Arodh Lal Karn
Papers
1
Total Citations
11
H-Index
1
About
Arodh Lal Karn is a researcher at the intersection of artificial intelligence, robotics, and defense technologies, with a primary focus on developing intelligent, context-aware systems for human-robot collaboration. His most influential work, "ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry using ontological and deep learning models" (2022, 11 citations), introduces a novel framework that integrates ontological reasoning with deep learning to enable collaborative robots (cobots) to perceive, interpret, and adapt to dynamic environments in defense settings. This contribution addresses critical challenges in situational awareness and safety for human-robot teams, offering a scalable architecture that bridges symbolic knowledge representation with data-driven learning. Karn’s research advances the practical deployment of AI in high-stakes industrial and military contexts, where real-time decision-making and reliability are paramount. His work has been recognized for its interdisciplinary approach, combining robotics, knowledge engineering, and machine learning to create more autonomous and responsive cobot systems. By pioneering context-aware frameworks tailored for defense applications, Karn is shaping the future of intelligent automation in complex, unstructured environments.
Research Focus
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Top Papers
- 1