Gait generation is very important as it directly affects the quality of locomotion of legged
robots. As this is an optimization problem with constraints, it readily lends itself to …

Abstract The incorporation of Artificial Intelligence algorithms in Intelligent Transportation
Systems gives rise to new opportunities for a more sustainable urban mobility. However, one …

Energy-efficient gait planning and control is established for biped robots, which utilizes the
allowable zero moment point (ZMP) region. Based on 3-D linear inverted pendulum mode …

The aim of this paper is to present novel Multi-objective Particle Swarm Optimization
(MOPSO) called Ingenious-MOPSO and compare its capability with three well-known multi …

Gait generation plays a decisive role to the performance of biped robot walking. Under
mathematical viewpoint, the task of gait generation design is investigated as an optimization …

An energy-efficient gait planning (EEGP) and control system is established for biped robots
with three-mass inverted pendulum mode (3MIPM), which utilizes both vertical body motion …

This paper presents a gait optimization method to generate the locomotion pattern for biped
and discuss its stability. The main contribution of this paper is a newly proposed energy …

This article proposes a new stable biped walking pattern generator with preset step-length
value, optimized by multi-objective JAYA algorithm. The biped robot is modeled as a kinetic …

In this text we look to the past to two distinct strands of research into autonomous robots,
evolutionary robotics and humanoid robot research, and how these strands are now …

A novel systematic architecture and algorithm of gait control based on energy-efficiency
optimization is represented, aiming at the fatal problem of high energy consumption for …