Abstract: A device control system for controlling multiple electronic devices over a network with a centralized host device is disclosed. The device control system includes a host device providing a graphical interface for a user to control various electronic devices throughout a home, building, or industrial plant. The host device is connected to multiple devices over a network and controls the electronic devices in real-time. The host device runs a managing controlling process that closes the control loops for each device over the network at the host device. Multiple devices are controlled in real-time using a 2N time slicing algorithm. The host device can be accessed from a remote location by establishing an Internet connection.

Abstract: A method for controlling a mechanism through the use of higher-dimensional n-curves is disclosed. An electronically-controlled mechanism is provided. Electronic communication is established between a computer and the electronically-controlled mechanism. A controller is running or executing on the computer to send mechanism commands to the electronically-controlled mechanism. Process control software is used to control the electronically-controlled mechanism. The process control software uses higher-dimensional n-curves to control the electronically-controlled mechanism.

Abstract: A method for controlling a mechanism through the use of higher-dimensional n-curves is disclosed. An electronically-controlled mechanism is provided. Electronic communication is established between a computer and the electronically-controlled mechanism. A controller is running or executing on the computer to send mechanism commands to the electronically-controlled mechanism. Process control software is used to control the electronically-controlled mechanism. The process control software uses higher-dimensional n-curves to control the electronically-controlled mechanism.

Abstract: A method for calibrating a tool control frame (TCF) on a robot with respect to a known calibration reference claim (CRF), wherein the (CRF) is in rigid body relationship with a robot link. The method includes the steps of (a) attaching a sensory tool to the robot link, (b) calibrating the sensory tool with appropriate units of measurement, (c) identifying a calibration feature to be mapped by the sensory tool, (d) causing relative movement of the calibration feature within sensing range of the sensory tool, (e) recording robot configuration and pose as a first data record, (f) causing relative movement of the calibration feature and sensory tool along a known direction to a new position within sensing range, (g) recording configuration and pose as a second data record, and (h) applying coordinate transformations to the respective data records to generate a correct tool control frame (TCF) pose with respect to the (CRF).

Abstract: A method and device for improving orientation and/or location accuracy of a programmable robot with respect to a target object. The method consists of calibrating the position of a terminal control frame associated with a robot end-effector which is coupled to a robot distal link. Separated reference positions external from the robot are identified, as to geometry and spatial data. This identification data is stored for later recall and comparison for use in determining a localized relative frame of reference. The robot end-effector is moved to a first reference position and a rigid body error correction is determined. This correction is stored in computer memory for application to later computer movement.