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Computer Science > Robotics
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Outplaying elite table tennis players with an autonomous robot
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Abstract Artificial intelligence (AI) systems now challenge or surpass human experts in many computer games1,2. Physical and real-time sports such as table tennis, however, remain a major open challenge because of their requirements for fast, precise and adversarial interactions near obstacles and at the edge of human reaction time3. Here we present Ace, to our knowledge the first real-world autonomous system competitive with elite human table tennis players.
By Peter A. Durr, Mireille El Gheche, Guilherme Maeda, Nobuhiko Mukai, Naoya Takahashi, Stefan Heusser, Hamdi Sahloul, Yamen Saraiji, Pavel Adodin, Yin Bi, Sam Blakeman, Christian Conti, Dunai Fuentes Hitos, Yunpu Hu, Farshad Khadivar, Raphaela Kreiser, Luz A. Martinez, Luz Amadei Martínez, Fabian Schilling, Ricardo Morales, Guillem Torrente, Mario Castro, Lison Abecassis, Alberto Giammarino, Yu-Ting Huang, Yannik Nagel, Andrea Scotti, Alexander Sigrist, Tiago Silva, Etienne Walther, Jengyan Wong, Bilan Yang, Asude Aydin, Divij Grover, Apurv Saha, Valentina Cavinato, Takekazu Kakinuma, Taishi Kunori, Valentin Monferrato, Stefan Richter, Stefanos Charalambous, Simon Guist, Mads Alber Kuhlmann-Jorgensen, Lorenzo Miele, Agis Politis, Mattia Scardecchia, Hiroaki Kitano, Peter R. Wurman, Peter Stone, Michael Spranger
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Nature
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