Charvi Vitthal
Papers
2
Total Citations
5
H-Index
2
About
Charvi Vitthal is a researcher at the forefront of cloud robotics and edge computing, specializing in enabling real-time computer vision for resource-constrained mobile systems. Her work addresses the fundamental challenge of offloading computationally intensive tasks—like object detection—from small edge devices to the cloud, while contending with unreliable wireless bandwidth. In her most-cited work, "Learning Important Regions via Attention for Video Streaming on Cloud Robotics" (2022, 3 citations), Vitthal introduced an attention-based mechanism that intelligently prioritizes critical visual regions for transmission, dramatically improving efficiency in cloud-controlled robot systems. Her earlier foundational paper, "Edge Cloud Ensemble with Motion Vectors for Object Detection in Wireless Environments" (2021, 2 citations), pioneered the use of motion vectors to compensate for bandwidth fluctuations, ensuring robust performance for mobile applications in robotics and augmented reality. By tackling the bottleneck of wireless network variability, Vitthal’s contributions are paving the way for smaller, smarter, and more coordinated multi-robot systems that can operate reliably in dynamic environments—a critical step toward practical, scalable cloud robotics.
Research Focus
Key Achievements
Top Papers
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