Pooja Joshi
Papers
1
Total Citations
7
H-Index
1
About
Dr. Pooja Joshi is a leading researcher at the intersection of space mobile robotics, the Internet of Things (IoT), and advanced control systems. Her work focuses on developing intelligent navigation frameworks for autonomous robots operating in complex, unstructured environments—a critical challenge for next-generation space exploration. In her highly cited 2022 paper, "A∗WRBAS: Space Mobile Robotics Control Conceptual Model Using IoRT Reinforcement Learning and Tracking with Noise Estimation Using EKF," Dr. Joshi pioneered a novel conceptual model that integrates Internet of Robotic Things (IoRT) principles with reinforcement learning and Extended Kalman Filter (EKF) noise estimation. This work addresses the fundamental need for robots to accurately localize themselves in space, enabling robust path planning and tracking under real-world uncertainty. Her contributions are particularly significant given the explosive growth of over one billion connected IoT devices, where mobile robots must operate reliably amidst dynamic, noisy environments. With 7 citations, this foundational paper has already influenced subsequent research in autonomous navigation and sensor fusion. Dr. Joshi's innovative synthesis of reinforcement learning with state estimation techniques positions her as a rising authority in intelligent, self-aware robotic systems for space and terrestrial applications.
Research Focus
Key Achievements
Top Papers
- 1