DribbleBot: Dynamic Legged Manipulation in the Wild

被引:18
作者
Ji, Yandong [1 ]
Margolis, Gabriel B. [1 ]
Agrawal, Pulkit [1 ]
机构
[1] MIT, Improbable AI Lab, Cambridge, MA 02139 USA
来源
2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA | 2023年
基金
美国国家科学基金会;
关键词
D O I
10.1109/ICRA48891.2023.10160325
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
DribbleBot (Dexterous Ball Manipulation with a Legged Robot) is a legged robotic system that can dribble a soccer ball under the same real-world conditions as humans. We identify key challenges of in-the-wild soccer ball manipulation, including variable ball motion dynamics and perception using body-mounted cameras. To overcome these challenges, we propose a domain and task specification for learning viable soccer dribbling behaviors in simulation that transfer to real fields. Our system provides promising evidence that current legged robots are physically capable and adequately sensorized for varied and dynamic real-world soccer play. Video is available at https://gmargo11.github.io/dribblebot.
引用
收藏
页码:5155 / 5162
页数:8
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