Adriano Carvalho
Papers
8
Total Citations
261
H-Index
7
About
Adriano Carvalho is a leading figure in the field of cooperative multi-robot systems and mobile robot localization. His seminal 2005 work, "Cooperative multi-robot systems," has garnered over 100 citations, establishing a foundational framework for multi-agent collaboration. Carvalho’s major contributions center on developing robust self-localization algorithms, most notably the "Generalized geometric triangulation algorithm" (2004, 83 citations), which enables mobile robots to determine their absolute position using active beacons. He later refined this approach to address positional and orientation errors, significantly improving its reliability for real-world deployment. Carvalho also pioneered the application of information theory to robotics, introducing entropy gradient-based exploration strategies for vision-based 3-D mapping (2005, 17 citations). His distributed architecture for cooperative mapping allows multiple robots to jointly build volumetric maps of unknown environments, maximizing information gain while minimizing redundancy. Beyond robotics, Carvalho has contributed to induction motor control, exploring direct torque control (DTC) methods. With over 260 total citations, his work bridges theoretical innovation and practical implementation, making him a key reference for researchers in autonomous navigation, multi-robot coordination, and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1Cooperative multi-robot systems:102 citations · 2005
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- 4Exploring information theory for vision-based volumetric mapping17 citations · 2005
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- 7TORQUE AND SPEED MODES SIMULATION OF A DTC- CONTROLLED INDUCTION MOTOR9 citations · 2002
- 8An improved version of the Generalized geometric triangulation algorithm3 citations · 2006