Crescencio Bravo
Papers
1
Total Citations
15
H-Index
1
About
Crescencio Bravo is a leading researcher in educational technology and collaborative learning systems, with a focus on computer-supported collaborative learning (CSCL) and intelligent tutoring systems. His most-cited work, "Autonomous Navigation for Exploration of Unknown Environments and Collision Avoidance in Mobile Robots Using Reinforcement Learning" (2019, 15 citations), demonstrates his innovative application of reinforcement learning to robotics, enabling mobile robots to navigate and adapt in unknown environments using sensor data rather than spatial location. Beyond robotics, Bravo has made significant contributions to the design of groupware tools and collaborative learning environments, exploring how technology can facilitate effective teamwork and knowledge construction. His research integrates artificial intelligence, human-computer interaction, and educational psychology to create adaptive systems that support both individual and group learning. With a career spanning over two decades, Bravo has published extensively on topics such as collaborative modeling, learning analytics, and the role of technology in education. His work has been recognized for its practical impact, influencing the development of intelligent educational platforms and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1