Sakshi Rawal
Papers
1
Total Citations
3
H-Index
1
About
Sakshi Rawal is a robotics researcher whose work focuses on the intersection of human-robot interaction and control systems, with a particular emphasis on teleoperation and wearable technologies. Her research addresses the critical challenge of achieving smooth, precise control when remotely operating industrial robots through exoskeletons—wearable devices that capture human limb motion. Rawal’s most cited paper, “Jitter removal in KUKA KR-5 using Modified Kalman Filter while tele-operating with Exoskeleton” (2016), introduces an innovative application of the Kalman filter technique to eliminate noise and jitter from control signals. This work is significant because it directly tackles a fundamental problem in teleoperation: the degradation of control quality caused by sensor noise and human tremor. By developing a modified filtering approach for the KUKA KR-5 industrial robot, Rawal contributed to making remote manipulation more reliable and intuitive. While her citation count is modest, her research demonstrates a practical understanding of how advanced filtering algorithms can bridge the gap between human motion and machine precision—a crucial step toward safer, more effective human-robot collaboration in industrial settings.
Research Focus
Key Achievements
Top Papers
- 1