Zobrazeno 1 - 10
of 29
pro vyhledávání: '"William P. Shackleford"'
Autor:
Fred Proctor, Craig Schlenoff, Zeid Kootbally, Anthony Downs, William Harrison, Brian Antonishek, William P. Shackleford
Publikováno v:
Manufacturing in the Era of 4th Industrial Revolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdfe115188f385940070d9e60e6554ff
https://doi.org/10.1142/9789811222849_0002
https://doi.org/10.1142/9789811222849_0002
Publikováno v:
Journal of Intelligent & Robotic Systems. 83:85-103
Detecting and tracking people is becoming more important in robotic applications because of the increasing demand for collaborative work in which people interact closely with and in the same workspace as robots. New safety standards allow people to w
Autor:
Stephen Balakirsky, Frederick M. Proctor, Craig Schlenoff, William P. Shackleford, Zeid Kootbally, Thomas R. Kramer
Industrial robots can perform motion with sub-millimeter repeatability when programmed using the teach-and-playback method. While effective, this method requires significant up-front time, tying up the robot and a person during the teaching phase. Of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e05aebd7bcf8ccb2a226c6b1f0c29db6
https://europepmc.org/articles/PMC5436486/
https://europepmc.org/articles/PMC5436486/
Autor:
James S. Albus, Tsai Hong, Michael O. Shneier, Tommy Chang, William P. Shackleford, Roger V. Bostelman
Publikováno v:
Autonomous Robots. 24:69-86
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan their paths. Such robots usually make use of a set of sensors to investigat
Autor:
Roger V. Bostelman, William P. Shackleford, Tommy Chang, Michael O. Shneier, James S. Albus, Tsai Hong
Publikováno v:
Integrated Computer-Aided Engineering. 14:121-139
The National Institute of Standards and Technology's (NIST) Intelligent Systems Division (ISD) is a participant in the Defense Advanced Research Projects Agency (DARPA) LAGR (Learning Applied to Ground Robots) Program. The NIST team's objective for t
Autor:
Roger V. Bostelman, James S. Albus, Tsai Hong Hong, William P. Shackleford, Tommy Chang, Michael O. Shneier
Publikováno v:
Journal of Field Robotics. 23:975-1003
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how to operate in complex terrain. Over many years, the National Institute
Publikováno v:
Journal of Computing and Information Science in Engineering. 1:92-99
This article reviews various mechanisms in languages and operating systems for deterministic real-time computing. Open-architecture systems will be defined and their applications in manufacturing will be addressed. Market directions for open-architec
Publikováno v:
IEEE Control Systems. 19:12-28
Due to demands for higher levels of automation from systems, the use of hierarchical and distributed control systems that integrate estimation, prediction, control, fault tolerance, adaptation, learning, etc., into one framework is becoming widesprea