PyPose
@pypose_org
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An open-source library for differentiable robotics.
Joined December 2021
Are you ready for the next level tool of robot learning? PyPose now joins the PyTorch Ecosystem! It aims to bridge the gap between deep learning and robotics algorithms. Sounds cool, right? Try it `pip install pypose`, star it on GitHub https://t.co/4A4qaG5vSX, and learn more
github.com
A library for differentiable robotics on manifolds. - pypose/pypose
Introducing PyPose, one of our latest ecosystem tools ๐ฅ PyPose is a PyTorch-based robotics-oriented library that provides a set of tools and algorithms for connecting deep learning with physics-based optimization. Learn more ๐ https://t.co/LyYVr7j120
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๐ Exciting News! ๐ Thrilled to share that our latest V-SLAM system, AirSLAM, has been officially accepted to IEEE Transactions on Robotics (TRO)! ๐ Weโre proud to make this open-source for the communityโfeel free to download, experiment, and innovate! ๐ https://t.co/Y1G6z8Fl31
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As we bid farewell to 2024 and enter 2025, weโre excited to share a summary of SAIR Labโs key milestones from this past year: https://t.co/iP1CMDbHZr. Looking ahead, our theme for 2025 is ๐ Transform ๐. A heartfelt thank you to all our team members! ๐
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What is Neural-Symbolic AI? How do we use it for Robot Autonomy? How to overcome the generalization challenge of RL and Imitation Learning? In this article ( https://t.co/kQpNZ1lec0), we introduce Imperative Learning, a Self-supervised Neural-Symbolic Framework as our answer.
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๐ Our work iSLAM: Imperative SLAM has been accepted to RA-L! โจ iSLAM introduces a novel self-supervised imperative learning framework, promoting mutual correction between front-end and back-end components. ๐ Learn more at https://t.co/HhtE565Wmb.
#SLAM #Robotics ๐ค
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We are organizing an IJRR Special Issue on "Foundation Models and Neural-Symbolic AI for Robotics". IJRR is one of the top robotics journals. Guest Editors include @DrChenWang, @jiajunwu_cs, @xf1280, @l_gionfrida, Anil Bharath, Alexander Gray. Details at https://t.co/wAzkMgkMvY
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The Theme of PyPose in 2024 will be ๐ Inclusion ๐. Happy New Year!
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๐ฉCheck out our latest breakthrough in Non-iterative SLAM! ๐ It's a novel visual SLAM method for warehouse robots with a single downward-facing camera leverages ground textures. ๐ค Watch our video presentation: https://t.co/odj8PPTLdc. Explore the code at:
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๐คDon't miss this remarkable session at #ICCV23 Workshop on Robot Learning and SLAM! ๐@michaelkaess from @CarnegieMellon presents "Learning for Sonar and Radar SLAM." ๐ Watch the video presentation at https://t.co/FxrVaLLhKL and dive into the slides at https://t.co/p8hLAXWITt.
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๐คThrilled to announce @_ayoungk from @SeoulNatlUni as a speaker at #ICCV23 Workshop on Robot Learning and SLAM! ๐Join the conversation on "Advancing SLAM with Learning: Integrating High-Level Scene Understanding with Non-conventional Sensors." ๐ Watch the video presentation at
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๐คJoin us for an exciting session at #ICCV23 Workshop on Robot Learning and SLAM! ๐@l_gionfrida from @KingsCollegeLon presents "Advancing the Role of SLAM-Based Active Mapping in Wearable Robotics." ๐ Watch the video presentation at https://t.co/oefFLAgnlC and dive into the
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๐คExciting time at #ICCV23 Workshop on Robot Learning and SLAM: ๐ @shubhtuls from @CarnegieMellon presents "Probabilistic Pose Prediction." ๐ Watch the video presentation at https://t.co/pPBzRPZQfY and explore the slides at https://t.co/p8hLAXWITt. Don't miss this great talk!
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๐คExciting news! Tim Barfoot from @UofT is a featured speaker at #ICCV23 Workshop on Robot Learning and SLAM. ๐Join him as he discusses "Learning Perception Components for Long-Term Path Following." ๐Watch the video presentation at https://t.co/U84qIDA0Lt and dive into the
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๐ค Get ready for an enlightening session at #ICCV23 Workshop on Robot Learning and SLAM! ๐ Daniel Cremers from @TU_Muenchen presents "From Monocular SLAM to 3D Dynamic Scene Understanding." ๐ Watch the video presentation at https://t.co/pR5PtuCwqO and explore the slides at
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๐ค Prof. @AjdDavison from @imperialcollege is a featured speaker at #ICCV23 Workshop on Robot Learning and SLAM. ๐ Join him as he delves into "Distributed Estimation and Learning for Robotics." ๐ Watch his video presentation at https://t.co/1kri9GpohR and explore the slides at
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PyPose and its demo application Imperative SLAM presented at the #ICCV23 Workshop!
๐ Our lab leader @DrChenWang presented "Imperative SLAM and PyPose Library for Robot Learning" at #ICCV23 Workshop! ๐ See the video https://t.co/MNfNBQcqPm and slides https://t.co/p8hLAXWITt. ๐ Also, find more at https://t.co/HhtE565Wmb and https://t.co/dPp7De6Yvx. ๐ฉ Don't
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๐ค Letโs enjoy an extraordinary session at #ICCV23 Workshop on Robot Learning and SLAM! ๐ Marc Pollefeys @mapo1 from @ETH_en presents "Visual Localization and Mapping: From Classical to Modern." ๐ Watch the video at https://t.co/9K73kZQ5Pj and explore the slides at
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๐ค Get ready for another remarkable session at #ICCV23 Workshop on Robot Learning and SLAM! ๐ Ji Zhang from @CarnegieMellon dives into "From Lidar SLAM to Full-scale Autonomy and Beyond." ๐Don't miss out โ watch the video at https://t.co/UVu8Sy8PtT and explore the slides at
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๐คDon't miss @lucacarlone1 from @MIT as a featured speaker at #ICCV23 Workshop on Robot Learning and SLAM! ๐Join him on an exciting journey "From SLAM to Spatial Perception: Hierarchical Models, Certification, and Self-Supervision." ๐ Watch his video presentation at
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๐คThrilled to have @ShiboZhaoSLAM and Wenshan Wang from @AirLabCMU at @CMU_Robotics as speakers at #ICCV23 Workshop on Robot Learning and SLAM! ๐ Join them for a comprehensive summary of "ICCV23 SLAM Challenge". ๐Watch their video presentation at https://t.co/pggI5Xpc0o and
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