Antonio Galiza Cerdeira Gonzalez
Universidade Federal do Rio de Janeiro, Tokyo University of Agriculture and Technology, Jagiellonian University
Papers
7
Total Citations
117
H-Index
3
About
Antonio Galiza Cerdeira Gonzalez is a robotics researcher whose work bridges autonomous navigation, human-robot interaction, and embodied conversational agents. His most impactful contribution is the development of a supervisory control-based navigation architecture for autonomous robots in Industry 4.0 environments—a framework that has garnered 104 citations and addresses the growing need for efficient, customizable automation in smart factories. Gonzalez has extended this work to multi-robot systems, tackling the logistical challenges of large-scale industrial settings. In human-robot interaction, he has explored how speech synthesis prosody affects human perception (via the "Talk to Kotaro" crowdsourcing study), the influence of physical embodiment on user engagement with conversational agents, and the interpretation of pointing gestures for household robotics. His recent work integrates VGG-16 neural networks with visual artificial potential fields and temporal vision mosaics for map-less robot navigation, demonstrating a commitment to advancing autonomy without reliance on pre-mapped environments. With a research portfolio spanning foundational navigation theory, empirical HRI studies, and deep learning applications, Gonzalez is shaping how robots perceive, navigate, and communicate in both industrial and domestic settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7