Cristian-Cezar Postelnicu
Papers
3
Total Citations
40
H-Index
3
About
Cristian-Cezar Postelnicu is a researcher at the forefront of assistive robotics and brain-computer interfaces (BCI), specializing in hybrid systems that merge physiological signals for human-machine interaction. His most influential work, "Controlling a Robotic Arm by Brainwaves and Eye Movement" (2011, 28 citations), introduces a pioneering dual-paradigm approach that integrates Electrooculography (EOG) and Electroencephalography (EEG) to enable disabled individuals to command a robotic arm for everyday tasks. This foundational study demonstrates how combining eye movement with neural activity can create more intuitive and reliable control systems. Postelnicu further advanced this concept in "Towards Hybrid Multimodal Brain Computer Interface for Robotic Arm Command" (2019, 8 citations), exploring richer multimodal integration. His work also extends to collaborative robotics, as seen in "Control Interfaces for a Collaborative System Using LabView Package" (2012, 4 citations), where he addresses practical challenges in sensor processing and motor control using accessible software platforms. By bridging neuroscience and engineering, Postelnicu’s research offers tangible pathways toward restoring independence for individuals with severe motor impairments, making significant contributions to the field of assistive technology.
Research Focus
Key Achievements
Top Papers
- 1Controlling a Robotic Arm by Brainwaves and Eye Movement28 citations · 2011
- 2
- 3Control Interfaces for a Collaborative System Using LabView Package4 citations · 2012