William Whittaker

Founders University Research Professor Carnegie Mellon University

  • Pittsburgh PA

A field robotics pioneer, William "Red" Whittaker's research interests centers on mobile robots in unpredictable environments.

Contact

Carnegie Mellon University

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Biography

Dr. William "Red" Whittaker's research interests centers on mobile robots in unpredictable environments, such as natural terrain and outdoor worksites, including computer architectures to control mobile robots, modeling and planning for non-repetitive tasks, complex problems of objective sensing in random or dynamic environments, and integrations of complete field robot systems.

His work encompasses core research, prototyping, and experimentation with the view that all are important to the evolution of field robots. Increasingly, his research interests are manifested through the work of the Field Robotics Center (FRC), which he directs. He has particular agenda in integrating component technologies into complete systems that prove themselves in both research and real world contexts. At FRC, they developed the remote work systems that explored and remediated the basement of the crippled Three Mile Island reactor containment basement. The Remote Reconnaissance Vehicle performed recovery tasks such as inspection, radiological mapping, material sampling, sludge transport and wall cleaning in a highly radioactive environment. Its successor, the Remote Work Vehicle (RWV), a telerobot of unprecedented capability and nuclear qualification, was developed for a broad agenda of clean-up operations. The RWV can wash contaminated surfaces, remove sediments, demolish radiation sources, apply surface treatments, and package and transport materials.

Dr. Whittaker is the Fredkin Professor of Robotics at the Robotics Institute and the Chief Scientist of the Robotics Engineering Consortium at Carnegie Mellon University. He is also the Chief Scientist of RedZone Robotics.

Areas of Expertise

Multisensor Data Fusion
Robotics in Hazerdous Application
Industrial Robotics
Field & Service Robotics
Outdoor Mobile Robots
Robotic Exploration
Robotics
Computer Software
Prototyping
Robotics for Scientific Discovery
Space Robots and Systems

Media Appearances

Why Pittsburgh is known for robotics, and where it’s going next

Technical.ly  online

2024-12-30

The hulking robot driving into Three Mile Island is legend among Pittsburgh economic boosters. This, they say, is the origin story of how Western Pennsylvania began its robotics specialty.

The cleanup, led by celebrated roboticist William “Red” Whittaker, showcased Pittsburgh’s engineering prowess and cemented its reputation as a hub for cutting-edge robotics technology​.

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Robotics pioneer Red Whittaker wants to put a robot on the moon, and land Amazon in his backyard

Geek Wire  online

2018-02-22

Asked if he will eventually land a robot on the moon, William “Red” Whittaker doesn’t hold back.“Oh, hell yes,” says the Carnegie Mellon University roboticist, showing the enthusiasm and determination that have fuelled his career, leading the development of robots that have changed the nature of what machines can accomplish...

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Not NASA, this university's students will send the first American lunar rover to the Moon on May 4

Interesting Engineering  online

2023-03-30

"In space, what matters is what flies, and soon you'll see irrefutable proof that what Carnegie Mellon has accomplished in planetary exploration matters a great deal," said William "Red" Whittaker, the Founders University Research Professor in the Robotics Institute and a planetary robotics pioneer...

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Industry Expertise

Computer Hardware
Aerospace
Education/Learning

Accomplishments

Engelberger Technology Award

Engelberger, known throughout the world as the founding force behind industrial robotics, the Engelberger Robotics Award is the world's most prestigious robotics honor.

Education

Carnegie Mellon University

Ph.D.

Civil Engineering

1979

Carnegie Mellon University

M.A.

Civil Engineering

1975

Princeton University

Civil Engineering

Civil Engineering

1973

Affiliations

  • Field Robotics Center, Robotics Institute: Director
  • Robotic Engineering Consortium, Carnegie Mellon University: Chief Scientist
  • RedZone Robotics: Chief Scientist

Patents

Method for Epipolar Time of Flight Imaging

US20200092533A1

Energy-efficient epipolar imaging is applied to the ToF domain to significantly expand the versatility of ToF sensors. The described system exhibits 15+ m range outdoors in bright sunlight; robustness to global transport effects such as specular and diffuse inter-reflections; interference-free 3D imaging in the presence of many ToF sensors, even when they are all operating at the same optical wavelength and modulation frequency; and blur- and distortion-free 3D video in the presence of severe camera shake. The described embodiments are broadly applicable in consumer and robotics domains.

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Methods, Devices and Systems for High-Speed Autonomous Vehicle and High-Speed Autonomous Vehicle

US20060095171A1

The invention comprises an autonomous off-road vehicle capable of traveling at high speeds. Preferred embodiments of the invention comprise a system for sensory instrument stabilization comprises three axis assemblies movable about three orthogonal axes. The invention also comprises novel methods for generating a high accuracy route for a robotically controlled vehicle. Other aspects of the invention include drive time, perception-based path adjustments to steer a robotic vehicle within an intended corridor. Another embodiment of the invention comprises the consideration of vehicular dynamics in generating a high accuracy route and in steering a robotic vehicle within an intended corridor.

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Obstacle Detection Arrangements in and for Autonomous Vehicles

US20100026555A1

An arrangement for obstacle detection in autonomous vehicles wherein two significant data manipulations are employed in order to provide a more accurate read of potential obstacles and thus contribute to more efficient and effective operation of an autonomous vehicle. A first data manipulation involves distinguishing between those potential obstacles that are surrounded by significant background scatter in a radar diagram and those that are not, wherein the latter are more likely to represent binary obstacles that are to be avoided. A second data manipulation involves updating a radar image to the extent possible as an object comes into closer range. Preferably, the first aforementioned data manipulation may be performed via context filtering, while the second aforementioned data manipulation may be performed via blob-based hysteresis.

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Articles

Belief Space Planning for Reducing Terrain Relative Localization Uncertainty in Noisy Elevation Maps

Institute of Electric and Electronic Engineers

2019-05-20

Accurate global localization is essential for planetary rovers to reach mission goals and mitigate operational risk. For initial exploration missions, it is inappropriate to deploy GPS or build other infrastructure for navigating.

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Ray Tracing and Use of Shadows as Features for Determining Location in Lunar Polar Terrain

Field and Service Robotics

2019-08-01

Ice is the most valuable resource on the Moon. It exists only at the poles where shadows are extensive and drivable routes are short. Robot routes to reach this ice are tenuous. Sun-synchronous lunar polar routes offer order-of-magnitude greater duration and range, if such routes are achievable. Sun-synchrony is brittle in the sense that a rover must be at precisely scheduled time and place, so special localization techniques are warranted.

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Agile Depth Sensing using Triangulation Light Curtains

Proceedings of (ICCV) International Conference on Computer Vision

2019-10-01

Depth sensors like LIDARs and Kinect use a fixed depth acquisition strategy that is independent of the scene of interest. Due to the low spatial and temporal resolution of these sensors, this strategy can undersample parts of the scene that are important (small or fast moving objects), or oversample areas that are not informative for the task at hand (a fixed planar wall).

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