multi-agent & multi-robot research @AIResearchAIST ← @Cambridge_CL ← PhD @tokyotech_en / tweets are my own
Tokyo 🗼
Joined June 2013
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Super excited to share that our work is now published in Nature Portfolio #npjRobotics 🥳
"Concrete Multi-Agent Path Planning Enabling Kinodynamically Aggressive Maneuvers"
K Okumura, G Yang, Z Gao, H Woo & A Prorok
📄Paper nature.com/articles/s44182-0…
📽️Video youtube.com/watch?v=41kPW6Jw…
オースティンで開催されるCoRL-26参加予定です。ポスターで発表1件あります
Heading to #CoRL2026 ✈️ We'll be presenting our work on multi-robot imitation learning during Poster Session 1 on 9 Nov (Mon).
Our work: "Learning Coordinated Visuomotor Box-Pushing from Solo Demonstrations"
arxiv.org/abs/2610.05677
See you there 🇺🇸
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Heading to #CoRL2026 ✈️ We'll be presenting our work on multi-robot imitation learning during Poster Session 1 on 9 Nov (Mon).
Our work: "Learning Coordinated Visuomotor Box-Pushing from Solo Demonstrations"
arxiv.org/abs/2610.05677
See you there 🇺🇸
👀 Workshop on Multi-Agent Path Finding (WoMAPF) at AAAI-27
wo-mapf.github.io/aaai27/
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めちゃ嬉しいワークだ、RLのやつ見たときからもっとうまくできると思っていたので
arxiv.org/abs/2610.36250
"cuArms: GPU-Accelerated Conflict-Based Planning for Multi-Arm Manipulation"
cuarms.github.io/
From Nvidia. Really happy to see that PIBT+LaCAM can now solve the multi-arm coordination problem so effectively!
"cuArms: GPU-Accelerated Conflict-Based Planning for Multi-Arm Manipulation"
cuarms.github.io/
From Nvidia. Really happy to see that PIBT+LaCAM can now solve the multi-arm coordination problem so effectively!
Thank you for featuring our research 😉
Here is our paper, which will appear at #CoRL2026
"Learning Coordinated Visuomotor Box-Pushing from Solo Demonstrations"
arxiv.org/abs/2610.05677
Researchers in Japan taught 40 robots to work together using AI trained on demonstrations from just one robot, with no communication required. hackster.io/news/robots-get-…
KOの論文セット悪魔合体させたような論文の査読をしていて、執筆スタイルも模倣されており、誰かができそうなレベルまで技術エキスポート意図的にしてるし、誰かやってくれるのは嬉しいし、読みやすいんだけど、これはこれでどうなんだ… 私じゃないよ諸君…
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Tutorial on Scalable Multi-Robot Planning: From MAPF Algorithms to Real Robotic Systems
youtube.com/watch?v=EkfmFfDh…
#IROS2026 で行った、マルチエージェント経路計画の実ロボ展開へ向けてのチュートリアル録画が公開されました
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拡散モデルのデノイジング機構を利用したマルチロボット軌道生成の論文が、ロボティクス系のトップジャーナルであるIEEE T-ROに掲載されました、めでたいっ 🎉
Excited to share that our work on multi-robot trajectory planning has now been published in IEEE Transactions on Robotics @IeeeTro 🥳
"Denoising Multi-Robot Trajectories"
Y Zhang, KO, A Shankar & A Prorok
🔗 Paper ieeexplore.ieee.org/document…
📄 arXiv arxiv.org/abs/2609.35651
Excited to share that our work on multi-robot trajectory planning has now been published in IEEE Transactions on Robotics @IeeeTro 🥳
"Denoising Multi-Robot Trajectories"
Y Zhang, KO, A Shankar & A Prorok
🔗 Paper ieeexplore.ieee.org/document…
📄 arXiv arxiv.org/abs/2609.35651
Building upon our D4orm (IROS'25), this journal extension takes diffusion-inspired multi-robot trajectory optimisation further, with additional theoretical analysis and new planning architectures for decoupled, online, and distributed operation.
IROS'25: arxiv.org/abs/2503.12204
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ロボット学習の国際会議CoRL-26の採択論文を公開しました🎉
協調タスクを解く自律分散ポリシーを、ロボット1台のテレオペデータだけから、模倣学習で設計できるか？というお話
Excited to share our latest work on multi-robot learning, to be presented at #CoRL2026 !
"Learning Coordinated Visuomotor Box-Pushing from Solo Demonstrations"
R Matsumoto, M Kinjo, Y Sasaki & KO.
📄 Paper arxiv.org/abs/2610.05677
🎥 Video youtube.com/watch?v=J9KfPI-h…