Robotic manipulation of objects in clutter remains a challenging problem to date. The challenge is posed by various levels of complexity involved in interaction among objects. Understanding these semantic interactions among ...

Exploiting visual cues to control systems for robotic applications is a promising idea. Practically, they are usable only if the end result accedes to the restrictions of the specific environment. These restrictions are ...

In this paper, we present a Bayesian algorithm based on particle filters to estimate the camera pose for vision-based control. The state model is represented as a relative camera pose between the current and initial camera ...

Crowded urban environments are composed of different types of dynamic and static elements. Learning and classification of features is a major task in solving the localization problem in such environments. This work presents ...

We present an algorithm for highly reliable tracking of planar objects using visual cues like texture and contour in presence of feature correspondence errors. These two cues are integrated using a probabilistic formulation. ...

This paper presents a new sequential real time algorithm that solves the mapping problem in Visual SLAM. The considered problem is a particular example from the triangulation problem, that has direct applications to robotic ...

In this paper, we present a novel sequential visual localization algorithm in partitioned route. The algorithm utilizes Monte-Carlo for accurate visual localization. Partitioning the route into several regions produces ...

In this paper, we design and implement a human-machine interaction application, which enables a visually challenged person to locate and manipulate personal objects in her/his neighborhood. In this setting, we need to ...

This paper presents a new stable hybrid visual servo controller to complete the task of robot arm positioning. Our method is generic hybrid method and superior to the state of the art. The objective function is designed ...

Face recognition is an algorithm that is capable of identifying or verifying a query face from multiple faces in the enrollment database. It poses a challenging problem in the field of image analysis and computer vision, ...