Eaton Intelligent Power Limited

Signify Holding B.v.

Magna International Inc.

Magna Powertrain Gmbh & Co. Kg

Rajeev Verma

Jon A Steeby

Michael P Nowak

Vishal Vijay Mahulkar

Vasilios Tsourapas

Stephanie Feejin Lee

Nathan H Cox

Sujay Sirur

Conor H Dodd

Matthew T Boillat

Kevin Snow

Alexander Zak

Benjamin Saltsman

Rahul Meka

A system and method for determining an optimal route between an origin and a destination along one or more road segments is provided. The system includes a controller disposed within a vehicle and configured to determine the optimal route between the origin and the destination. A first data source provides the server with data regarding current and/or future conditions on a plurality of road segments. A second data source provides the server with data regarding actual traversals of the plurality of road segments. The system solves a backward problem to extract probability distribution functions for how each of several factors affect time and energy required to traverse each of the plurality of road segments. The system also solves a forward problem to apply the probability distribution functions, using data regarding actual conditions to determine the optimal route that is optimized for both of time and energy consumption.

System and method for vehicle routing using big-data

An autonomous dock system for a vehicle, comprises a control system with instructions comprising steps for receiving a request to implement an autonomous dock routine. A vehicle speed and clutch position are calculated. A clutch position controller is commanded to maintain the calculated clutch position. An actual torque amount is iteratively detected as transferred across the clutch. A vehicle speed-control mechanism is commanded to maintain the calculated vehicle speed, and the actual vehicle speed is iteratively detected. When comparing the commanded vehicle speed to the detected actual vehicle speed indicates that the detected actual vehicle speed is below a speed threshold, and when the actual torque amount transferred across the clutch exceeds a torque threshold, the control system commands an increase in vehicle speed.

Autonomous dock

A robot assembly for safe operation in a manufacturing setting with humans including a sensor for detecting a human location and human movement is provided. A safety control module providing a boundary of a safety zone area that is associated with the human in a task oriented state that includes a largest possible area in which the human or an associated work object can extend when the human is standing in one location and performing the work task. The human movement and safety zone area location being used to develop a capture set area that includes at least one predictive future safety zone area location. Using the at least one predicted future safety zone area, establishing a travel path for moving the robot between locations without overlapping the capture set area.

Safety control module for a robot assembly and method of same

A system for locating an asset can include a first light fixture disposed in a volume of space and having a first transceiver, a first light source, and a first modulation circuit, where the first light source emits a first light output that defines a first line of sight, where the first modulation circuit generates and sends a first VLC signal that is part of the first light output, where a first light fixture location of the first light fixture in the volume of space is previously determined using the first transceiver during an auto-commissioning process. The system can also include a communication device associated with the asset, where the asset is disposed in the volume of space, where the communication device includes a second transceiver, where the second transceiver receives the first VLC signal from the first transceiver.

Locating assets using auto-commissioned light fixtures in a lighting system

Growing community of inventors

Troy, MI, United States of America

Rajeev Verma