NativeMEM: Native Memory Compression for Long-Horizon Robotic Manipulation
NativeMEM:用于长期机器人操作的原生内存压缩
Ziye Wang, Modi Shi, Chaojun Ni, Jiazhi Yang, Mengdi Li, Zhizhong Su, Tianwei Lin, Hongyang Li
机构
*
The University of Hong Kong(香港大学)
;
Beihang University(北京航空航天大学)
;
Peking University(北京大学)
;
The Chinese University of Hong Kong(香港中文大学)
;
Horizon Robotics(地平线机器人)
SceneFoundry: Generating Interactive Infinite 3D Worlds
SceneFoundry: 生成交互式无限3D世界
ChunTeng Chen, YiChen Hsu, YiWen Liu, WeiFang Sun, TsaiChing Ni, ChunYi Lee, Min Sun, YuanFu Yang
机构
*
National Yang Ming Chiao Tung University(国家阳明交通大学)
;
National Tsing Hua University(国立清华大学)
;
NVIDIA AI Technology Center(NVIDIA AI技术中心)
;
National Taiwan University(国立台湾大学)
CommentsThis manuscript is under revision for possible publication in the IEEE Robotics and Automation Letters (RA-L). Copyright may be transferred to IEEE if the manuscript is accepted for publication, without further notice. Supplementary video: https://youtu.be/AEmWFmHhPOA. Code available: https://doi.org/10.5281/zenodo.14726303
Journal refIEEE Robotics and Automation Letters (Volume: 10, Issue: 5, May 2025)
CommentsAccepted to IEEE Robotics and Automation Letters (RA-L), 2022 and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. Project page: https://learning-dynamic-manipulation.cs.princeton.edu