This article provides a tutorial introduction to visual servo control of robotic manipulators.
Since the topic spans many disciplines our goal is limited to providing a basic conceptual …

In this article, we review the dynamic control of parallel kinematic machines. It is shown that
the classical control strategies from serial robotics generally used for parallel kinematic …

We describe a learning-based approach to hand-eye coordination for robotic grasping from
monocular images. To learn hand-eye coordination for grasping, we trained a large …

A key challenge in scaling up robot learning to many skills and environments is removing
the need for human supervision, so that robots can collect their own data and improve their …

For spline regressions, it is well known that the choice of knots is crucial for the performance
of the estimator. As a general learning framework covering the smoothing splines, learning …

Reinforcement learning provides a powerful and flexible framework for automated
acquisition of robotic motion skills. However, applying reinforcement learning requires a …

Modern inspection systems based on smart sensor technology like image processing and
machine vision have been widely spread into several fields of industry such as process …

Trajectory optimizers are a powerful class of methods for generating goal-directed robot
motion. Differential Dynamic Programming (DDP) is an indirect method which optimizes only …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

This paper is the first of a two-part series on the topic of visual servo control using computer
vision data in the servo loop to control the motion of a robot. In this paper, we describe the …