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    Articles


    AWAC: Accelerating online reinforcement learning with offline datasets
    By Ashvin Nair and Abhishek Gupta Robots trained with reinforcement learning (RL) have the potential to be used across a huge variety of challenging real world problems. To apply RL to a new problem...
    30 September 2020, by

    Can RL from pixels be as efficient as RL from state?
    By Misha Laskin, Aravind Srinivas, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel A remarkable characteristic of human intelligence is our ability to learn tasks quickly. Most humans can learn...
    16 September 2020, by

    OmniTact: a multi-directional high-resolution touch sensor
    By Akhil Padmanabha and Frederik Ebert Touch has been shown to be important for dexterous manipulation in robotics. Recently, the GelSight sensor has caught significant interest for learning-based ...
    22 July 2020, by

    Next-generation cockroach-inspired robot is small but mighty
    By Leah Burrows This itsy-bitsy robot can’t climb up the waterspout yet but it can run, jump, carry heavy payloads and turn on a dime. Dubbed HAMR-JR, this microrobot developed by researchers at...
    24 June 2020, by

    Drones learn acrobatics by themselves
    Researchers from NCCR Robotics at the University of Zurich and Intel developed an algorithm that pushes autonomous drones to their physical limit....
    24 June 2020, by

    Unsupervised meta-learning: learning to learn without supervision
    By Benjamin Eysenbach and Abhishek Gupta This post is cross-listed on the CMU ML blog. The history of machine learning has largely been a story of increasing abstraction. In the dawn of ML, research...
    06 May 2020, by



    Robots learning to move like animals
    By Xue Bin (Jason) Peng Whether it’s a dog chasing after a ball, or a monkey swinging through the trees, animals can effortlessly perform an incredibly rich repertoire of agile locomotion skills. B...
    06 April 2020, by

    Does on-policy data collection fix errors in off-policy reinforcement learning?
    [latexpage] Reinforcement learning has seen a great deal of success in solving complex decision making problems ranging from robotics to games to supply chain management to recommender systems. Des...
    18 March 2020, by

    Emergent behavior by minimizing chaos
    By Glen Berseth All living organisms carve out environmental niches within which they can maintain relative predictability amidst the ever-increasing entropy around them (1), (2). Humans, for e...
    26 January 2020, by

    Data-driven deep reinforcement learning
    By Aviral Kumar One of the primary factors behind the success of machine learning approaches in open world settings, such as image recognition and natural language processing, has been the ability of...
    07 December 2019, by

    ROBOTT-NET pilot project: Cobots for safe and cheap assembly of frequency converters
    At Danfoss in Gråsten, the Danish Technological Institute (DTI) is testing, as part of a pilot project in the European robot network ROBOTT-NET, several robot technologies: Manipulation using force s...
    07 December 2019, by

    RoboNet: A dataset for large-scale multi-robot learning
    By Sudeep Dasari This post is cross-listed at the SAIL Blog and the CMU ML blog. In the last decade, we’ve seen learning-based systems provide transformative solutions for a wide range of percep...
    07 December 2019, by

    RoboBee powered by soft muscles
    By Leah Burrows The sight of a RoboBee careening towards a wall or crashing into a glass box may have once triggered panic in the researchers in the Harvard Microrobotics Laboratory at the Harvard Jo...
    06 November 2019, by

    Look then listen: Pre-learning environment representations for data-efficient neural instruction following
    By David Gaddy When learning to follow natural language instructions, neural networks tend to be very data hungry – they require a huge number of examples pairing language with actions in order to ...
    06 November 2019, by

    A swarm of autonomous tiny flying robots
    By K.N. McGuire, C. De Wagter, K. Tuyls, H.J. Kappen, G.C.H.E. de Croon Greenhouses, search-and-rescue teams and warehouses are all looking for new methods to enable surveillance in a manner that i...
    04 November 2019, by

    Functional RL with Keras and Tensorflow Eager
    By Eric Liang and Richard Liaw and Clement Gehring In this blog post, we explore a functional paradigm for implementing reinforcement learning (RL) algorithms. The paradigm will be that developers wr...
    21 October 2019, by

    A soft matter computer for soft robots
    Our work published recently in Science Robotics describes a new form of computer, ideally suited to controlling soft robots. Our Soft Matter Computer (SMC) is inspired by the way information is encode...
    03 October 2019, by

    Deep dynamics models for dexterous manipulation
    By Anusha Nagabandi Dexterous manipulation with multi-fingered hands is a grand challenge in robotics: the versatility of the human hand is as yet unrivaled by the capabilities of robotic systems...
    03 October 2019, by

    Complex lattices that change in response to stimuli open a range of applications in electronics, robotics, and medicine
    By Leah Burrows What would it take to transform a flat sheet into a human face? How would the sheet need to grow and shrink to form eyes that are concave into the face and a convex nose and chin th...
    03 October 2019, by

    Sample efficient evolutionary algorithm for analog circuit design
    By Kourosh Hakhamaneshi In this post, we share some recent promising results regarding the applications of Deep Learning in analog IC design. While this work targets a specific application, the propo...
    03 October 2019, by

    The DARPA SubT Challenge: A robot triathlon
    One of the biggest urban legends growing up in New York City were rumors about alligators living in the sewers. This myth even inspired a popular children’s book called “The Great Escape: ...
    03 October 2019, by

    A gentle grip on gelatinous creatures
    Jellyfish are about 95% water, making them some of the most diaphanous, delicate animals on the planet. But the remaining 5% of them have yielded important scientific discoveries, like green fluoresce...
    16 September 2019, by

    Robots can now learn to swarm on the go
    A new generation of swarming robots which can independently learn and evolve new behaviours in the wild is one step closer, thanks to research from the University of Bristol and the University of the ...
    25 August 2019, by

    A miniature stretchable pump for the next generation of soft robots
    By Laure-Anne Pessina and Nicola Nosengo Scientists at EPFL have developed a tiny pump that could play a big role in the development of autonomous soft robots, lightweight exoskeletons and smart clot...
    25 August 2019, by

    Suit up with a robot to walk AND run more easily
    By Benjamin Boettner Between walking at a leisurely pace and running for your life, human gaits can cover a wide range of speeds. Typically, we choose the gait that allows us to consume the least amo...
    25 August 2019, by

    Evaluating and testing unintended memorization in neural networks
    By Nicholas Carlini It is important whenever designing new technologies to ask “how will this affect people’s privacy?” This topic is especially important with regard to machine learning, where...
    14 August 2019, by

    Robot-ants that communicate and work together
    A team of EPFL researchers has developed tiny 10-gram robots that are inspired by ants: they can communicate with each other, assign roles among themselves and complete complex tasks together. These r...
    11 July 2019, by

    The RoboBee flies solo
    By Leah Burrows In the Harvard Microrobotics Lab, on a late afternoon in August, decades of research culminated in a moment of stress as the tiny, groundbreaking Robobee made its first solo flight....
    30 June 2019, by

    The world’s smallest autonomous racing drone
    Racing team 2018-2019: Christophe De Wagter, Guido de Croon, Shuo Li, Phillipp Dürnay, Jiahao Lin, Simon Spronk Autonomous drone racing Drone racing is becoming a major e-sports. Enthusiasts – ...
    22 June 2019, by

    1000x faster data augmentation
    In this blog post we introduce Population Based Augmentation (PBA), an algorithm that quickly and efficiently learns a state-of-the-art approach to augmenting data for neural network training. PBA...
    22 June 2019, by

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