Karthik Swaminathan
Papers
2
Total Citations
10
H-Index
2
About
Karthik Swaminathan is a leading researcher at the forefront of resilient autonomous systems and human-robot interaction. His work fundamentally addresses the critical challenge of making autonomous agents—from self-driving cars to UAVs—not only functional but robust under real-world stress. His highly cited 2022 paper, "Analyzing and Improving Resilience and Robustness of Autonomous Systems," has become a foundational reference for designing systems that can withstand failures and continue operating safely, garnering significant attention as autonomous technology reaches a tipping point in deployment. More recently, Swaminathan has pioneered novel approaches to embodied AI with his 2025 work on "AdaptBot." This research breaks new ground by combining Large Language Models (LLMs) with Knowledge Graphs and human input, enabling agents to decompose and learn entirely new tasks on the fly without requiring extensive retraining or labeled examples. By bridging the gap between vast, pre-trained knowledge and specific, real-world task execution, Swaminathan is shaping a future where robots can adapt intelligently to novel human requests, marking him as a key innovator in both system safety and adaptive machine intelligence.
Research Focus
Key Achievements
Top Papers
- 1Analyzing and Improving Resilience and Robustness of Autonomous Systems8 citations · 2022
- 2