Alberto Torres Angonese
Military Institute of Engineering, Faculdade de Medicina de Petrópolis
Papers
3
Total Citations
18
H-Index
2
About
Alberto Torres Angonese is a robotics researcher specializing in the integration of computer vision and autonomous navigation systems. His work focuses on enhancing robotic platforms’ ability to perceive and interact with humans in dynamic environments, particularly through the fusion of people detection and Simultaneous Localization and Mapping (SLAM) technologies. In his most-cited paper (9 citations), Angonese demonstrated a system that enables a Pioneer 3DX robot to explore and navigate while detecting people, effectively merging human-aware perception with spatial mapping. He later extended this work to include multiple people detection and identification, integrating dynamic SLAM for more robust autonomous operation (7 citations). Angonese has also contributed to advancing loop closure detection—a critical component of SLAM—by evaluating feature descriptors through Bag of Visual Features and multilayer perceptron models on embedded GPU systems (2 citations). His research bridges the gap between human-robot interaction and autonomous navigation, laying groundwork for safer, more adaptive robotic systems in shared spaces.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3