arXiv · cs.AI · Yifei Yuan, Ghaith Androwis, Xianlian Zhou · 5 小时前模型评分39
SMAT：面向共适应外骨骼控制的分阶段多智能体训练
SMAT: Staged Multi-Agent Training for Co-Adaptive Exoskeleton Control
导读
研究提出分阶段多智能体训练（SMAT，Staged Multi-Agent Training），用四阶段课程让肌肉骨骼人体与双侧髋部外骨骼两个智能体逐步共适应，在MyoAssist仿真中使模拟髋部肌肉激活平均降低10.1%。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
应用领域：医疗与生命科学
事件类型：研究发布
证据摘录
- “We propose Staged Multi-Agent Training (SMAT), a four-stage curriculum inspired by how users acclimate to a wearable device.”
- “We validated the learned controller in an offline setting using open-source gait data, then deployed it to a physical hip exoskeleton for treadmill experiments with five subjects.”
来源：arXiv · cs.AI · arxiv.org