HRI
ACME：一个跨文化、多形态的社会导航数据集
Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar, Renato Alexandre Ribeiro, Nhat Le, Pilar Bachiller-Burgos, Pranav Goyal, Subham Agrawal, Yasuhiro Nitta, Howard Ziyu Han, Daeun Song, Masaki Kuribayashi, Kohei Uehara, Xiyue Wang, Yangzhe Kong, Duc M. Nguyen, Amirreza Payandeh, Gerardo Pérez-González, Alejandro Torrejón-Harto, Jeeho Ahn
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
该论文介绍了ACME数据集，这是一个跨文化、多形态的社会导航数据集，包含来自5个国家8个地点的29.35小时机器人数据和43.5小时行人跟踪数据。该数据集旨在通过捕捉复杂社交场景中的目标驱动行为，推动社会导航研究和行人轨迹预测。
关键词
social navigationmulti-culturalmulti-embodimenthuman-robot interactiondataset
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