Learning affordances can be defined as learning action potentials, i.e., learning that an object exhibiting certain regularities offers the possibility of performing a particular action. We propose a method to endow an agent with the capability of acquiring this knowledge by relating the object invariants with the potentiality of performing an action via interaction episodes with each object. W...

Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability, where only a linear static readout output layer is trained by standard linear regression methods. In this work, RC is used for detecting complex events in autonomous robot navigation. This can be extended to robot loc...

Dynamic gait planning for humanoid robots encounters difficulties such as stability, speed, and smoothness. In most of previous studies, joints’ trajectories are calculated in 3D Cartesian space, then, introducing boundary conditions and using polynomials, the first and second derivatives of the motion are ensured to be continuous. Then, the stability of the motion is guaranteed using Zero Mome...

We consider the problem of distributed multi-robot team formation including the dynamic reconfiguration of robot teams after encountering obstacles. We describe a distributed robot team reconfiguration algorithm, DYN-REFORM, that uses a game-theoretic technique of team formation called weighted voting games(WVGs) along with a flocking-based formation control mechanism. DYNREFORM works without e...

This paper presents an emotion based process gener ating cognition through learning Two models are de scribed which investigates the possibilities of designing cognitive systems based on emotion In order to test these models through experiments we used a mobile robot simulator Webots modeling the real Khepera robot The rst proposed model is the simplest since it uses only positive and negative ...

This paper describes a gesture based recognition system using Indian Sign Language (ISL) for performing Human Robot Interaction (HRI) in real time. It permits us to construct a convenient gesture based communication with humanoid robot HOAP-2. The classification process is carried out by extracting the features from ISL gestures. Orientation Histogram is considered as a feature vector for class...

This paper presents an emotion based process generating cognition through learning. Two models are described which investigates the possibilities of designing cognitive systems based on emotion. In order to test these models through experiments, we used a mobile robot simulator, Webots, modeling the real Khepera robot. The rst proposed model is the simplest since it uses only positive and negat...

Survival in the animal realm often depends on the ability to elucidate the potentialities for action offered by every situation. This paper argues that affordance learning is a powerful ability for adaptive, embodied, situated agents, and presents a motivation-driven method for their learning. The method proposed considers the agent and its environment as a single unit, thus intrinsically relat...

The study of gesture is still in its early childhood, gesture is present early in evolution, and is used to communicate before a child has the ability to enunciate. This paper describes the use of fast Fourier transforms both for preprocessing and feature extraction of hand gestures images. First the input gesture images are padded as the padding is necessary before applying Fourier transform t...

Mapping is an essential and basic requirement for a mobile robot in order to be able navigate autonomously. This paper proposes solution autonomous navigation real-time mapping using the virtual humanoid called NAO. The navigates through its environment ultrasonic sensors only develops 2-D map of environment. For implementation testing, Webots simulator was used. It provides values, modificatio...