Shankar Sastry is affiliated with the University of California, Berkeley in the United States. Their research spans multiple fields primarily within computer science and engineering, with a significant focus on artificial intelligence and control and systems engineering. Sastry's work addresses a range of subfields including management science and operations research, computer vision and pattern recognition, and biomedical engineering.
Their academic output includes numerous publications, with recent papers covering topics such as reinforcement learning, traffic optimization, and robotics. Notable recent works include "Combining Model-Based Design and Model-Free Policy Optimization to Learn Safe, Stabilizing Controllers" published in 2021 in IFAC-PapersOnLine, "Dynamic Tolling for Inducing Socially Optimal Traffic Loads" from the 2022 American Control Conference (ACC), and "Maximum Likelihood Constraint Inference from Stochastic Demonstrations" presented at the 2021 IEEE Conference on Control Technology and Applications (CCTA). Other papers address simultaneous localization and mapping in robotics and decentralized path planning for multi-robot systems, published in IEEE Robotics and Automation Letters and the 2021 IEEE Conference on Control Technology and Applications (CCTA), respectively.
Frequent coauthors associated with Sastry's work include Chinmay Maheshwari, Tyler Westenbroek, Manxi Wu, Chih-Yuan Chiu, and Sanjit A. Seshia. These collaborations highlight ongoing partnerships in advancing research in control systems and robotics.
Common venues for Sastry's publications reflect a mixture of conference proceedings and preprint platforms, with multiple papers in arXiv (Cornell University), IFAC-PapersOnLine, and leading IEEE conferences and journals related to control technology and robotics.
The main topics explored in Sastry's research are diverse and technical, focusing on areas such as:
Sastry's career includes recognition and awards in the engineering and scientific community. They are a Fellow of the International Federation of Automatic Control (IFAC) since 2014, an ASM Fellow recognized for contributions to deformation of ordered alloys and deformation processing of structural materials since 2013, and a Fellow of the American Academy of Arts and Sciences since 2004. Additionally, Sastry is a member of the National Academy of Engineering since 2001 for work on hybrid and embedded systems design, and an IEEE Fellow since 1995 for contributions to nonlinear circuits, nonlinear control systems, and robotics.
J. Wright;A.Y. Yang;A. Ganesh;S.S. Sastry
Richard M. Murray;S. Shankar Sastry;Li Zexiang
Richard M. Murray;Zexiang Li;S. Shankar Sastry
Shankar Sastry;Marc Bodson
Shankar Sastry
B. Sinopoli;L. Schenato;M. Franceschetti;K. Poolla
J. J. Slotine;S. S. Sastry
Yi Ma;Stefano Soatto;Jana Koseck;S. Shankar Sastry
R.M. Murray;S.S. Sastry
J. Craig;Ping Hsu;S. Sastry
L. Schenato;B. Sinopoli;M. Franceschetti;K. Poolla
Thomas A. Henzinger;Shankar Sastry
C. Tomlin;G.J. Pappas;S. Sastry
S.S. Sastry;A. Isidori
A.A. Cardenas;S. Amin;S. Sastry
J. Hauser;S. Sastry;P. Kokotovic
J. Lygeros;K.H. Johansson;S.N. Simic;Jun Zhang
A.B.A. Cole;J.E. Hauser;S.S. Sastry
B. Paden;S. Sastry
Daewon Lee;H. Jin Kim;Shankar Sastry
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