multi-agent & multi-robot research @AIResearchAIST ← @Cambridge_CL ← PhD @tokyotech_en / tweets are my own
Tokyo 🗼
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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 piped.video/watch?v=41kPW6Jw…
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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-…
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Keisuke Okumura retweeted
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-…
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Keisuke Okumura retweeted
ソルバーの皆様，お久しぶりです！
Human MAPF Contest 002を開催します！
ぜひご参加ください！！
Human MAPFは人力でマルチエージェント経路計画を解くパズルゲームです．
hirokinagai-39.github.io/hum…
#HumanMAPF
Made with AI
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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
piped.video/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
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We demonstrate the versatility of the framework through large-scale planning with 100 simulated robots, zero-shot deployment on 10 real drones, and fully onboard distributed lifelong operation with six ground robots.
🎬 Video piped.video/watch?v=sK6mr42a…
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Through this project with my colleagues at Cambridge, I have enjoyed sampling-based optimisation – a different planning paradigm to combinatorial search. Many thanks to my co-authors 😊
💻 Code github.com/proroklab/d4orm
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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
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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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Keisuke Okumura retweeted
ラズパイマウスの群れが攻めて来たぞ！🐀🤖
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 piped.video/watch?v=J9KfPI-h…
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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 piped.video/watch?v=J9KfPI-h…
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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 piped.video/watch?v=J9KfPI-h…
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So, can robots learn to coordinate from solo demonstrations? We systematically investigates this question using up to 40 robots, each operating with an onboard decentralised visuomotor policy without comm.
See you in Austin 🇺🇸 next month
corl.org/
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