Tetsuya Ogata / 尾形哲也
@tetsuyaogata1
早稲田大学教授 / AIST特定フェロー / NII客員教授 / AIロボット協会 (AIRoA) 理事長 / JST CREST「実環境知能システム」研究総括 / JST Moonshot目標3 総合研究PM
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Introducing AIRoA-0 (A-0) 🤖
A VLA that learns long-horizon, precise bimanual manipulation from 16,151 hours of robot-free data.
Co-led with the amazing @yh_kris 🙌
Weights, dataset, code & recipe are open. 🔗 🧵👇
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Introducing A-0: a complete robot learning system built on 16k hours of human demonstrations, with zero hours of robot data collected.
It spans data processing, pre-training, post-training and the inference harness, and it's embodiment-agnostic: the same weights run long-horizon, precise manipulation on four different robots. All the data is recorded with YUBI, our handheld gripper.
▶️ More demos and details:
The paper is out today, and we're releasing the code, weights and dataset:
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Three AIRoA research papers and a YUBI(Yielding Universal Bidigital Interface) demo proposal have been accepted to #CoRL2026！# 🎉
Find us in Austin for:
• 3 paper presentations
• Interactive YUBI demo in the official Demo Area, Nov 9–10
• “The UMI Arena” workshop, Nov 12
• Live Franka + YUBI and ELEY demos at Booth 210
🔗
#RobotLearning# #Robotics# #PhysicalAI# #VLA#
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AIRoA Consolidates R&D and Corporate Functions at Its Heiwajima Facility
AIRoA has consolidated R&D and corporate functions at its 3,500 m² #Heiwajima# facility.
The hub integrates robot data collection, foundation model R&D and validation using physical robots. Expanding to #Miraikan# and #Kyoto#.
Learn more:
#AIRoA# #PhysicalAI#
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🏆 Best Poster Award at RSEI 2026
On July 20, Take Ohkawa (@tkhkaeio) of AIRoA presented the following work in both an oral presentation and a poster session at the Research Summit for Egocentric Intelligence 2026, held at Meta’s Redmond campus, and received the Best Poster Award.
“EgoYUBIs: Portable Robot Data Collection with Bimanual Handheld Grippers via Egocentric Perception”
The research proposes a portable robot data-collection approach combining egocentric perception with YUBI, a bimanual data-collection device, and evaluates the effectiveness of the collected data for robot learning.
Congratulations to Take and the entire development team!
#AIRoA# #YUBI# #Robotics# #RobotLearning# #EgocentricAI#
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