AWS Physical AI Blog

Sanchita Basak

Author: Sanchita Basak

Sanchita Basak is a Data Scientist at the AWS Generative AI Innovation Center, where she applies her expertise to the evolving landscape of agentic systems, physical AI, and large-scale machine learning. With a Master of Science from Vanderbilt University, she has spent several years building machine learning systems across natural language processing, predictive analytics, and forecasting applications. Her peer-reviewed research has been published across multiple international journals and conferences and was recognized with best paper awards. She focuses on translating AI research into production systems that solve business problems, helping enterprise customers implement ML solutions that drive operational efficiency and strategic outcomes.

Isaac Lab on AWS: From Simulation to Registered Policy

Introduction: The missing layer in Physical AI on AWS Physical AI systems, those that perceive, reason, and act in the physical world, are moving fast from research into production deployments. Training policies in GPU-accelerated simulation compress months of real-world experience into hours of computing, without the cost, time, or safety risks of physical experimentation. A […]