ASL LabStanford University
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Sandeep Chinchali

csandeep _at_ stanford _dot_ edu

Sandeep Chinchali

Alumni · now at University of Texas at Austin

Sandeep is a postdoctoral scholar in the ASL Lab and will be an assistant professor in the ECE department at UT Austin starting in Fall 2021. Sandeep completed his PhD in computer science at Stanford, where he was advised by Marco Pavone and Sachin Katti. Previously, he was the first principal data scientist at Uhana, a Stanford startup working on data-driven optimization of cellular networks, now acquired by VMWare. Prior to Stanford, he graduated from Caltech, where he worked on robotics at NASA’s Jet Propulsion Lab (JPL). He is a recipient of the Stanford Graduate Fellowship and National Science Foundation (NSF) fellowships.

Publications

10 publications · full lab bibliography

2023
  1. M. Nakanoya, S. S. Narasimhan, S. Bhat, A. Anemogiannis, A. Datta, S. Katti, S. Chinchali, and M. Pavone, “Co-Design of Communication and Machine Inference for Cloud Robotics,” Autonomous Robots, vol. 47, pp. 579–-594, 2023.
2021
  1. J. Cheng, M. Pavone, S. Katti, S. Chinchali, and A. Tang, “Data Sharing and Compression for Cooperative Networked Control,” Conf. on Neural Information Processing Systems, 2021.
  2. M. Nakanoya, S. Chinchali, A. Anemogiannis, A. Datta, S. Katti, and M. Pavone, “Task-relevant Representation Learning for Networked Robotic Perception,” Robotics: Science and Systems, 2021.
2020
  1. S. Chinchali, E. Pergament, M. Nakanoya, E. Cidon, E. Zhang, D. Bharadia, M. Pavone, and S. Katti, “Sampling Training Data for Distributed Learning between Robots and the Cloud,” Int. Symp. on Experimental Robotics, 2020.
  2. S. Chinchali, “Data-Driven Methods for Integrated Networked Systems,” Ph.D. dissertation, Stanford University, 2020.
2019
  1. S. Chinchali, A. Sharma, J. Harrison, A. Elhafsi, D. Kang, E. Pergament, E. Cidon, S. Katti, and M. Pavone, “Network Offloading Policies for Cloud Robotics: a Learning-based Approach,” Robotics: Science and Systems, 2019.
  2. S. P. Chinchali, S. C. Livingston, M. Chen, and M. Pavone, “Multi-objective optimal control for proactive decision-making with temporal logic models,” Int. Journal of Robotics Research, vol. 38, no. 12-13, pp. 1490--1512, 2019.
2018
  1. S. Chinchali, P. Hu, T. Chu, M. Sharma, M. Bansal, R. Misra, M. Pavone, and S. Katti, “Cellular Network Traffic Scheduling with Deep Reinforcement Learning,” Proc. AAAI Conf. on Artificial Intelligence, 2018.
2017
  1. S. P. Chinchali, S. C. Livingston, and M. Pavone, “Multi-objective optimal control for proactive decision-making with temporal logic models,” Int. Symp. on Robotics Research, 2017.
2016
  1. S. P. Chinchali, S. C. Livingston, M. Pavone, and J. W. Burdick, “Simultaneous Model Identification and Task Satisfaction in the Presence of Temporal Logic Constraints,” Proc. IEEE Conf. on Robotics and Automation, 2016.