Ewerton Lopes Silva de Oliveira
Papers
1
Total Citations
2
H-Index
1
About
Ewerton Lopes Silva de Oliveira is a researcher focused on human-robot interaction and adaptive robotics, with a particular emphasis on competitive physical games. His major contribution lies in developing algorithms that enable robots to dynamically adjust their performance to match human opponents in real-time, ensuring engaging and balanced gameplay. This work, exemplified by his most-cited paper "Robot player adaptation to human opponents in physical, competitive robogames" (2020, 2 citations), addresses the critical challenge of online skill matching—where a robot must continuously recalibrate its abilities as a human player's skill level fluctuates during a match. While his citation count is modest, the novelty of his approach has implications for broader fields like assistive robotics and adaptive automation, where machines must respond to human variability. His research highlights the intersection of game theory, machine learning, and human factors, offering a foundation for future work in socially interactive robots.
Research Focus
Key Achievements
Top Papers
- 1