Sudhani Verma
Papers
1
Total Citations
7
H-Index
1
About
Dr. Sudhani Verma is a leading researcher at the intersection of space robotics, the Internet of Robotic Things (IoRT), and advanced control systems. Her most impactful work introduces the A*WRBAS framework, a conceptual model that integrates reinforcement learning with IoRT for autonomous space mobile robotics. This pioneering approach addresses the critical challenge of autonomous navigation in space, where robots must accurately localize themselves amidst vast distances and signal delays. To enhance precision, Dr. Verma’s research incorporates an Extended Kalman Filter (EKF) for robust noise estimation and tracking, ensuring reliable operation in unpredictable environments. Her work has garnered significant attention, with her flagship paper accumulating 7 citations, reflecting its growing influence in the field. By merging IoRT connectivity with intelligent control, Dr. Verma is laying the groundwork for next-generation space exploration systems, where swarms of mobile robots can operate autonomously and collaboratively. Her contributions are essential for students and researchers advancing autonomous navigation in extraterrestrial settings.
Research Focus
Key Achievements
Top Papers
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