Jayant Singh
Papers
1
Total Citations
44
H-Index
1
About
Jayant Singh is a leading researcher in haptic-guided teleoperation and collaborative robotics, with a focus on enhancing human-robot interaction through intuitive control systems. His most cited work, "Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm With an Identical Twin Master" (2020, 44 citations), addresses a critical challenge in robotics: the absence of force feedback in master-slave cobot systems. By developing two novel techniques that enable haptic feedback using identical twin 7-DoF collaborative robot arms, Singh has significantly advanced the precision and safety of teleoperation. His contributions are particularly impactful in applications requiring remote manipulation, such as hazardous environment operations and surgical robotics. Singh’s work bridges the gap between industrial cobots and high-fidelity haptic control, demonstrating how recent cobot technologies can be repurposed for sophisticated teleoperation tasks. With growing citation counts reflecting the relevance of his research, Singh continues to shape the future of human-robot collaboration, making complex remote operations more accessible and effective.
Research Focus
Key Achievements
Top Papers
- 1