K Aarthi
Papers
1
Total Citations
11
H-Index
1
About
K. Aarthi is a researcher whose work lies at the intersection of artificial intelligence, robotics, and multi-agent systems. Her most notable contribution is the development of CBRRoboSoc, an innovative planning strategy for robotic soccer that leverages Case-Based Reasoning (CBR). This approach, detailed in her 2006 paper, enables robots to learn from past game scenarios to make intelligent, real-time decisions on the field. By building prototypes for a two-robot team in the RoboCup small-size league, Aarthi demonstrated how CBR can effectively handle the dynamic, adversarial environment of competitive robotics. Her work has garnered 11 citations, reflecting its influence in the fields of AI planning and autonomous agents. Aarthi’s research is particularly valuable for students and researchers exploring how case-based reasoning can be applied to complex, time-critical tasks, bridging the gap between theoretical AI and practical robotic coordination.
Research Focus
Key Achievements
Top Papers
- 1