Papers
7
Total Citations
83
H-Index
5
About
Andrés Góngora is a leading researcher in the emerging field of mobile robot olfaction, where he bridges robotics, environmental sensing, and human-machine interaction. His work centers on enabling robots to detect, map, and localize gas sources—critical for applications in industrial safety, environmental monitoring, and disaster response. Góngora’s most cited paper, “Joint estimation of gas and wind maps for fast-response applications” (31 citations), introduces a pioneering method for simultaneously mapping gas concentrations and wind fields, dramatically improving the speed and accuracy of autonomous gas detection. He has also made foundational contributions to electronic nose (e-nose) design, detailed in his work on multipurpose artificial noses (20 citations), and to understanding human search strategies for odor sources through teleoperated robotics experiments (6–9 citations). Notably, his research on integrating olfaction into robotic telepresence systems (5 citations) expands the sensory capabilities of remote robots, enabling them to detect hazardous airborne substances in real time. With over 80 total citations across key publications, Góngora’s work is shaping the next generation of intelligent, gas-sensitive mobile robots for real-world safety and monitoring tasks.
Research Focus
Key Achievements
Top Papers
- 1Joint estimation of gas and wind maps for fast-response applications31 citations · 2020
- 2An Electronic Architecture for Multipurpose Artificial Noses20 citations · 2018
- 3
- 4
- 5
- 6Integrating olfaction in a robotic telepresence loop5 citations · 2017
- 7Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots4 citations · 2023