This paper presents a human-inspired control approach to bipedal robotic walking: utilizing
human data and output functions that appear to be intrinsic to human walking in order to …

This paper presents the first steps toward automatically generating robotic walking from
human walking data through the use of human-inspired control. By considering …

This paper presents an approach to the development of bipedal robotic control techniques
for multiple locomotion behaviors. Insight into the fundamental behaviors of human …

This article presents the methods of zero moment point (ZMP) trajectory evaluation for
human locomotion by processing biomechanical data recorded with Kinect-based motion …

In this paper, a control design approach is presented, which uses human data in the
development of bipedal robotic control techniques for multiple locomotion behaviors. Insight …

Bridging contemporary techniques in bio-inspired control affords a unique perspective into
human locomotion where the interplay between sagittal and coronal dynamics is understood …

A method is proposed which enables testing of prosthetic devices in simulation. A hybrid
model is used to represent human walking—the combination of continuous and discrete …

This paper extends the hybrid-state driven autonomous control (HyDAC) algorithm
developed for planar bipedal locomotion to dynamic walking situation over randomly sloped …

Three-dimensional humanlike bipedal walking is obtained through a hybrid control strategy
which combines geometric reduction with human-inspired control. Functional Routhian …

The focus of this paper is on the development of a human inspired autonomous control
scheme for a planar bipedal robot in a hybrid dynamical framework to realize human-like …