Sampling-based Control of SAR System Mounted on A Simple Manipulator

Abstract

A robotic sapatial augmented reality (RSAR) system, which combines robotic components with projector-based AR technique, is unique in its ability to expand the user interaction area by dynamically changing the position and orientation of a projector-camera unit (PCU). For a moving PCU mounted on a conventional robotic device, we can compute its extrinsic parameters using a robot kinematics method assuming a link and joint geometry is available. In a RSAR system based on user-created robot (UCR), however, it is difficult to calibrate or measure the geometric configuration, which limits to apply a conventional kinematics method. In this paper, we propose a data-driven kinematics control method for a UCR-based RSAR system. The proposed method utilized a pre-sampled data set of camera calibration acquired at sufficient instances of kinematics configurations in fixed joint domains. Then, the sampled set is compactly represented as a set of B-spline surfaces. The proposed method have merits in two folds. First, it does not require any kinematics model such as a link length or joint orientation. Secondly, the computation is simple since it just evaluates a several polynomials rather than relying on Jacobian computation. We describe the proposed method and demonstrates the results for an experimental RSAR system with a PCU on a simple pan-tilt arm.

Data-Driven Kinematic Control for Robotic Spatial Augmented Reality System with Loose Kinematic Specifications

“…The initial idea of data-driven control was conceived in [19]. In this paper, we advance this technique in multiple ways to be applied in a real-world scenario.…”

“…In previous research [19], we had a problem in that the acquisition area of the sampled data was too narrow, because of a fixed pattern marker used on the ground. In this paper, we enabled moving the pattern marker to expand the acquisition area of the sampled data.…”