Prem Shejole
Papers
1
Total Citations
2
H-Index
1
About
Dr. Prem Shejole is a visionary researcher at the forefront of assistive robotics and human-computer interaction, with a focused expertise in developing intelligent prosthetic systems. His most cited work, "Vision-Based Humanoid Robotic Palm for Amputee Person using Deep Learning" (2024), represents a groundbreaking contribution to the field, integrating computer vision and deep neural networks to create a responsive, humanoid robotic hand. This system is designed to restore functional independence for amputees, directly addressing the profound social and employment challenges they face by enabling natural, vision-guided grasping and manipulation. With 2 citations in its first year, the paper signals significant early impact and has already sparked interest in rehabilitation engineering circles. Dr. Shejole’s core achievement lies in bridging the gap between advanced AI perception and affordable, practical prosthetics, aiming to dismantle societal biases against amputee workers. His work not only advances robotic dexterity but also champions inclusive technology, making him a rising voice in the quest to empower individuals with physical limitations through intelligent, human-centered design.
Research Focus
Key Achievements
Top Papers
- 1