首页|University of Michigan Reports Findings in Robotics (Robustification of Bayesian-Inference-Based Gait Estimation for Lower-limb Wearable Robots)
University of Michigan Reports Findings in Robotics (Robustification of Bayesian-Inference-Based Gait Estimation for Lower-limb Wearable Robots)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
New research on Robotics is the subject of a report. According to news reporting originating from Ann Arbor, Michigan, by NewsRx correspondents, research stated, “Lower-limb wearable robots designed to assist people in everyday activities must reliably recover from any momentary confusion about what the user is doing. Such confusion might arise from momentary sensor failure, collision with an obstacle, losing track of gait due to an out-of-distribution stride, etc.”
Ann ArborMichiganUnited StatesNorth and Central AmericaBayesian InferenceEmerging TechnologiesMachine LearningNano-robotRobotics
NETL
NSTL
