🥳🥳🥳🥳🥳🥳 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: https://t.co/qUhs2G4RXO

I am presenting our paper on continuous-wave LIDAR sensor simulation @icra2020 where we use automatic differentiation to estimate simulation parameters from real-world measurements. Paper: https://t.co/nPS4StLp4E Video: https://t.co/UflQfgM8S5 https://t.co/1m0Htealb8

Excited to share my latest work on "Model-based Generalization under Parameter Uncertainty using Path Integral Control" out at #ICRA2020 . w/ @ankurhandos , Nathan, Kendall, @todd_murphey, Dieter Fox checkout videos+paper https://t.co/Y2d8HsIdJm on #ICRA2020 slack: #mod08_3

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: https://t.co/12pYtubozG #ICML2020

Traversing the Reality Gap via Simulator Tuning https://t.co/vhTaYhxa10

Bayesian Domain Randomization for Sim-to-Real Transfer https://t.co/5ECtXnV19j

Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors https://t.co/jfjwvn7qMA

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: https://t.co/ZaLQEIBH9w

Facebook's RIDE encourages AI agents to explore their environments https://t.co/FP0shZs6db by @Kyle_L_Wiggers

Benchmarking Simulated Robotic Manipulation through a Real World Dataset https://t.co/HJfsXt5Vfg

Gym-Ignition: Reproducible Robotic Simulations For Reinforcement Learning https://t.co/1JiOy7DzGn

Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation for Semantic Segmentation in Robot Soccer https://t.co/FQK7D1gfH2

DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning https://t.co/ENyNzlw1jk

I wrote a guide on transferring neural networks from simulation to the real world:

Sim2real transfer learning for 3D pose estimation: motion to the rescue https://t.co/F3II1gqZrH

We released our physics engine and a few RL examples. Check out our github repos below! raisimLib ( https://t.co/BdjMOhxEI2): simulator raisimOgre ( https://t.co/31zFyqpdUi): visualizer raisimGym ( https://t.co/Yf8lcMzZXu): gym examples

Synthetic Data for Deep Learning https://t.co/4sJ3vFvnJS

RLBench: The Robot Learning Benchmark & Learning Environment https://t.co/p2ZQK8xzBt website: https://t.co/P4aMGHpTd3

Assistive Gym: A Physics Simulation Framework for Assistive Robotics https://t.co/yfPuwwhPJK

Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer https://t.co/Gyhbn67MCU