Chetna Kaushal

Papers

Total Citations

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About

Chetna Kaushal is a researcher at the forefront of intelligent systems, with her work bridging multi-robot coordination and computer vision. Her primary research areas include cloud-based task scheduling for multi-robot systems and facial expression recognition using deep learning. In her most impactful work, "Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm" (2023, 17 citations), Kaushal addresses the critical challenge of efficiently assigning multiple tasks to autonomous robots in complex environments. By introducing the PMW algorithm, she provides a scalable solution that enhances coordination and autonomy in multi-robot systems—a key enabler for applications in manufacturing, logistics, and disaster response. Additionally, her paper "WhyMyFace: A Novel Approach to Recognize Facial Expressions Using CNN and Data Augmentations" (2022, 3 citations) demonstrates her versatility in applying convolutional neural networks and data augmentation techniques to improve emotion recognition from facial expressions. Though early in her career, Kaushal’s contributions are already shaping how robots collaborate and interact with humans, making her a promising voice in the fields of robotics and artificial intelligence. Her work underscores the growing synergy between cloud computing and autonomous systems.