: Advances in Artificial Intelligence - 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Proceedings. Liu, M., Yu, X., Xu, C. & Song, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 426-438 13 p. (Lecture Notes in Computer Science; vol. 16371 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Fuzzy Supervisory Framework for Real-Time Optimization of Robot Output and LLM Performance in HRI
Shaik, K. A., Xie, S., Cruz, F. & Sandoval, E. B., 2025, HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, p. 1617-1620 4 p. (ACM/IEEE International Conference on Human-Robot Interaction).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations