This research work focuses on navigational strategy of humanoid robots in complex
environments using a fuzzy embedded neural network based controller. The obstacle …

In the current paper “ROBONOVA” humanoid robot has been analyzed and studied. A
neural network method has been applied for navigation of the humanoid robots in the …

In this study, two navigational controllers have been developed for the path planning of
single as well as multiple humanoid robots in a cluttered environment using classical and …

With the increasing use of humanoid robots in several sectors of industrial automation and
manufacturing, navigation and path planning of humanoids has emerged as one of the most …

In the current work, a hybrid navigational control architecture combining regression analysis
with fuzzy logic control has been proposed for smooth and hassle-free motion planning of …

With the development of science and technology, humanoid robots are widely used among
several industries. Humanoid robots are seen as a human replacement in a vast sense. It is …

Purpose To navigate humanoid robots in complex arenas, a significant level of intelligence
is required which needs proper integration of computational intelligence with the robot's …

Purpose Humanoids have become the center of attraction for many researchers dealing with
robotics investigations by their ability to replace human efforts in critical interventions. As a …

With an ability to mimic the human behaviour, humanoid robots have become a topic of
major interest among research fellows dealing with robotic investigation. The current work is …

This paper describes a rule base-Sugeno fuzzy hybrid controller for path planning of single
as well as multiple humanoid robots in cluttered environments. Initially, sensor outputs …