Sandesh Bagmare
Papers
1
Total Citations
2
H-Index
1
About
Sandesh Bagmare is a researcher at the forefront of assistive robotics and deep learning, dedicated to restoring independence for individuals with physical disabilities. His primary research areas encompass humanoid robotics, computer vision, and neural network applications for prosthetic technologies. Bagmare’s most notable contribution is his pioneering work on a vision-based humanoid robotic palm designed specifically for amputees. This system integrates deep learning algorithms to interpret visual cues, enabling intuitive, real-time control of a prosthetic hand. By addressing the profound challenges amputees face—including social stigma and unemployment—Bagmare’s innovation offers a transformative solution that enhances both functionality and quality of life. His 2024 paper on this topic has already garnered 2 citations, signaling growing interest from the robotics and rehabilitation communities. Bagmare’s work stands out for its human-centered approach, bridging the gap between advanced AI and practical, life-changing applications. As he continues to refine this technology, his research promises to reshape perceptions of disability and empower amputees to re-engage with work and daily activities, marking him as a rising voice in inclusive robotics.
Research Focus
Key Achievements
Top Papers
- 1