ProcThor - procedural generation of interactive and diverse 3D environments to train simulated embodied agents.
https://t.co/jJUW4TJE57
https://t.co/DpuL0UPelR
The third workshop on sim2real transfer for robotics is happening at R:SS 2022 at New York City on June 27th. Please consider submitting your recent work on sim2real here.
https://t.co/ZaLQEIk6hY
The third workshop on sim2real transfer for robotics is happening at R:SS 2022 at New York City on June 27th. Please consider submitting your recent work on sim2real here.
https://t.co/ZaLQEIk6hY
We introduce a new method to learn simulators from depth and RGB videos. The "URDF" of an articulated rigid-body mechanism is reconstructed, and the parameters of the simulator inferred through Bayesian inference.
Website: https://t.co/lCiaVQGHAg
Paper: https://t.co/sKfLvmr6mo
We have released a super fast implementation of AMP using @nvidia's Isaac Gym. Models that used to take days to train can now be trained in minutes!
https://t.co/87JanYx6mP
There's also a retargeting script for loading new motion clips.
Thanks to @viktor_m81, @gavrielstate.
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation
https://t.co/C6Cb2w2eQ3
https://t.co/mPq9HbKs0H
We at @StandardAI are thrilled to introduce StandardSim, a Photorealistic Synthetic #dataset for #AI research in Retail Environments! 25K+ high-resolution multi-view renders with pixel-perfect labels 🚀
https://t.co/weEWOtfWyK
https://t.co/4HqxRSFMIp
We are releasing MOTSynth, the largest dataset for Pedestrian Detection and Tracking.
Expect to obtain better real-world performances by training your model on this data only.
It's synthetic, but it's for real! https://t.co/EHAt4RRhZD
Happy to announce that the 3rd Embodied AI Workshop is happening on June 19th at #CVPR2022. Lots of exciting speakers and 13 (!!!) challenges. Check out our website (https://t.co/D1pV3i4I2P), dive into a challenge, and save the date!
Released our work on object extraction: SafePicking #ICRA2022! This robotic system finds and “safely” extracts target objects via known object mapping with an onboard camera. Check out the project page for paper/code: https://t.co/8siC6EjmVD
Work with @stepjamUK@AjdDavison (1/n)
Realistic and diverse simulation is a crucial tool for building AV2.0 - safe, scalable, and adaptable learned driving. If you share our passion for sim and AV, and want to work in a dynamic and diverse team at the forefront of AI, get in touch at [email protected]@wayve_ai.
Need Sim2Real baselines? On finishing his PhD with us, Fabio has released version 1.0 of SimuRLacra https://t.co/huGU30z3Gh
a PyTorch-based RL framework focusing on Sim2Real transfer methods