Robotic Tool Tracking Under Partially Visible Kinematic Chain: A Unified Approach

A Pursuit-Rendezvous Approach for Robotic Tracking

Modular Tracking Framework: A Unified Approach to Registration based Tracking

This paper presents a modular, extensible and highly efficient open source framework for registration based tracking targeted at robotics applications. It is implemented entirely in C++ and is designed from the ground up to easily integrate with systems that support any of several major vision and robotics libraries including OpenCV, ROS, ViSP and Eigen. It is also faster and more precise than ...

Tracking and Recognition: A Unified Approach on Tracking and Recognition

This paper proposes a unified approach on tracking and recognition .Object tracking is done at low level and recognition is done at high level. Traditional tracking methods give importance to low level image correspondences between frames. High level image correspondences are used for reliable tracking. Online and Offline models are used for both tracking and recognition which is done simultane...

Adaptive robotic tool use under variable grasps

Successful robotic manipulation of human tools will greatly advance robotic collaboration with humans in manufacturing and robotic assistance in human environments, e.g., in hospitals, offices, and homes. In these settings, the robot needs to grasp a tool (e.g., a drill) before using it, rather than rely on the tool being firmly attached to the robot’s end effector. Thus, when using the tool, t...

Model Selection Based on Tracking Interval Under Unified Hybrid Censored Samples

The aim of statistical modeling is to identify the model that most closely approximates the underlying process. Akaike information criterion (AIC) is commonly used for model selection but the precise value of AIC has no direct interpretation. In this paper we use a normalization of a difference of Akaike criteria in comparing between the two rival models under unified hybrid cens...