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04:37

CoRL 2020, Spotlight Talk 345: Amodal 3D Reconstruction for Robotic Manipulation via Stability an…

**Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity** William Agnew (University of Washington)*; Christopher Xie (University of Washington); Aaron Walsman (University of Washington); Octavian Murad (University of Washington); Yubo Wang (University of Washington); Pedro Domingos (University of Washington); Siddhartha Srinivasa (University of Washington) Publication: http://corlconf.github.io/paper_345/ **Abstract** Learning-based 3D object reconstruction enables single- or […]
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04:55

CoRL 2020, Spotlight Talk 101: Modeling Long-horizon Tasks as Sequential Interaction Landscapes

“**Modeling Long-horizon Tasks as Sequential Interaction Landscapes** Soeren Pirk (Google)*; Karol Hausman (Google Brain); Alexander Toshev (Google); Mohi Khansari (X, The Moonshot Factory) Publication: http://corlconf.github.io/paper_101/ **Abstract** Task planning over long-time horizons is a challenging and open problem in robotics and its complexity grows exponentially with an increasing number of subtasks. In this paper we present […]
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05:06

CoRL 2020, Spotlight Talk 526: Robust Policies via Mid-Level Visual Representations: An Experimen…

**Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation** Bryan Chen (UC Berkeley)*; Alexander Sax (UC Berkeley); Francis Lewis (Stanford); Iro Armeni (Stanford University); Silvio Savarese (Stanford University); Amir Zamir (Swiss Federal Institute of Technology (EPFL)); Jitendra Malik (University of California at Berkeley); Lerrel Pinto (NYU/Berkeley) Publication: http://corlconf.github.io/paper_526/ **Abstract** Vision-based robotics […]
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47:59

SingularityNET: Patternist Ethics, Empathic Robotics and Beneficial AGl – David Hanson

The AGI Society has organised its 13th Artificial General Intelligence Conference this year online. The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of […]
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05:01

CoRL 2020, Spotlight Talk 346: Learning an Expert Skill-Space for Replanning Dynamic Quadruped Lo…

“**Learning an Expert Skill-Space for Replanning Dynamic Quadruped Locomotion over Obstacles** David Surovik (University of Oxford)*; Oliwier Melon (University of Oxford); Mathieu Geisert (University of Oxford); Maurice Fallon (University of Oxford); Ioannis Havoutis (“”Oxford Robotics Institute, Universtity of Oxford””) Publication: http://corlconf.github.io/paper_346/ **Abstract** Function approximators are increasingly being considered as a tool for generating robot motions […]
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04:51

CoRL 2020, Spotlight Talk 256: Hardware as Policy: Mechanical and Computational Co-Optimization u…

“**Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning** Tianjian Chen (Columbia University)*; Zhanpeng He (Columbia University); Matei Ciocarlie (Columbia) Publication: http://corlconf.github.io/paper_256/ **Abstract** Deep Reinforcement Learning (RL) has shown great success in learning complex control policies for a variety of applications in robotics. However, in most such cases, the hardware of the robot […]
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41:16

SingularityNET: Opening & Introductory Keynote – Dr. Ben Goertzel – COVID-19 Simulation Summit

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speaker Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond. He has decades of expertise applying AI to practical problems in areas […]
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45:17

Durk Kingma Interview – Block-Sparse Kernels for Deep Neural Networks

The show is part of a series that I’m really excited about, in part because I’ve been working to bring them to you for quite a while now. The focus of the series is a sampling of the interesting work being done over at OpenAI, the independent AI research lab founded by Elon Musk, Sam […]
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04:33

CoRL 2020, Spotlight Talk 286: A User’s Guide to Calibrating Robotic Simulators

**A User’s Guide to Calibrating Robotic Simulators** Bhairav Mehta (MIT)*; Ankur Handa (NVIDIA); Dieter Fox (NVIDIA); Fabio Ramos (NVIDIA, The University of Sydney) Publication: http://corlconf.github.io/paper_286/ **Abstract** Simulators are a critical component of modern robotics research. Strategies for both perception and decision making can be studied in simulation first, before deployed to real world systems, saving […]
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06:45

