_:n62a0251cce17434fab2843caf5fa4858xb53
<http://schema.org/description>
"Athletics are a quintessential and universal expression of humanity. From\nFrench monks who in the 12th century invented jeu de paume, the precursor to\nmodern lawn tennis, back to the K'iche' people who played the Maya Ballgame as\na form of religious expression over three thousand years ago, humans have\nsought to train their minds and bodies to excel in sporting contests. Advances\nin robotics are opening up the possibility of robots in sports. Yet, key\nchallenges remain, as most prior works in robotics for sports are limited to\npristine sensing environments, do not require significant force generation, or\nare on miniaturized scales unsuited for joint human-robot play. In this paper,\nwe propose the first open-source, autonomous robot for playing regulation\nwheelchair tennis. We demonstrate the performance of our full-stack system in\nexecuting ground strokes and evaluate each of the system's hardware and\nsoftware components. The goal of this paper is to (1) inspire more research in\nhuman-scale robot athletics and (2) establish the first baseline towards\ndeveloping a robot in future work that can serve as a teammate for mixed,\nhuman-robot doubles play. Our paper contributes to the science of systems\ndesign and poses a set of key challenges for the robotics community to address\nin striving towards a vision of human-robot collaboration in sports."
<https://deepai.org/profile/esmaeil-seraj>