sim2real (@sim2realaiorg) 's Twitter Profile
sim2real

@sim2realaiorg

We are indexing the progress in simulations to real world transfer in perception and control. sim2realai.github.io

Managed by @ankurhandos

ID: 1021070439668305920

linkhttp://sim2realai.github.io calendar_today22-07-2018 16:32:18

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Intelligent Autonomous Systems Group (@ias_tudarmstadt) 's Twitter Profile Photo

Need Sim2Real baselines? On finishing his PhD with us, Fabio has released version 1.0 of SimuRLacra github.com/famura/SimuRLa… a PyTorch-based RL framework focusing on Sim2Real transfer methods

sim2real (@sim2realaiorg) 's Twitter Profile Photo

Learning Vision-Guided Quadrupedal Locomotion end-to-end with Cross-Modal Transformers arxiv.org/abs/2107.03996 rchalyang.github.io/LocoTransforme…

Learning Vision-Guided Quadrupedal Locomotion end-to-end with Cross-Modal Transformers

arxiv.org/abs/2107.03996 

rchalyang.github.io/LocoTransforme…
Jamie Shotton (@jamie_shotton) 's Twitter Profile Photo

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.

Kentaro Wada (@wkentaro_) 's Twitter Profile Photo

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: safepicking.wkentaro.com Work with Stephen James Andrew Davison (1/n)

Luca Weihs (@lucaweihs) 's Twitter Profile Photo

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 (embodied-ai.org), dive into a challenge, and save the date!

Nick Locascio (@nick_locascio) 's Twitter Profile Photo

We at Standard AI 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 🚀 standard-ai.github.io/Standard-Sim/ arxiv.org/abs/2202.02418

We at <a href="/StandardAI/">Standard AI</a> 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 🚀

standard-ai.github.io/Standard-Sim/
arxiv.org/abs/2202.02418
sim2real (@sim2realaiorg) 's Twitter Profile Photo

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation arxiv.org/abs/2203.01929 zubair-irshad.github.io/projects/Cente…

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

arxiv.org/abs/2203.01929
zubair-irshad.github.io/projects/Cente…
Jason Peng (@xbpeng4) 's Twitter Profile Photo

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! github.com/NVIDIA-Omniver… There's also a retargeting script for loading new motion clips. Thanks to ViktorM🇺🇦, Gavriel State.

Eric Heiden (@eric_heiden) 's Twitter Profile Photo

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: eric-heiden.github.io/video2sim/ Paper: arxiv.org/abs/2203.10488

sim2real (@sim2realaiorg) 's Twitter Profile Photo

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. sim2real.github.io

sim2real (@sim2realaiorg) 's Twitter Profile Photo

ProcThor - procedural generation of interactive and diverse 3D environments to train simulated embodied agents. arxiv.org/abs/2206.06994 procthor.allenai.org

ProcThor - procedural generation of interactive and diverse 3D environments to train simulated embodied agents. 

arxiv.org/abs/2206.06994

procthor.allenai.org