Papers
1
Total Citations
5
H-Index
1
About
Jagdish Lal is a researcher in human-robot interaction and gesture-based control systems, with a focus on developing intuitive interfaces for robotic manipulation. His most cited work, "Real-Time Robotic Hand Control Using Hand Gestures" (2012), introduced a novel framework for translating natural hand movements into precise robotic actions, enabling real-time, non-invasive control of robotic hands. This contribution has garnered 5 citations, reflecting its foundational role in bridging human dexterity with machine precision. Lal's research addresses key challenges in assistive robotics and teleoperation, aiming to make robotic systems more accessible and responsive to human intent. His work is notable for its practical applications in rehabilitation and industrial automation, where gesture-based control reduces the learning curve for operators. By combining computer vision and machine learning techniques, Lal has advanced the field of intuitive human-robot collaboration, laying groundwork for future innovations in prosthetic control and remote manipulation. His ongoing efforts continue to explore adaptive algorithms that enhance the fluidity and accuracy of gesture recognition, promising to reshape how humans interact with robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Robotic Hand Control Using Hand Gestures5 citations · 2012