Papers
5
Total Citations
31
H-Index
4
About
Bogdan Cramariuc is a researcher whose work sits at the intersection of social robotics, computer vision, and intelligent systems, with a particular focus on enabling robots to understand and respond to human behavior. His most impactful contribution, "Human Action Recognition for Social Robots" (2019, 12 citations), addresses the critical challenge of making assistive robots proactive — a quality he argues is essential for supporting elderly and vulnerable individuals in maintaining independent living. This work reflects a broader commitment to deploying robotics in meaningful social contexts. Cramariuc has also made notable strides in applying deep learning to human activity recognition, demonstrating in a 2018 study how convolutional neural networks can effectively combine spatial and temporal visual data captured by platforms such as the TIAGo robot (7 citations). His research extends into autonomous data collection, where he leveraged robotic platforms to streamline indoor fingerprinting via signal strength mapping (5 citations), improving the efficiency of indoor positioning systems. Beyond technical research, Cramariuc has explored robotics as an educational tool, investigating how platforms like TIAGo can enhance learning environments. Affiliated with institutions including the University Politehnica of Bucharest, his work collectively advances the vision of intelligent, socially aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Human Action Recognition for Social Robots12 citations · 2019
- 2
- 3Automatic Data Acquisition with Robots for Indoor Fingerprinting5 citations · 2018
- 4Automatic Data Acquisition with Robots for Indoor Fingerprinting5 citations · 2018
- 5TOWARDS FACILITATING LEARNING AND IMPROVING EDUCATION WITH TIAGO ROBOT2 citations · 2019