July 2024 - “Stop Regressing: The Unreasonable Effectiveness of Classification in Deep Reinforcement Learning,” selected for Oral at ICML 2024 - 1.5% acceptance rate.
July 2024 - “Levels of AGI: Operationalizing Progress on the Path to AGI,” Positional paper selected for Spotlight at ICML 2024 - 3.5% acceptance rate.
May 2024 - “A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis,” selected for Oral at ICLR 2024 – 1.17% acceptance rate.
March 2024 - Named as 50 Women in Robotics you need to know about, Women in Robotics.
Sep 2023 - Program Chair for AutoML 2023
May 2023 - Serving in L4DC Awards Committee
April 2023 - Serving as ICLR Senior AC and Awards Committee
Jan 2023 - Selected for IEEE RA-L Senior Editor for Robot Learning
Jan 2023 - “Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles,” S Krishnan, Z Wan, K Bhardwaj, P Whatmough, A Faust, S Neuman, G Wei, D Brooks, VJ Reddi, MICRO 2022, receives IEEE Micro Top Picks 2023 Honorable Mention
Dec 2022 - CoRL Keynote
Oct 2022 - IROS Keynote
July 2022 - AutoRL tutorial at AutoML
Jun 2022 - Invited to IEEE RAS Committee on RAS Governance Review and Restructuring
Dec 2021 - Invited to IEEE RAS Ad Hoc Committee to Explore Synergies in Automation and Robotics (CESAR)
Sep 2021 - Four events at IROS (details):
Self-supervision in Motion Planning & panel @ CLAMP - recorded talk
Learning to Learn for RL & panel @ SPAR
Panel on RL & Control & HCI @ RL-Conform
Autonomous navigation @ IPLC
May 2021 - Air Learning accepted to Mach Learn
April 2021 Techxplore - Air Learning: A gym environment to train deep reinforcement algorithms for aerial robot navigation
April 2021 - BlogPost: Evolving Reinforcement Learning Algorithms
April 2021 - BlogPost: Model-Based RL for Decentralized Multi-agent Navigation
Mar 2021 - BlogPost: PAIRED: A New Multi-agent Approach for Adversarial Environment Generation
Mar 2021 - Medium: DQNReg with Stable Baselines
Mar 2021 - Three papers accepted to ICRA
Jan 2021 - Elected to serve on the IEEE Robotics and Automation Society (RAS) Administrative board.
Jan 2021 - Analytics India Magazine: What Are Evolving Reinforcement Learning Algorithms
Jan 2021- Science Magazine: Who needs a teacher? Artificial intelligence designs lesson plans for itself
Jan 2021 - Evolving Reinforcement Learning Algorithms accepted as oral for ICLR 2021.
Jan 2021 - Three papers [1, 2, 3] mentioned in Google AI Year in Review Blog post.
Jan 2021 - Elected to serve on the IEEE Robotics and Automation Society (RAS) Administrative board.
Jan 2020 - Elected to serve on the IEEE Robotics and Automation Society (RAS) Administrative board.
Dec 2020 - The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines, selected as Best of CAL in 2020.
Dec 2020 - Program Chair for CoRL 2021
Dec 2020 - Two posters at DeepRL@NeurIPS
Evolving Reinforcement Learning Algorithms, Co-Reyes et al.,.
Adversarial Environment Generation for Learning to Navigate the Web, Gur et al.
Oct 2020 - Two papers accepted to CoRL
Jun 2020 - Neural Collision Clearance Estimator for Batched Robot Motion Planning accepted to WAFR.
May 2020 - Fast Deep Swept Volume Estimator accepted to IJRR.
Apr 2020 - Long-Range Indoor Navigation with PRM-RL accepted to T-RO.
Apr 2020 - Techxplore: A framework for indoor robot navigation among humans
Mar 2020 - VentureBeat: Google’s AI helps robots navigate around humans in offices
Feb 2020 - IEEE Early Career Award in Robotics and Automation
Jan 2020 - Research featured in Google Research: Looking Back at 2019, and Forward to 2020 and Beyond
Nov 2019 - Interview with GA Tech
Oct 2019 - Medium article: QWeb: Solving Web Navigation Problems using DQN by Sherwin Chen
Oct 2019 - Bitcraze blog: Learning to Seek: autonomous source seeking using deep reinforcement learning onboard a Crazyflie
Oct 2019 - Medium article: What if Quantization was Applied for Reinforcement Learning? by Christopher Dossman
June 2019 - Best paper at RL4RL@ICML, Lyapunov-based Safe Policy Optimization for Continuous Control
June 2019 - Jeff Dean's keynote at AutoML @ ICML mentions AutoRL
Mar 2019 - NY Times article on Robotics at Google
Feb 2019 - Venture beat: Google lays out framework for autonomous errand-running robots and follow-up: [1], [2], [3], [4]
Feb 2019 - Google AI Blog: Long-Range Robotic Navigation via Automated Reinforcement Learning
Jan 2019 - Two papers mentioned in: Looking Back at Google’s Research Efforts in 2018
Dec 2018 - ZdNet article on "Learning to Navigate the Web", ICLR 2019 paper: "Forget Go, Google helps AI learn to book flights on the Web"
Dec 2018 - Interview with Pc Magazine ahead of WAFR: "This Google Research Scientist Helps Robots Make Good Decisions"
Sep 2018 - ZdNet article on the sorting paper: "Google suggests all software could use a little robot AI"
July 2018 - Distinguished Alumni, School of Engineering, University of New Mexico
May 2018 - Best paper in Service Robotics at ICRA
April 2017 - New York Times interview, Meet the People Who Train the Robots (to Do Their Own Jobs)
Fall 2015 - Alum News, Newsletter The Computing Research Association’s Committee on the Status of Women in Computing Research (CRA-W) Newsletter, Summer/Fall 2015
May 2015 - Sandia Daily News "Sandia robotics scientist wins prestigious UNM dissertation award" (Read more)
April 2015 - Inside UNM, "Faust receives Tom L. Popejoy Dissertation Prize" (Read more)
March 2015 - AI Matters, Dissertation Brief, "Reinforcement Learning and Planning for Preference Balancing Tasks"
April 2014 - The Innovation Door to The University of New Mexico, Vol. XXVII – Spring 2014, pages 2, “Multicopter’s Smart Technology Provides Safer, More Efficient Delivery System.”