K Sivanathan
Papers
1
Total Citations
3
H-Index
1
About
K Sivanathan is a robotics researcher whose work focuses on decentralized multi-robot coordination and trajectory optimization. Their most notable contribution is a novel online decentralized receding horizon trajectory generation algorithm for multi-agent systems, published in 2018. This work addresses a critical challenge in robotics: enabling multiple robots to navigate dynamic, uncontrolled environments without centralized supervision. By developing a method that allows each robot to plan its path in real-time while accounting for the movements of others, Sivanathan pushes the boundaries of multi-robot autonomy beyond heavily controlled settings. Though the paper has garnered 3 citations, its significance lies in tackling a nascent problem with broad implications for search-and-rescue, warehouse automation, and environmental monitoring. Sivanathan’s research is particularly valuable for students and researchers interested in the intersection of optimization, decentralized control, and practical multi-robot deployment, offering a foundational approach to a field still in its early stages.
Research Focus
Key Achievements
Top Papers
- 1