Siddharth Srivastava is an Assistant Professor of Computer Science in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. Prof. Srivastava was a Staff Scientist at the United Technologies Research Center in Berkeley.
Prior to that, he was a postdoctoral researcher in the RUGS group at the University of California Berkeley. He received his PhD in Computer Science from the University of Massachusetts Amherst.
His research interests include robotics and AI, with a focus on reasoning, planning, and acting under uncertainty. His work on integrated task and motion planning for household robotics has received coverage from international news media.
His dissertation work received a Best Paper award at the International Conference on Automated Planning and Scheduling (ICAPS) and an Outstanding Dissertation award from the Department of Computer Science at UMass Amherst. He served as conference chair for ICAPS 2019 and currently serves as an Associate Editor for the Journal of AI Research.
Robot coworkers: How AI impacts the future of work
What happens when technology advancements threaten to automate people’s jobs?
That question is on the minds of many as research and development in artificial intelligence and machine learning rapidly advances.
Recently ASU received a million dollar NSF Convergence Accelerator Grant to create autonomous systems that are not only more adaptable and efficient in manufacturing environments, but also have built-in adaptive tutoring systems that will cooperate with factory workers and retrain them to use AI technology so they are not displaced from their jobs. This multidisciplinary project is focused on using AI to augment the workplace rather than replace workers.