John T. Feddema

TL;DR: In this article, a vision module is used to guide an eye-in-hand robot through general servoing and tracking problems using off-the-shelf image processing equipment.

TL;DR: This work uses decentralized methods to connect otherwise independent nontouching robotic vehicles so that they behave in a stable, coordinated fashion.

TL;DR: The authors develop methodologies for the automatic selection of image features to be used to visually control the relative position and orientation (pose) between the end-effector of an eye-in-hand robot and a workpiece.

TL;DR: An adaptive method for visually tracking a known moving object with a single mobile camera to predict the location of features of the object on the image plane based on past observations and past control inputs and to determine an optimal control input that will move the camera so that the image features align with their desired positions.

TL;DR: In this article, two methods for controlling the surface of a liquid in an open container as it is being carried by a robot arm are described, which make use of the fundamental mode of oscillation and damping of the liquid in the container as predicted from a boundary element model of the fluid.