Angelina Royappa
Papers
1
Total Citations
23
H-Index
1
About
Angelina Royappa is a leading researcher in autonomous robotics, with a primary focus on underwater navigation and environmental monitoring. Her most-cited work, "Deep Learning Techniques for Autonomous Navigation of Underwater Robots" (2023, 23 citations), addresses the formidable challenge of enabling robots to operate in the complex, dynamic undersea environment where traditional navigation systems fail. Royappa’s major contribution lies in pioneering deep learning architectures that enhance perception and decision-making for underwater robots, enabling them to perform critical tasks such as infrastructure inspection and environmental data collection with unprecedented reliability. Her research bridges the gap between artificial intelligence and marine robotics, offering scalable solutions for real-world applications. With her work gaining traction in both academic and industrial circles, Royappa is recognized for advancing the frontier of autonomous systems in extreme environments. Her achievements underscore a commitment to solving pressing challenges in ocean exploration and sustainability, making her a rising voice in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Deep Learning Techniques for Autonomous Navigation of Underwater Robots23 citations · 2023