Richard J. Prazenica
Papers
9
Total Citations
142
H-Index
6
About
Dr. Richard J. Prazenica is a leading researcher in robotics and autonomous systems, with key contributions spanning robotic manipulator control, vision-based navigation, and space exploration technologies. His work is distinguished by innovative applications of artificial intelligence and advanced mathematical frameworks to solve complex robotics challenges. His most impactful work, a 2022 paper on deep reinforcement learning for inverse kinematics of high-DOF robotic manipulators, has garnered 62 citations, establishing a new paradigm for overcoming traditional computational hurdles in robotic control. Dr. Prazenica is also a pioneer in applying the Product of Exponentials (PoE) formulation and screw theory for trajectory generation, as demonstrated in multiple publications from 2021. His research extends to aerospace applications, including vision-based Kalman filtering for aircraft state estimation (34 citations) and control strategies for free-flying unmanned systems designed for interplanetary prospecting and In-Situ Resource Utilization (ISRU). By integrating swarm intelligence, neural networks, and machine learning into trajectory generation, Dr. Prazenica’s work is shaping the future of autonomous manipulation in both terrestrial and extraterrestrial environments.
Research Focus
Key Achievements
Top Papers
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- 7RHC for Vision-Based Navigation of a WMR in an Urban Environment5 citations · 2005
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- 9Using Products of Exponentials to Define (Draw) Orbits and More2 citations · 2022