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Dorsa Sadigh Doctor of Philosophy in Engineering - Electrical Engineering and Computer Sciences University of California, Berkeley Professor Sanjit A. Seshia, Co-chair Professor S. Shankar Sastry, Co-chair The goal of my research is to enable safe and reliable integration of human-robot systems

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12/07/2013 ∙ by Dorsa Sadigh, et al. ∙ 0 ∙ share read it Finding sparse solutions of systems of polynomial equations via group-sparsity optimization

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Stanford University assistant professor Dorsa Sadigh has ridden in self-driving cars. "These cars are OK driving in normal driving conditions on normal roads," Sadigh says.

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The SDSI Spring 2018 workshop explored data science for the advancement of society and business. Researchers in both industry and academia are working at the forefront of our most challenging problems with a focused interest in how this work can advance society while concurrently achieving business goals.

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Dorsa Sadigh is an assistant professor in computer science and electrical engineering at Stanford University. Her research interests lie in the intersection of robotics, learning and control theory, and algorithmic human-robot interaction.

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Jun 24, 2019 · Dorsa Sadigh, assistant professor of computer science and of electrical engineering, and her lab have combined two different ways of setting goals for robots into a single process, which performed ...

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Janeth Sadigh - Boot Hill Rd, Charlotte, North Carolina: 7043594148 / 704-359-4148: Maesyn Melmed - 236th St, Charlotte, North Carolina: 7043597646 / 704-359-7646: Lenox Alhindi - Temperance House Rd, Charlotte, North Carolina: 7043599536 / 704-359-9536: Skylette Lominac - Kathryne Ln, Charlotte, North Carolina: 7043597636 / 704-359-7636

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Sep 06, 2016 · Information Gathering Actions over Human Internal State Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Anca Dragan IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2016.

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Revolutionary wearable sensors technology that measure human movement like never before to give companies, clinics and athletes easy to interpret movement data.

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By Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon. Running the Code. For code implementing MAGAIL, please visit multiagent-gail folder. For the OpenAI particle environment code, please visit multiagent-particle-envs folder. How to run. Run Multi-Agent ACKTR: python -m sandbox.mack.run_simple Run MAGAIL with Multi-Agent ACKTR:

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Aug 21, 2018 · Stanford University assistant professor Dorsa Sadigh has ridden in self-driving cars. "These cars are OK driving in normal driving conditions on normal roads," Sadigh says. But "the moment you put ...

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MediaX at Stanford, Stanford, CA. 3,251 likes · 1 talking about this · 28 were here. We’re researching innovative ways for people to collaborate, communicate, and interact with the information,... Apr 05, 2014 · Sadigh, D., et al.: Data-driven probabilistic modeling and verification of human driver behavior. In: Formal Verification and Modeling in Human-Machine Systems (2014) Google Scholar 18.

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<div>EECS alumna Dorsa Sadigh (BS '12 / PhD '17, advisors: Shankar Sastry and Sanjit Seshia) has been recognized with the IEEE Technical Committee on Cyber-Physical Systems (TCCPS) Early Career Award ‘‘for contributions to the theory, design, and implementation of human cyber-physical systems.’’

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