Jason Kim

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Jason Kim

Jason Kim

@jsonbot117

🔥#Legged_Robot_SLAM, State Estimation & Locomotion🔥Open Source Robotics / URobotics research

Присоединился Aralık 2016
928 Подписки1.4K Подписчики
Закреплённый твит
Jason Kim
Jason Kim@jsonbot117·
I’ve been quite busy lately developing the Humanoid autonomy stack as a member of URobotics. Now after few months of hard work, our team is excited to share a short video showcasing the Humanoid autonomy stack, H-EDK. This is a short footage of our field locomotion demo.
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Robin R Murphy
Robin R Murphy@robinrmurphy·
/5 Project Hail Mary highlights that while space robots have huge potential, we need more proven systems. Advances continue to fill the gaps. Science fiction serves as a great reminder of the exciting adventure robotics offers humanity. Read the full article: science.org/doi/10.1126/sc…
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Robin R Murphy
Robin R Murphy@robinrmurphy·
explains why real-world space robotics isn’t ready for a crash 2-3 year development cycle — even for a desperate interstellar mission.1/5 Loved #ProjectHailMary? Wondered why the Eridians had space robots but we didn’t? A new@sciroboticsarticle by@robinrmurphy
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Ville🤖
Ville🤖@VilleKuosmanen·
@chris_j_paxton @datawarmup Wanting to replace SLAM feels like peak of dunning Kruger that every roboticist goes through before giving up and admitting everything would be so much easier if you just added SLAM
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Jason Kim
Jason Kim@jsonbot117·
@L42ARO Indeed We all should find our best ways to combine each to get the best actions
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Alvaro L
Alvaro L@L42ARO·
@jsonbot117 World models and SLAM will super power each other
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変化 hEnka
変化 hEnka@hEnka_robots·
東京大学AIセンターの河原塚研究室で,3月からRAをさせていただくことになりました! ロボットを設計したり動かしたい学生RAを追加で募集しているそうです 興味がある人は見学もできるとのことなので,詳しくは@KKawaharazuka先生か,私のDMでも(たぶん)大丈夫なので連絡してください!
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rsasaki0109
rsasaki0109@rsasaki0109·
Learning-based-3D-Vision A paper list for Learning-based 3D Vision.
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Frank Dellaert
Frank Dellaert@fdellaert·
Marginal covariance recovery has always been fast in @gtsam4 , as it exploits the structure of Bayes trees. Now, thanks to Steiner subtrees, it will be super fast for arbitrary covariance queries.
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MATLAB Japan
MATLAB Japan@MATLAB_Japan·
火星探査車(Mars Rover)が険しい地形をどのように走行するのか、その仕組みをご存知でしょうか?🤖 Simulink を使用すれば、接触力や速度制御アルゴリズムなどのシミュレーションが可能です。 火星探査車モデルはこちら ➡️ spr.ly/6012B6Y6ny #MATLAB #Simulink #MarsRover
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Kento Kawaharazuka / 河原塚 健人
1-3月は経産省のAIロボティクス戦略検討会議に, 錚々たるメンバーに紛れて参加させていただきました こんな時代だからこそ, 下手に一辺倒にならず, ロコモーション・マニピュレーション・ナビゲーション・インタラクションなど, 教育含め総合的に注力すべきだと思っています. meti.go.jp/shingikai/mono…
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dhruv
dhruv@ichnisanshi217·
@thepushkarp i loved the movie, statement. happy happy happy
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Chris Offner
Chris Offner@chrisoffner3d·
Christian Rupprecht explains their interpretability research in 3D computer vision, testing if (and where in the model) multi-view transformers like VGGT, DepthAnything 3, and DUSt3R use point/patch correspondences to make sense of 3D scene geometry.
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🇨🇳XuZhenqing徐祯卿
✨🇨🇳Unitree Robotics serves as hospital caregivers and assists in medical scenarios.
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rsasaki0109
rsasaki0109@rsasaki0109·
SOMA Retargeter SOMA BVH to humanoid robot motion retargeting library built with Newton and NVIDIA Warp github.com/NVIDIA/soma-re… Convert SOMA human motion captures into humanoid robot joint animation. Takes BVH motion files as input and produces robot-playable CSV joint data as output using GPU-optimized inverse kinematics via Newton and high-performance computation with NVIDIA Warp. The retargeting pipeline handles proportional human-to-robot scaling, multi-objective IK solving with joint limits, feet stabilization to maintain ground contact, and per-DOF joint limit clamping. Currently supports SOMA as the input skeleton and Unitree G1 (29 DOF) as the output robot. Additional robot targets are planned.
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Jason Kim
Jason Kim@jsonbot117·
Calibration issue 😒
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