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I'm incredibly thrilled to share that our project on competitive robot table tennis, Ace, has been published today on the cover of @Nature
For 40+ years, building a robot that could rally with an elite human table tennis player at full speed was an unsolved problem. Sony AI's Ace research project set out to change that—and the results are now accepted for publication in @Nature and featured on the cover.
#ECCV in 2 weeks! Attending & into vision for sports, tracking, real-time perception, or event cameras? Check out our spotlight paper: “Event-based Gaze Control Systems for Real-time Spin Estimation in Professional Ball Games”, Fri Sep 11, 14:25 CEST (spotlight), 16:00 (poster)
Looking forward to discussing with you in Malmö
Paper: arxiv.org/abs/2606.26780
Demo: youtube.com/watch?v=nj4a0T24…
Excited to share that our “Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games” has been accepted to #ECCV2026.
This technology is used in the table tennis robot that beats professional players.
Paper: arxiv.org/abs/2606.26780
The @SonyAI_global table tennis robot: ace.ai.sony/
Latest match results and videos against professional players: ai.sony/blog/what-happened-a…
Curious to see how much more competitive our table tennis robot Ace has become since the #Nature paper? Check out the latest match results against 9 professional players — including two-time Olympic medalist and 2017 World No. 5 Miu Hirano.
Since our @Nature paper, #Ace won against seven pro table tennis players, including two-time Olympic silver medalist Miu Hirano, and world No. 26 @KiharaMiyuu. Learn how improvements across #RL, hardware, #perception, and more helped close the gap: bit.ly/440oyPM
Attending CVPR and interested in physical AI, perception, event cameras, or table tennis? 🏓Stop by the Sony booth (#329) to meet Asude Aydin from my team! She will be presenting our recent #Nature paper on the first table tennis robot capable of beating professional players.🔥
大変分かりやすい解説動画をありがとうございます！
ソニーAIロボットは如何にして卓球エリートに勝ったのか 論文から読み解くAIの潜在能力 youtu.be/jKnthsVSUJs?si=Zi8F… @YouTubeより
Low latency perception, agile robot HW, and dynamic control enable Ace to return the ball even when it suddenly changes its flight trajectory at net contact. Check out our project page for more details.ace.ai.sony/
Check out the story behind our work on the first table tennis robot that compete with professional players under the official rules.
Incredibly proud of being a part of this project.
youtu.be/FrGq8ltb-_E?is=IRZw…
Naoya Takahashi retweeted
AIロボット、卓球で人間に勝つ 全国大会選手と対戦、ソニーが開発 asahi.com/articles/ASV4Q0RN8…
ソニーAIなどの研究チームは、卓球の国内トップクラスの選手にも勝てるAI（人工知能）ロボットを開発した。8関節の腕でラケットを操り、スピンやネットインにも対応。
Ace outplayed several professional and elite players in table tennis for the first time, demonstrating very fast and robust perception, control, and robot hardware.
Project page: ace.ai.sony/
Paper: nature.com/articles/s41586-0…
Naoya Takahashi retweeted
For 40+ years, building a robot that could rally with an elite human table tennis player at full speed was an unsolved problem. Sony AI's Ace research project set out to change that—and the results are now accepted for publication in @Nature and featured on the cover.
Naoya Takahashi retweeted
💫Proud to share that #FHIBE has been featured on the cover of @Nature. The issue spotlights images from our globally diverse, consent-driven dataset designed to benchmark fairness in AI. Read the full feature via Nature: bit.ly/4pIpcu3
Our paper titled "SilentCipher: Deep Audio Watermarking" got accepted in @ISCAInterspeech 2024. Watermarking signal introduced by SilentCipher is inaudible even in challenging band-limited and silent regions, yet is robust to variety of distortions.
arxiv.org/pdf/2406.03822
Naoya Takahashi retweeted
🤯 Lowkey Goated When Spatial Recordings Is The Vibe! 🎧 Check out this audio-visual dataset of real scenes with spatiotemporal annotations from @zuNaoya, Kazuki Shimada et al. 🔗 deepai.org/publication/stars… #SoundEvents