Shraman Pramanick

Johns Hopkins University

Papers

1

Total Citations

12

H-Index

1

About

Shraman Pramanick is a researcher at the intersection of robotics, computer vision, and brain-computer interfaces (BCI). His work focuses on enabling autonomous robotic systems to interact with the physical world through intelligent perception and control. Pramanick’s most notable contribution is the development of a vision-actuated robot arm capable of autonomously grasping 3-D objects, guided by a Brain–Computer Interface. This pioneering study, published in 2023 and already garnering 12 citations, demonstrates how neural signals can be translated into precise robotic actions, bridging the gap between human intent and machine execution. His research integrates real-time 3-D object recognition, grasp planning, and BCI decoding, offering a pathway toward assistive technologies for individuals with motor impairments. By combining deep learning-based vision with non-invasive neural interfaces, Pramanick is advancing the field of human-robot collaboration. His work not only showcases the potential of BCI-driven robotics but also sets a foundation for more intuitive, adaptive robotic systems in healthcare and manufacturing. With growing recognition, Pramanick’s contributions are shaping the future of autonomous, brain-controlled robotic manipulation.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous grasping of 3-D objects by a vision-actuated robot arm using Brain–Computer Interface
12 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago