Alexandre C. B. Delbem
Universidade de São Paulo, Institute of Mathematics and Computer Science
Papers
5
Total Citations
24
H-Index
4
About
Alexandre C. B. Delbem is a leading researcher in robotics, human-robot interaction, and computational intelligence, with a focus on rehabilitation and autonomous navigation. His major contributions include developing robotic kinematic measures to objectively assess motor recovery in chronic stroke survivors, particularly when combined with transcranial direct current stimulation (tDCS) and intensive training—a study that has garnered 8 citations and highlights the potential for more sensitive clinical evaluation tools. He also introduced a comprehensive data analysis framework for human-robot interaction, organizing kinematic and kinetic data to streamline research from raw data to refined results (5 citations). In computational design, Delbem pioneered evolutionary bit-length optimization algorithms for floating-to-fixed-point conversion, enhancing efficiency in embedded systems (5 citations). His work extends to mobile robotics, where he developed novelty detection methods using Normalized Compression Distance (NCD) for environmental recognition and navigation control, with applications in autonomous path planning (4 and 2 citations). Through these innovations, Delbem has advanced both rehabilitation robotics and autonomous systems, demonstrating significant impact in improving objective metrics and adaptive control.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human-Robot Interaction: Kinematic and Kinetic Data Analysis Framework5 citations · 2020
- 3
- 4
- 5Novelty Detection Based on NCD for Navigation Control of Mobile Robots2 citations · 2015