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Aleksandra Faust
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Aleksandra Faust
  • Home
  • CV
  • Publications
  • Outreach
  • News
  • More
    • Home
    • CV
    • Publications
    • Outreach
    • News
  • 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

    • "Visual Navigation Among Humans with Optimal Control as a Supervisor," Varun et al.

    • "Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments," Arias et al.

    • "Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter," Duisterhof et al.

  • 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

    • Model-based Reinforcement Learning for Multiagent Goal Alignment, Wang et al.

    • Safe Policy Learning for Continuous Control, Chow et al.

  • 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.”

* Equal contributions
aleksandra.faust <at> gmail.com  | Google Scholar | Twitter | LinkedIn | Google AI
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