L Vineela
Papers
1
Total Citations
7
H-Index
1
About
L Vineela is a robotics researcher whose work focuses on multi-agent systems and autonomous navigation, particularly in indoor environments. Her most-cited paper, "An unveiling path planning algorithm with minimal sensing using embedded based robots" (2016, 7 citations), introduces an efficient path planning algorithm for multi-agent service robots operating in home and industrial settings. This work addresses the critical challenge of enabling robots to navigate complex indoor spaces with minimal sensor input, making it both cost-effective and practical for real-world deployment. By emphasizing embedded systems and reduced sensing requirements, Vineela contributes to the development of accessible, scalable robotic solutions for everyday environments. Her research bridges the gap between theoretical path planning and practical implementation, offering insights that benefit students and researchers interested in autonomous robotics, embedded systems, and multi-agent coordination. With a focus on minimal sensing and energy-efficient algorithms, her work supports the broader goal of creating intelligent, cooperative robots that can operate reliably in human-centric spaces.
Research Focus
Key Achievements
Top Papers
- 1