V. Malathi
Papers
2
Total Citations
8
H-Index
2
About
Dr. V. Malathi is a leading researcher at the intersection of robotics, human-robot interaction (HRI), and autonomous decision-making under uncertainty. Her work is distinguished by its focus on bridging the gap between raw sensor data and intelligent robotic action. A key contribution is her pioneering use of electromyography (EMG) signals for hand gesture recognition, enabling more intuitive and natural HRI. This work, detailed in her highly cited 2022 paper, leverages machine learning to decode human intent directly from muscle activity, a significant step toward seamless collaboration between humans and machines. More recently, Dr. Malathi has tackled one of robotics' most fundamental challenges: navigation under uncertainty. Her 2025 review on belief-space planning provides a critical synthesis of how Partially Observable Markov Decision Processes (POMDPs) can be simplified for practical path planning in mobile robots. With each of her most-cited papers garnering 4 citations, her impact is growing as she provides the theoretical and applied foundations for robots that can both understand human gestures and navigate complex, unpredictable environments. Her work is essential reading for anyone interested in the future of autonomous, human-aware robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2