in this paper an energy dissipation rate control (edrc) method is introduced, which could provide stable walking or running gaits for legged robots. this method is realized by developing a semi-analytical pattern generation approach for a robot during each single support phase (ssp). as yet, several control methods based on passive dynamic walking have been proposed by researchers to provide an...

Kinematic and kinetic foot models showed that computing ankle joint angles, moments power with a one-segment modeling approach alters kinematics tends to overestimate power. Nevertheless, gait studies continue implement assess the effect of total replacement. The objective this pilot study was investigate (one-segment versus multi-segment) on how replacement is estimated benefit or degrade pati...

This paper proposes a method of adaptively generating a gait pattern of biped robot. The gait synthesis is based on human’s gait pattern analysis. The proposed method can easily be applied to generate the natural and stable gait pattern of any biped robot. To analyze the human’s gait pattern, sequential images of the human’s gait on the sagittal plane are acquired from which the gait control va...

The goal of this study was to design a practical fuzzy controller of the cycle-to-cycle control for multi-joint movements of swing phase of functional electrical stimulation (FES) induced gait. First, we designed three fuzzy controllers (a fixed fuzzy controller, a fuzzy controller with parameter adjustment based on the gradient descent method, and a fuzzy controller with parameter adjustment b...

In this paper, we generalize our prior results in motion analysis to design gaits for a more general family of underactuated mechanical systems. In particular, we analyze and generate gaits for mixed mechanical systems which are systems whose motion is simultaneously governed by both a set of non-holonomic velocity constraints and a notion of a generalized momentum being instantaneously conserv...

It has been shown that max-plus linear systems are well suited for applications in synchronization and scheduling, such as the generation of train timetables, manufacturing, or traffic. In this paper we show that the same is true for multi-legged locomotion. In this framework, the max-plus eigenvalue of the system matrix represents the total cycle time, whereas the max-plus eigenvector dictates...

Video-based human recognition at a distance remains a challenging problem for the fusion of multimodal biometrics. As compared to the approach based on match score level fusion, in this paper, we present a new approach that utilizes and integrates information from side face and gait at the feature level. The features of face and gait are obtained separately using principal component analysis (P...