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Liquid.ai

Liquid.ai

@liquid_ai

Simplifying robotics

Mediterranean sea Katılım Mayıs 2019
557 Takip Edilen99 Takipçiler
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Open Robotics
Open Robotics@OpenRoboticsOrg·
🥳🥳🥳🥳🥳🥳 ANNOUNCING ROS 2: FOXY FIZTROY!!! It runs on Ubuntu 20.04, OSX, and Windows 10 with three years of support. Learn about all of the features and where to download the binaries in this blog post: openrobotics.org/blog/2020/6/5/…
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Microsoft Research
Microsoft Research@MSFTResearch·
The upcoming workshop on Learning in Artificial Open Worlds at @icmlconf has announced a call for papers. They're looking for work that focuses on, or is enabled by, machine learning in open worlds. Submissions are due by May 19, 2020: aka.ms/AA7xar3 #ICML2020
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sim2real
sim2real@sim2realAIorg·
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors arxiv.org/abs/2003.04663
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sim2real
sim2real@sim2realAIorg·
We'd like to draw your attention to the 2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics. It is a full day workshop at R:SS 2020 (Corvallis, Oregon, USA), 12th July, led by @hoeferse website: sim2real.github.io
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sim2real
sim2real@sim2realAIorg·
Benchmarking Simulated Robotic Manipulation through a Real World Dataset arxiv.org/abs/1911.01557
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sim2real
sim2real@sim2realAIorg·
Gym-Ignition: Reproducible Robotic Simulations For Reinforcement Learning arxiv.org/abs/1911.01715
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sim2real
sim2real@sim2realAIorg·
Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation for Semantic Segmentation in Robot Soccer arxiv.org/abs/1911.01529
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sim2real
sim2real@sim2realAIorg·
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning arxiv.org/abs/1911.01562
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sim2real
sim2real@sim2realAIorg·
Sim2real transfer learning for 3D pose estimation: motion to the rescue arxiv.org/abs/1907.02499
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sim2real
sim2real@sim2realAIorg·
Assistive Gym: A Physics Simulation Framework for Assistive Robotics arxiv.org/abs/1910.04700
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sim2real
sim2real@sim2realAIorg·
Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer arxiv.org/abs/1910.09471
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