Papers
6
Total Citations
87
H-Index
4
About
Alejandro Rozenfeld is a leading researcher in autonomous underwater and surface robotics, with a focus on perception, navigation, and intelligent control systems. His work centers on enabling robust autonomy in challenging aquatic environments, particularly through acoustic sensing and sensor fusion. Rozenfeld’s major contributions include the development of artificial potential field methods for obstacle avoidance in AUVs using mechanical scanning sonar (32 citations), and an efficient target tracking approach from side scan sonar imagery for underwater perception systems (29 citations). He has also explored how simple autonomous decisions evolve into robust behaviors, drawing insights from neurorobotics, cognitive science, and artificial immune systems (13 citations). Rozenfeld led the design and construction of the MACÁBOT autonomous surface vehicle (ASV), a fully in-house developed platform, and contributed to the Ictiobot-40 low-cost AUV for acoustic imaging surveying. His work on GPS-aided strapdown inertial navigation systems using extended Kalman filters further advances reliable localization for autonomous robotics. Through these efforts, Rozenfeld has significantly advanced the practical deployment of intelligent underwater vehicles.
Research Focus
Key Achievements
Top Papers
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- 4MACÁBOT: Prototipo de Vehículo Autónomo de Superficie (ASV)8 citations · 2019
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- 6Ictiobot-40 a low cost AUV platform for acoustic imaging surveying2 citations · 2019