Oct 29, 2021, Stanford University.

Bay Area Robotics Symposium



COVID-19: Stanford University requires all visitors to meet at least one of the following criteria: (1) be fully vaccinated against COVID-19, (2) receive a negative COVID-19 test within 72 hours prior to arrival onsite.
We will be following all relevant health recommendations. If guidelines change, the symposium will fall back to a virtual symposium as in 2020, and all tickets will be refunded.

Registration

Tickets can be bought here. Stanford University requires all visitors to meet at least one of the following criteria: (1) be fully vaccinated against COVID-19, (2) receive a negative COVID-19 test within 72 hours prior to arrival onsite. If guidelines regarding COVID-19 change and we cannot make the event in person, the symposium will fall back to a virtual symposium as in 2020, and all tickets will be refunded.

About

The 2021 Bay Area Robotics Symposium aims to bring together roboticists from the Bay Area. The program will consist of a mix of faculty, student and industry presentations.

Faculty Organizers: 

Dorsa Sadigh (Stanford) and Mark Mueller (UC Berkeley)

Sponsors:

Gold Sponsors:



Silver Sponsors:



Bronze Sponsors:

         

Schedule

The tentative event schedule is as below.

08:30- Front desk opens
09:00-09:15 Introduction
09:15-10:00 Faculty Talks #1
10:00-10:30 Spotlight Talks #1
10:30-11:00 Coffee Break + Poster Presentations #1
11:00-11:45 Faculty Talks #2
11:45-13:15 Lunch, sponsored by Ambi Robotics
13:15-13:45 Keynote by Percy Liang
13:45-14:15 Keynote by Rob Reich
14:15-15:00 Faculty Talks #3
15:00-15:45 Spotlight Talks #2
15:45-16:15 Coffee Break + Poster Presentations #2
16:15-16:45 Faculty Talks #4
16:45-17:00 Closing Remarks

The tentative list of speakers for each talk session is:

Faculty talks #1 (09:15 -- 10:00): Karen Liu, Ron Fearing, Dorsa Sadigh, Hannah Stuart, Allison Okamura.

Faculty talks #2 (11:00 -- 11:45): Jeannette Bohg, Ricardo Sanfelice, Chelsea Finn, Ken Goldberg, Monroe Kennedy.

Faculty talks #3 (14:15 -- 15:00): Steve Collins, Sergey Levine, Jiajun Wu, Jitendra Malik, Marco Pavone.

Faculty talks #4 (16:00 -- 16:45): Mark Mueller, Grace Gao, Alice Agogino, Mykel Kochenderfer.


Spotlight Talks #1 (10:00 -- 10:30): Keenon Werling, Michelle Guo, Sareum Kim, Conrad Holda, Erdem Bıyık, Suneel Belkhale, Jungpyo Lee, Tae Myung Huh, Zonghe Chua, Negin Heravi, Sid Reddy, Andrea Bajcsy, Rika Antonova, Toki Migimatsu, Masoumeh Ghanbarpour, Santiago Jimenez Leudo, Annie Chen, Suraj Nair, Jeff Ichnowski, Brijen Thananjeyan, Won Kyung Do, Shivani Guptasarma, Stephen James, Aravind Rajeswaran, Fangyu Wu, Keiko Nagami, Joe Vincent, Fernando Castaneda, Zhongyu Li.

Spotlight Talks #2 (15:00 -- 15:45): Olga Liakhovich (Auris), Mark Palatucci (Waymo), Troy Adebar (Intuitive Surgical), Fred Parietti (Multiply Labs), Sanjiban Choudhury (Aurora), Liangjun Zhang (Baidu Research), Avi Singh (Google), Patrick Slade, Ashvin Nair, Frederik Ebert, Michael Lingelbach, Ruohan Gao, Ashish Kumar, Ilija Radosavovic, Spencer Richards, Thomas Lew, Karan Jain, Clark Zha, Adyasha Mohanty, Shubh Gupta, Andrew Barken, Masha Itkina, Chelsea Sidrane, Tony G. Chen, Samuel Frishman.

Keynote Talk by Percy Liang: 

Title: Foundation Models

Abstract: Foundation models are models that are trained via self-supervision on broad data at scale and can be adapted to a wide range of downstream tasks. They have produced a paradigm shift (with BERT and GPT-3) within the natural language processing (NLP) community, but their reach extends to vision and other modalities. In this talk, I will discuss some of the technical and ethical research questions around these models that we have been tackling at the new Center for Research on Foundation Models. Finally, I will end with a few speculative thoughts on their potential in robotics.

Speaker Bio: Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011) and the director of the Center for Research on Foundation Models. His research spans many topics in machine learning and natural language processing, including robustness, interpretability, semantics, and reasoning. He is also a strong proponent of reproducibility through the creation of CodaLab Worksheets. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), a Microsoft Research Faculty Fellowship (2014), and multiple paper awards at ACL, EMNLP, ICML, and COLT.

Keynote Talk by Rob Reich: 

Speaker Bio: Rob Reich is a philosopher, the director of Stanford University’s Center for Ethics in Society, co-director of the Center on Philanthropy and Civil Society, and associate director of its new Institute for Human-Centered Artificial Intelligence. He is the author of System Error: Where Big Tech Went Wrong and How We Can Reboot and Just Giving: Why Philanthropy is Failing Democracy and How It Can Do Better. A former sixth grade teacher, he has won multiple teaching awards at Stanford. He helped to create the global movement #GivingTuesday and serves as chair of its board. Twitter: @robreich.

Logistics

Directions: [Google Maps]; [Directions to McCaw Hall, Frances C. Arrillaga Alumni Center, Stanford].

Parking: Limited visitor parking (metered) is available in the Track Lot at the corner of Galvez Street and Campus Drive. Rate is $2.00 per hour. Cash, or credit/debit cards are accepted. Additional parking options at Stanford are [here].

Food: Breakfast, snacks and coffee will be available for the symposium participants.

Code of Conduct: (Based on [this]) BARS 2021 is organized for the purpose of open exchange of ideas, the freedom of thought and expression, to engage in productive debates, create professional connections, and learn about exciting research.
BARS 2021 is committed to ensuring all participants have a positive experience at the symposium. All participants have the equal right to pursue shared interests without harassment or discrimination in an environment that supports diversity and inclusion. BARS will not tolerate any harassment, discrimination, personal attacks, disruption, or bullying. Participants who are asked to stop such behavior are expected to do so immediately.
If you have concerns about a participant's behavior, please reach out to bars@cs.stanford.edu or contact the front desk. We will respond as soon as possible.

Contact

Symposium organizers: 

Dorsa Sadigh, dorsa@cs.stanford.edu
Mark Mueller, mwm@berkeley.edu

Local arrangements:

Erdem Bıyık, ebiyik@stanford.edu
Sidd Karamcheti, skaramcheti@cs.stanford.edu