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Jason Kim
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Jason Kim
@jsonbot117
🔥#Legged_Robot_SLAM, State Estimation & Locomotion🔥Open Source Robotics / URobotics research
Entrou em Aralık 2016
928 Seguindo1.4K Seguidores
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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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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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@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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Last year when world models flooded, many researchers and engineers gave me advice on why we should still hold on SLAM.
Now we seem like we are getting the point.
Bruno Santos🇵🇹@brunoeducsant
OpenAI is hiring for SLAM engineer. Who would say.
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@hEnka_robots @KKawaharazuka I can’t wait to see tour next adventure. Have fun on your research 🦾🦾
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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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We're proud to see MANUS gloves featured in the Titan o1 launch video, capturing the human side of teleoperation with the precision this technology demands. Congrats @westlake_robot!
WestlakeRobotics@westlake_robot
Titan o1: Bridging worlds in a heartbeat❤️❤️❤️. With the upgraded GAE model, we’ve unified dexterous manipulation and full-body movement like never before. Experience seamless cross-body integration that brings the "far away" right to your fingertips. Titan o1. Be there, from anywhere.🎆🎆🎆 #AI #Robots #EmbodiedAI #ChineseNewYear2026 #Humanoid
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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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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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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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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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