Sreeja Kochuvila
Papers
8
Total Citations
82
H-Index
5
About
Sreeja Kochuvila is a robotics researcher whose work centers on autonomous mobile systems, path planning, and multi-robot coordination. With a career spanning over a decade, she has made significant contributions to the fields of robot navigation, reinforcement learning, and simultaneous localization and mapping (SLAM). Her most influential work, "Mobile Service Robot Path Planning Using Deep Reinforcement Learning" (2023), has garnered 46 citations and addresses the formidable challenge of enabling robots to navigate vast, dynamic environments populated by both humans and other robots. This research, alongside her topological map-based reinforcement learning approach (12 citations), demonstrates her sustained focus on developing adaptive, intelligent navigation systems capable of lifelong operation. Kochuvila's multi-robot systems research further extends her impact, exploring coordinated SLAM solutions for industrial and hazardous environments (8 citations). Her earlier work on biped robot control using partial feedback linearization (2012) reveals foundational interests in control theory that have evolved into cutting-edge machine learning applications. More recently, she has expanded into coverage path planning and machine learning-based localization, reflecting her commitment to building robust, scalable autonomous systems. Her growing citation record underscores her rising prominence in the robotics research community.
Research Focus
Key Achievements
Top Papers
- 1Mobile Service Robot Path Planning Using Deep Reinforcement Learning46 citations · 2023
- 2
- 3Multi-Robot System for Mapping and Localization8 citations · 2023
- 4
- 5A Scalable Tree Based Path Planning for a Service Robot5 citations · 2023
- 6
- 7
- 8Position Estimation for Mobile Robots Using Machine Learning1 citations · 2025