Dr. Michael Trentini Profile

Dr. Michael Trentini

Research Scientist at Defence Research and Development Canada

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Publications (8)

Proceedings Article | 17 May 2013 Paper

Development of a non-contextual model for determining the autonomy level of intelligent unmanned systems

Phillip Durst, Wendell Gray, Michael Trentini

Proceedings Volume 8741, 874111 (2013) https://doi.org/10.1117/12.2014352

KEYWORDS: Systems modeling, Sensors, Unmanned systems, Environmental sensing, Performance modeling, Computer architecture, Data modeling, Intelligence systems, LIDAR, Robotics

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Proceedings Article | 8 May 2010 Paper

Semi-autonomous UAV/UGV for dismounted urban operations

Michael Trentini, Blake Beckman

Proceedings Volume 7692, 76921C (2010) https://doi.org/10.1117/12.852704

KEYWORDS: Unmanned aerial vehicles, Robots, Dismounted soldiers, Actuators, Situational awareness sensors, Control systems, Surgery, Unmanned systems, Sensors, Image enhancement

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Proceedings Article | 8 May 2007 Paper

Perception and mobility research at Defence R&D Canada for UGVs in complex terrain

Michael Trentini, Jack Collier, Blake Beckman, Bruce Digney, Isabelle Vincent

Proceedings Volume 6561, 65610F (2007) https://doi.org/10.1117/12.718411

KEYWORDS: Sensors, Intelligence systems, Environmental sensing, Robotics, Control systems, Algorithm development, Defense and security, Image segmentation, Mathematical modeling, Vehicle control

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Proceedings Article | 12 May 2006 Paper

Intelligent mobility research for robotic locomotion in complex terrain

Michael Trentini, Blake Beckman, Bruce Digney, Isabelle Vincent, Benoit Ricard

Proceedings Volume 6230, 62300I (2006) https://doi.org/10.1117/12.669556

KEYWORDS: Robotics, Control systems, Intelligence systems, Actuators, Sensors, Defense and security, Computer aided design, Algorithm development, Mathematical modeling, Systems modeling

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The objective of the Autonomous Intelligent Systems Section of Defence R&D Canada - Suffield is best described by its mission statement, which is "to augment soldiers and combat systems by developing and demonstrating practical, cost effective, autonomous intelligent systems capable of completing military missions in complex operating environments." The mobility requirement for ground-based mobile systems operating in urban settings must increase significantly if robotic technology is to augment human efforts in these roles and environments. The intelligence required for autonomous systems to operate in complex environments demands advances in many fields of robotics. This has resulted in large bodies of research in areas of perception, world representation, and navigation, but the problem of locomotion in complex terrain has largely been ignored. In order to achieve its objective, the Autonomous Intelligent Systems Section is pursuing research that explores the use of intelligent mobility algorithms designed to improve robot mobility. Intelligent mobility uses sensing, control, and learning algorithms to extract measured variables from the world, control vehicle dynamics, and learn by experience. These algorithms seek to exploit available world representations of the environment and the inherent dexterity of the robot to allow the vehicle to interact with its surroundings and produce locomotion in complex terrain. The primary focus of the paper is to present the intelligent mobility research within the framework of the research methodology, plan and direction defined at Defence R&D Canada - Suffield. It discusses the progress and future direction of intelligent mobility research and presents the research tools, topics, and plans to address this critical research gap. This research will create effective intelligence to improve the mobility of ground-based mobile systems operating in urban settings to assist the Canadian Forces in their future urban operations.

Proceedings Article | 27 May 2005 Paper

Control and learning for intelligent mobility of unmanned ground vehicles in complex terrains

M. Trentini, B. Beckman, B. Digney

Proceedings Volume 5804, (2005) https://doi.org/10.1117/12.606483

KEYWORDS: Robotics, Control systems, Intelligence systems, Unmanned ground vehicles, 3D modeling, Mathematical modeling, Systems modeling, Modeling, Navigation systems, Robots

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Proceedings Article | 2 September 2004 Paper

Novel mobility platforms utilizing intelligent algorithms

Michael Trentini, Blake Beckman, Bruce Digney, Jack Collier

Proceedings Volume 5422, (2004) https://doi.org/10.1117/12.542527

KEYWORDS: Algorithm development, Robotics, Defense and security, Vehicle control, Sensors, Unmanned ground vehicles, Actuators, Modeling, Chemical elements, Control systems

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Proceedings Article | 2 September 2004 Paper

Adaptive representation for dynamic environment, vehicle, and mission complexity

Jack Collier, Benoit Ricard, Bruce Digney, David Cheng, Michael Trentini, Blake Beckman

Proceedings Volume 5422, (2004) https://doi.org/10.1117/12.541148

KEYWORDS: Sensors, Robots, Environmental sensing, Reliability, Robotics, Buildings, Extremely high frequency, Radar, Defense and security, Unmanned ground vehicles

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Proceedings Article | 2 September 2004 Paper

Defence R&D Canada's autonomous intelligent systems program

Bruce Digney, Paul Hubbard, Eric Gagnon, Marc Lauzon, Camille Rabbath, Blake Beckman, Jack Collier, Steven Penzes, Gregory Broten, Simon Monckton, Michael Trentini, Bumsoo Kim, Philip Farell, Dave Hopkin

Proceedings Volume 5422, (2004) https://doi.org/10.1117/12.544176

KEYWORDS: Unmanned aerial vehicles, Intelligence systems, Control systems, Sensors, Defense and security, Artificial intelligence, Algorithm development, Robotics, Systems modeling, Decision support systems

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Showing 5 of 8 publications

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