Jason Kim

🔥#Legged_Robot_SLAM, State Estimation & Locomotion🔥Open Source Robotics / Now at URobotics, MS. EECS

[Jason Kim @jsonbot117]

Huge thanks to @spaceandtech_ for featuring E-dongkit!

As a research member Spatial Intelligence and System Integration, I’m glad to see our progress being shared. Our team is dedicated to achieving Robust Field Autonomy for legged robots—ensuring they can navigate the most unpredictable, off-road environments with precision.

Building robots that can truly "see" and "act" in the wild is a massive challenge, but it's one we tackle with passion every day.

Stay tuned as we continue to push the boundaries of what legged robots can do!

[Space and Technology @spaceandtech_]

South Korea-based URobotics unveiled the E-Dong-Kit, a module for quick robot integration.

It enables advanced navigation and stable movement in real-world environments.

In demos, humanoid robots move smoothly and run alongside humans, showing practical, human-friendly mobility.

[Frank Dellaert @fdellaert]

Nice new blog post by David Rosen on certifiable factor graph optimization in GTSAM: https://t.co/PwTOQASHBC

Together with the chordal SDP work I posted about recently, this should soon lead to some very cool new certifiable optimization features in GTSAM!!!

[Salim Azak @ ICRA2026 @salimazak]

#ICRA2026 paper
"DroneKey++: A Size Prior-free Method and New Benchmark for Drone 3D Pose Estimation from Sequential Images"
@bini_und, Yeong-Jun Cho
abs: https://t.co/mkNptujSQn

[Jason Kim @jsonbot117]

@dev_mizodd ㅘ

[DEEP Robotics @DeepRobotics_CN]

Performance Upgraded. Possibilities Expanded.

Our DR02 humanoid robot continues to evolve with enhanced payload capacity and obstacle-crossing capabilities, unlocking greater potential for real-world industry applications !

[C. Zhang @ChongZzZhang]

Cool work led by @ctki49 @mxu_cg @KehanWen170077
collaboration between @leggedrobotics @xbpeng4

https://t.co/ugS5B7XjyB

[C. Zhang @ChongZzZhang]

https://t.co/531oWVobqF

In this work we explored how to repurpose terrain-aware human locomotion skills in a scalable and versatile way: like the action-free world model, we predict how humans will move online, and then let the humanoid track it with RL.

[Jason Kim @jsonbot117]

@bandoman___ 언넝 갈게요

[Jason Kim @jsonbot117]

@bandoman___ 언제들고가지

[Jason Kim @jsonbot117]

@bini_und 헝 부럽다….

[Taku Okawara @NNUNNTT]

9:00-10:30
Hall C

[Taku Okawara @NNUNNTT]

「特徴の欠如」と「地形条件変化」に頑強な LiDAR-IMU-Leg Odometry を明日の ICRA2026 にて発表します。

@k_koide3 の元での、ラストの修行成果です。

https://t.co/FMOeYxyynO

#robot

[Robotics Papers @OWW]

Equivariant Filter for Radar-Inertial Odometry

Giulio Delama, Jan Michalczyk, Morten Nissov, Martin Scheiber, Alessandro Fornasier, Kostas Alexis, Stephan Weiss
https://t.co/7QPP3ak8hH [𝚌𝚜.𝚁𝙾]

[Chris Paxton @chris_j_paxton]

We talk a lot about how deep learning can enable new robot capabilities but a lot less about how we can use it to make robot capabilities more resilient and therefore make robots more deployable

Slide from an interesting talk by Prof Kostas Alexis in robots in the wild workshop at icra

[Frank Dellaert @fdellaert]

At #ICRA2026, certifiable optimization is having a moment. Our workshop paper with Avinash Subramanian, Connor Holmes, Tim Barfoot & Frederike Dümbgen brings chordal sparsity + Bayes trees to globally optimal factor-graph estimation in GTSAM. Blog post and arxiv link in the replies.

[Weishuai Zeng @ ICRA 2026 @weishuaizeng]

We are arriving in ICRA, Vienna for presenting our Behavior Foundation Model for Humanoid Robots at Interactive Session 1 (Hall C), TuI1I.120, June 2nd.

Come and strike up a conversation on anything about humanoid robots and beyond~

[Jason Kim @jsonbot117]

@bandoman___ @ratygal 내가 이럴줄 알았다

[Jason Kim @jsonbot117]

@ratygal 진짜 독하다

[よこしゃん｜ヒューマノイド最前線🤖 @yokoshaan]

ヒューマノイドに「人間のように走らせる」新手法が、人間の動きを手本にせず実現する形で発表されました。

歩行はキネマティック参照（人間の歩き方データ）を使って学習させるのが主流ですが、走行は参照データが乏しく安定維持が難しい課題でした。新手法『SPRINT』は、参照動作なしで、走る動きの周波数特性を踏まえた事前情報だけからロボットが自分で安定スプリントを学ぶ枠組みです。シミュレーション・実機の両方で人間に近い疾走パターンを確認しました。

ヒューマノイドの能力が「歩く」から「走る・運動する」へ広がる基礎研究です。災害現場や警備など、機動性が要求される実用域への適用が見えてきます。

[Shimada🍤 @nanoshimarobot2]

Excited to present our work, “Tightly-Coupled Dynamic Object Tracking and RGB-D Inertial Odometry Estimation with Dual Quadrics,” at #ICRA2026！

Our method enables robust odometry in highly dynamic environments.

Thanks to my advisors @k_koide3, @MR2T_AIST and Prof. Jun Miura.

[Jason Kim @jsonbot117]

@nanoshimarobot2 @k_koide3 @MR2T_AIST Congrats!!!!