Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion
<|reference_start|>Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion: Quadrupedal animals have the ability to perform agile while accurate tasks: a trained dog can chase and catch a flying frisbee before it touches the ground; a cat alone at home can jump and grab the door handle accurately. However, agility and precision are usually a trade-off in robotics problems. Recent works in quadruped robots either focus on agile but not-so-accurate tasks, such as locomotion in challenging terrain, or accurate but not-so-fast tasks, such as using an additional manipulator to interact with objects. In this work, we aim at an accurate and agile task, catching a small object hanging above the robot. We mount a passive gripper in front of the robot chassis, so that the robot has to jump and catch the object with extreme precision. Our experiment shows that our system is able to jump and successfully catch the ball at 1.05m high in simulation and 0.8m high in the real world, while the robot is 0.3m high when standing.<|reference_end|>
@article{duan2024playful,
    title={Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion},
    author={Xin Duan, Ziwen Zhuang, Hang Zhao, Soeren Schwertfeger},
    journal={arXiv preprint arXiv:2409.19920},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.19920},
    primaryClass={cs.RO}
}