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Chapter 1
DOI: 10.4018/978-1-4666-8693-9.ch001
ABSTRACT
The number of robots operating in human environments is increasing every day. In order to operate in
such environments, the robot must be able to navigate, interact with human, pick and place diferent ob-
jects. This chapter presents a mobile humanoid robot that is able to localize itself, navigate to the target
location, and generates the arm motion based on the specifc task. The robot utilizes the Laser Range
Finder, camera and compass sensor for localization and navigation. In addition, the robot generates the
arm motion satisfying multiple motion criteria, simultaneously. This chapter evolves neural controllers
that generate the humanoid robot arm motion in dynamic environment optimizing three diferent objec-
tive functions: minimum time, distance and acceleration. In a single ran of Multi-Objective Genetic
Algorithm, multiple neural controllers are generate and the same neural controller can be employed to
generate the robot motion for a wide range of initial and goal positions.
INTRODUCTION
The need for assistive robotics is expected to grow due to the large number of elderly people and short-
age of qualified staff, especially in developed countries. The assistive robots are divided mainly in two
categories: 1) Rehabilitation robots and 2) Assistive social robots. The second one is further divided in
2 subcategories: a) Service robots and b) Companion robots.
This chapter focuses on service robots which are mainly used to assist elderly or unable people in ev-
eryday life activities. The authors present a humanoid robot mobile platform that is able to self localizes,
navigate to the target location, and perform picking and placing tasks using both arms. In performing
domestics task such as cleaning, picking and carrying food or household item from one room to another,
a mobile humanoid robot are required to have high mobility, and ability to manipulate object in opti-
Assistive Intelligent Humanoid
Robot in Human Environment
Zulkifli Mohamed
Universiti Teknologi MARA, Malaysia
Genci Capi
University of Toyama, Japan