Aneesh Deogan
Papers
1
Total Citations
1
H-Index
1
About
Aneesh Deogan is a researcher at the forefront of robotics and computer vision, with a primary focus on synthetic data generation for autonomous systems. His most notable contribution, "Synthetic Dataset Generation for Autonomous Mobile Robots Using 3D Gaussian Splatting for Vision Training" (2025), addresses a critical bottleneck in the field: the labor-intensive and error-prone process of manually annotating training datasets. By leveraging 3D Gaussian Splatting, Deogan pioneers a method to create highly diverse, dynamic, and realistic synthetic scenes, dramatically reducing the time and human bias inherent in traditional dataset creation. This work is foundational for training robust neural networks in object detection for mobile robots, enabling them to navigate complex, real-world environments more effectively. While his citation count is still growing, the innovative nature of his approach positions him as a rising voice in efficient, scalable robotics training. Deogan’s research promises to accelerate the deployment of autonomous systems by making high-quality vision training data both accessible and automated.
Research Focus
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Top Papers
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