CoRL 2020, Spotlight Talk 142: Sim-to-Real Transfer for Vision-and-Language Navigation

“**Sim-to-Real Transfer for Vision-and-Language Navigation** Peter Anderson (Google)*; Ayush Shrivastava (Georgia Institute of Technology); Joanne Truong (Georgia Institute of Technology); Arjun Majumdar (Georgia Tech); Devi Parikh (Georgia Tech & Facebook AI Research); Dhruv Batra (Georgia Tech & Facebook AI Research); Stefan Lee (Oregon State University) Publication: http://corlconf.github.io/paper_142/ **Abstract** We study the challenging problem of releasing […]
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46:08

Models for Human-Robot Collaboration with Julie Shah – #538

Today we’re joined by Julie Shah, a professor at the Massachusetts Institute of Technology (MIT). Julie’s work lies at the intersection of aeronautics, astronautics, and robotics, with a specific focus on collaborative and interactive robotics. In our conversation, we explore how robots would achieve the ability to predict what their human collaborators are thinking, what […]
SingularityNET: Decentralized Future – Should Humans Regulate AI? | Frank Pasquale, Steve Fuller & Luke Robert Mason
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SingularityNET: Decentralized Future – Should Humans Regulate AI? | Frank Pasquale, Steve Fuller & Luke Robert Mason

With massive investments behind Artificial Intelligence technologies, the question becomes: what is the appropriate way we should safeguard development? Professor Frank Pasquale (Brooklyn School of Law) and Professor Steve Fuller (University of Warwick) join Luke Robert Mason (FUTURES Podcast) to debate the following premise: “Humans should govern the technologies of automation (such as AI and […]
CoRL 2020, Spotlight Talk 465: Self-Supervised Learning of Scene-Graph Representations for Robotics
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05:01

CoRL 2020, Spotlight Talk 465: Self-Supervised Learning of Scene-Graph Representations for Robotics

**Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning** Son Nguyen (University Stuttgart)*; Ozgur Oguz (Uni. of Stuttgart & Max Planck Inst. for Intelligent Systems ); Valentin Hartmann (University of Stuttgart); Marc Toussaint (Technische Universität Berlin) Publication: http://corlconf.github.io/paper_465/ **Abstract** We present a self-supervised representation learning approach for visual reasoning and integrate it into a […]

This Robot will Cook Your Food By 2022

Miso Robotics’ Flippy 2 Robot promises to be the first household robot that any person or small buisness could buy to help prepare and make food inside of a kitchen without any big changes having to be made. This looks like it could be the first glimpse into a future in which robots help us […]

CoRL 2020, Spotlight Talk 481: Chaining Behaviors from Data with Model-Free Reinforcement Learning

“**Chaining Behaviors from Data with Model-Free Reinforcement Learning** Avi Singh (UC Berkeley)*; Albert Yu (UC Berkeley); Jonathan Yang (UC Berkeley); Jesse Zhang (UC Berkeley); Aviral Kumar (UC Berkeley); Sergey Levine (UC Berkeley) Publication: http://corlconf.github.io/paper_481/ **Abstract** Reinforcement learning has been applied to a wide variety of robotics problems, but most of such applications involve collecting data […]
CoRL 2020, Spotlight Talk 448: DeepMPCVS: Deep Model Predictive Control for Visual Servoing
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04:57

CoRL 2020, Spotlight Talk 448: DeepMPCVS: Deep Model Predictive Control for Visual Servoing

“**DeepMPCVS: Deep Model Predictive Control for Visual Servoing** Pushkal Katara (Robotics Research Center, IIITH)*; Harish Y V S (IIIT HYDERABAD); Harit Pandya (University of Lincoln); Abhinav Gupta (International Institute of Information Technology (IIIT), Hyderabad); AadilMehdi Sanchawala (International Institute of Information Technology, Hyderabad); Gourav Kumar (TCS Innovation labs Kolkata); Brojeshwar Bhowmick (Tata Consultancy Services); Madhava Krishna […]
CoRL 2020, Spotlight Talk 263: StrObe: Streaming Object Detection from LiDAR Packets
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04:53

