Peripheral nerve stimulation is an effective neuromodulation method in patients with lower
extremity movement disorders caused by stroke, spinal cord injury, or other diseases …

Peripheral nerve stimulation is an effective neuromodulation method in patients with lower
extremity movement disorders caused by stroke, spinal cord injury, or other diseases …

Traditional trajectory learning methods based on Imitation Learning (IL) only learn the
existing trajectory knowledge from human demonstration. In this way, it can not adapt the …

Due to the heavy burden on human drivers when remotely controlling hexapod robots in
complex terrain environments, there is a critical need for robot intelligence to assist in …

Introduction Reinforcement learning has been widely used in robot motion planning.
However, for multi-step complex tasks of dual-arm robots, the trajectory planning method …

Balancing oneself using the spine is a physiological alignment of the body posture in the
most efficient manner by the muscular forces for mammals. For this reason, we can see …

This research focuses on developing reinforcement learning approaches for the locomotion
generation of small-size quadruped robots. The rat robot NeRmo is employed as the …

This article proposes a multi habitat bio-mimetic robot, named as GuLu XuanYuan. It
combines all common types of mobile robots, namely humanoid MIP, unmanned ground …

Traditional quadruped robots usually have rigid and fixed torso, which limits their mobility
and flexibility. Robots with movable waist can improve the flexibility and environmental …

Purpose: The aim of this study is to comprehensively analyze the application of robotic
technology in spine surgery and display the current research status in this field. Methods: To …