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4 changes: 2 additions & 2 deletions BCI/README.md
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Expand Up @@ -67,9 +67,9 @@ The bleeding-edge intersection of neuro-haptics, brain-computer interface (BCI)

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### Brain-Computer Interface Lab
### Autonomous Systems Laboratory

The Brain-Computer Interface Lab (ISELF205) is a pioneering research hub that provides students with cutting-edge tools to develop innovative projects in Brain-Computer Interfaces (BCI), Artificial Intelligence (AI), and Cloud Computing. The lab's impressive setup includes five BCI headsets, eight workstations comprising six Linux-powered Chromebooks and two Linux PCs, as well as two Linux servers and a dedicated NVIDIA GPU server for high-performance computing. Students also have access to four tablets, four smartphones, four VR headsets, and four drones, creating a versatile platform for immersive and telekinesis systems research. A large monitor and smart TV serve as central display units, complemented by a Nao6 humanoid robot that facilitates hands-on experimentation. By integrating software, hardware, and human biology with brain-computer interfaces, this advanced infrastructure empowers students and researchers to push the boundaries of telekinesis technologies and explore innovative frontiers.
The Autonomous Systems Laboratory (ISELF205) is a pioneering research hub that provides students with cutting-edge tools to develop innovative projects in Brain-Computer Interfaces (BCI), Artificial Intelligence (AI), and Cloud Computing. The lab's impressive setup includes five BCI headsets, eight workstations comprising six Linux-powered Chromebooks and two Linux PCs, as well as two Linux servers and a dedicated NVIDIA GPU server for high-performance computing. Students also have access to four tablets, four smartphones, four VR headsets, and four drones, creating a versatile platform for immersive and autonomous systems research. A large monitor and smart TV serve as central display units, complemented by a Nao6 humanoid robot that facilitates hands-on experimentation. By integrating software, hardware, and human biology with brain-computer interfaces, this advanced infrastructure empowers students and researchers to push the boundaries of autonomous systems technology and explore innovative frontiers.

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<img width="900" alt="image" src="https://github.com/user-attachments/assets/56d4efd1-3f7c-4063-a156-0e28d225b713" />
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