arXiv · ML· SenseNova, Joint Research Team, :, Zhongang Cai, Ziang Cao, Tailai Chen, Han Chong Chua, Linjun Dai, Hanming Deng, Hokin Deng, Haiwen Diao, Chenjing Ding, Weichen Fan, Xiao Fu, Zerui Gong, Chenyang Gu, Zexin He, Zhi Hou, Bo Li, Qinyue Li, Quanzhou Li, Xiaowan Li, Zhichao Liao, Dahua Lin, Zilong Lin, Bo Liu, Chunxiao Liu, Pengfei Liu, Tianqi Liu, Ziwei Liu, Chen Change Loy, Lewei Lu, Jiapeng Luo, Yuexiao Ma, Liang Pan, Xingang Pan, Oscar Qian, Ziyi Shang, Yuyao Shao, Dawei Su, Dacheng Tao, Qingyi Tao, Quan Wang, Ruisi Wang, Xiaogang Wang, Ziyi Wang, Beichen Wen, Donghao Wu, Jiaxu Wu, Silei Wu, Xiaoming Wu, Zhonghua Wu, Hongcan Xiao, Weiye Xu, Atsushi Yamashita, Lei Yang, Zhe Yang, Baiqiao Yin, Wanqi Yin, Hanfei Zhao, Tianbo Zhong, Long Zhuo, Jing Zuo·· 8 小时前AI 评分46
SenseNova 团队报告 GPT-6-Astra 在具身智能任务中的表现
Has GPT-6-Astra Achieved Embodied Intelligence?
AI 导读
SenseNova 联合研究团队报告 GPT-6-Astra 在 12 项机器人操作与导航基准测试中取得了前所未有的表现，跨过了具身能力的阈值。 该模型通过允许从训练集演示进行上下文学习（ICL）的统一协议实现性能突破，并在 8 种机器人配置中验证了高层推理与低层控制闭环协调的有效性。 研究指出 GPT-6-Astra 尚未达到实用具身智能水平，主要受限于数据采集成本及物理约束下的执行时长瓶颈。
来源：arXiv · ML · arxiv.org