This paper presents a technique for an intelligent software robot (sobot) Rity to behave in uncertain environment in an appropriate manner. The intelligence of a robot is necessary to infer an appropriate behavior when various sensor data (stimuli) exist simultaneously and a specific behavior can be decided by a behavior controller. There could be various methods to build a behavior controller....

Machine learning is a major branch of AI and a main research direction of multi-agent systems (MAS). With the emergence of various new complex systems, agent’s individual ability and the system’s intelligence level are urgently to be improved. Agent learning methods and agent architecture are studied in this paper and a new hybrid intelligent learning algorithm based on multi-agent is proposed....

This paper describes an intelligent vision method, which is capable of reconstructing the robot environment. Algorithms and their implementation are presented for localising known objects in the scene and determine 3D Euclidean transformation (the relative position and orientation) between recognised objects. This can be done by reconstructing the projective 3D world of the scene and involve th...

Human beings can easily use eyes to guide arms and hands to reach any particular pose. We have been trying to make robot imitate such intelligent behavior that is called as robotic hand-eye coordination. In this paper we report our research work on vision guided homing for humanoid service robot JINGANG which has active stereo vision and two modular arms. The work is based on the 3D vision reco...

The Multimodal User Supervised Interface and Intelligent Control (MUSIIC) project is working towards the development of an assistive robotic system which integrates human-computer interaction with reactive planning techniques borrowed from artificial intelligence. The MUSIIC system is intended to operate in an unstructured environment, rather than in a struc-tured workcell, allowing users with ...

This paper deals with the application of a neuro-fuzzy inference system to a mobile robot navigation in an unknown, or partially unknown environment. The final aim of the robot is to reach some pre-defined goal. For this purpose, a sort of a co-operation between three main sub-modules is performed. These sub-modules consist in three elementary robot tasks: following a wall, avoiding an obstacle...

This paper presents an overview of the current field of entertainment robotics based on experiences as spectator during the RoboCup 1999 and building an experimental entertainment robot based on the LEGO platform with digital color camera and various other sensors. RoboCat is a robot cat prototype that shows cat-like behaviour in the real-life environment of typical households. For behavioural ...

Path planning of Robot is one of the challenging fields in the area of Robotics research. In this paper, we proposed a novel algorithm to find path between starting and ending position for an intelligent system. An intelligent system is considered to be a device/robot having an antenna connected with sensor-detector system. The proposed algorithm is based on Neural Network training concept. The...

This research proposed an intelligent obstacle avoidance algorithm to navigate an autonomous mobile robot. The presented Intelligent Bug Algorithm (IBA) over performs and reaches the goal in relatively less time as compared to existing Bug algorithms. The improved algorithm offers a goal oriented strategy by following smooth and short trajectory. This has been achieved by continuously consideri...

In this article, an intelligent compensation control algorithm for low-speed robot joint with dynamic friction was proposed based on self-recurrent wavelet neural networks (SRWNN). It is not necessary to predict the dynamic model parameters, and the high-precision compensation of nonlinear friction is realized by using few neurons and iterations through only position feedback. Lyapunov stabilit...