CoRL 2020, Spotlight Talk 263: StrObe: Streaming Object Detection from LiDAR Packets

“**StrObe: Streaming Object Detection from LiDAR Packets** Davi Frossard (Uber Advanced Technologies Group / University of Toronto)*; Shun Da Suo (Uber ATG, University of Toronto); Sergio Casas (University of Toronto); James Tu (Uber ATG); Raquel Urtasun (Uber ATG) Publication: http://corlconf.github.io/paper_263/ **Abstract** Many modern robotics systems employ LiDAR as their main sensing modality due to its […]
CoRL 2020, Spotlight Talk 348: Same Object, Different Grasps: Data and Semantic Knowledge for Tas…
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05:08

CoRL 2020, Spotlight Talk 348: Same Object, Different Grasps: Data and Semantic Knowledge for Tas…

“**Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping** Adithyavairavan Murali (Carnegie Mellon University Robotics Institute)*; Weiyu Liu (Georgia Institute of Technology); Kenneth Marino (Carnegie Mellon University); Sonia Chernova (Georgia Institute of Technology); Abhinav Gupta (CMU/FAIR) Publication: http://corlconf.github.io/paper_348/ **Abstract** Despite the enormous progress and generalization in robotic grasping in recent years, existing methods […]
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04:56

CoRL 2020, Spotlight Talk 506: ContactNets: Learning Discontinuous Contact Dynamics with Smooth, …

**ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations** Samuel Pfrommer (University of Pennsylvania); Mathew Halm (University of Pennsylvania)*; Michael Posa (University of Pennsylvania) Publication: http://corlconf.github.io/paper_506/ **Abstract** Common methods for learning robot dynamics assume motion is continuous, causing unrealistic model predictions for systems undergoing discontinuous impact and stiction behavior. In this work, we resolve this […]
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05:05

CoRL 2020, Spotlight Talk 421: TriFinger: An Open-Source Robot for Learning Dexterity

“**TriFinger: An Open-Source Robot for Learning Dexterity** Manuel Wuthrich (Max Planck Institute for Intelligent Systems)*; Felix Widmaier (MPI for Intelligent Systems, Tübingen); Felix Grimminger (Max Planck Institute for Intelligent Systems); Shruti Joshi (IIT Kanpur); Vaibhav Agrawal (Max Planck Institute for Intelligent Systems); Bilal Hammoud (Max Planck Institute for Intelligent Systems); Majid Khadiv (Max Planck Institute […]
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05:06

CoRL 2020, Spotlight Talk 386: PLAS: Latent Action Space for Offline Reinforcement Learning

“**PLAS: Latent Action Space for Offline Reinforcement Learning** Wenxuan Zhou (Carnegie Mellon University)*; Sujay Bajracharya (Carnegie Mellon University); David Held (CMU) Publication: http://corlconf.github.io/paper_386/ **Abstract** The goal of offline reinforcement learning is to learn a policy from a fixed dataset, without further interactions with the environment. This setting will be an increasingly more important paradigm for […]
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27:25

SingularityNET: Awakening Health – Dr. David Hanson and Sophia the Robot's Keynote at D.OS 2020

The combination of humanlike robotics with the latest healthcare assistant tech and a powerful suite of AI tools empowers Awakening to deliver services at an unprecedented low cost, disrupting markets and helping patients worldwide. With social robots that engage people in naturalistic face-to-face interactions, Awakening cures the pains of the medical system. This is done […]
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05:06

CoRL 2020, Spotlight Talk 91: SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Ob…

“**SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation** Xingyu Lin (Carnegie Mellon University)*; Yufei Wang (Carnegie Mellon University); Jake Olkin (CMU); David Held (CMU) Publication: http://corlconf.github.io/paper_91/ **Abstract** Manipulating deformable objects has long been a challenge in robotics due to its high dimensional state representation and complex dynamics. Recent success in deep reinforcement learning provides […]