IEEE Awards Booklet - 2021 - 26

2021 IEEE TECHNICAL FIELD AWARDS

IEEE Robotics and Automation Award
Sponsored by the IEEE Robotics and Automation Society

Tomás Lozano-Pérez and Jean-Claude Latombe

For foundational contributions to robot motion planning and visionary leadership of
the field

The groundbreaking contributions of Tomás Lozano-Pérez and
Jean-Claude Latombe to tackling the challenge of robot motion
planning has provided robots with the ability to avoid colliding with obstacles while they navigate real-world environments.
Lozano-Pérez introduced the configuration space formalization,
which unified geometry, mechanics, and computation in a single
general framework to address motion planning for robots with
any number of degrees of freedom and shape. Lozano-Pérez's
work provided the foundation for motion planning and inspired
Latombe's classic textbook Robot Motion Planning (Springer,
1991). Latombe codeveloped the randomized potential field
(RFP) planner with Jerôme Barraquand to handle robots with

higher degrees of freedom. RFP was the precursor to his probabilistic roadmap planner (PRM) algorithm, co-developed with
Lydia Kavraki, an example of sample-based motion planning.
Latombe's work on PRM is considered to have sparked a new era
in motion planning.
An IEEE Fellow, Lozano-Pérez is the School of Engineering
Professor in Teaching Excellence at the Massachusetts Institute of
Technology, Cambridge, MA, USA.
Latombe is the Kumagai Professor Emeritus with the School
of Engineering, Department of Computer Science, at Stanford
University, Stanford, CA, USA.

IEEE Frank Rosenblatt Award

IEEE Marie Sklodowska-Curie Award

Sponsored by the IEEE Computational Intelligence Society

Sponsored by the IEEE Nuclear and Plasma Sciences Society

James M. Keller

Michel Defrise

For fundamental work on fuzzy pattern
recognition, fuzzy clustering, and fuzzy
technologies in computer vision

For key developments in image
reconstruction for positron emission
tomography and x-ray computed
tomography

James M. Keller's pioneering work on fuzzy pattern recognition
and other fuzzy methods have advanced the ability of computers
to interpret and understand images, impacting a broad range of real-world applications. His accomplishments include seminal work
on a fuzzy k-nearest neighbor algorithm, a possibilistic clustering
method, and combining possibilistic and fuzzy paradigms. He has
also contributed to information fusion and texture description,
and he was one of the first researchers to suggest incorporating basic ideas from fuzzy pattern recognition into the domain
of classifier design with perceptrons. Medical image processing,
smart-home sensing for eldercare, explosive hazard detection, and
bioinformatics are just some of the applications benefitting from
the advances in computer vision made possible by Keller.
An IEEE Life Fellow, Keller is the Curators' Distinguished Professor Emeritus in the Electrical Engineering and Computer Science
Department at the University of Missouri, Columbia, MO, USA.

Michel Defrise has played a key role in the transition from 2D to
3D image reconstruction, helping advance the medical imaging
capabilities of positron emission tomography (PET) and computed tomography (CT). He developed the Fourier Rebinning
Algorithm, which allows fast 2D iterative reconstruction from
3D PET data, contributing to the widespread clinical application
of PET scans in oncology. He also demonstrated that time-offlight PET data contain sufficient information for quantitative
PET imaging when anatomical CT data do not allow a reliable
correction of the photon attenuation by the patient. His work
on filtered-backprojection algorithms for cone-beam CT with
arbitrary acquisition geometries was the cornerstone for later
developments of exact and approximate algorithms for 3D CT.
An IEEE Fellow, Defrise is an Emeritus Professor with the
Department of Nuclear Medicine at Vrije Universiteit Brussel,
Brussels, Belgium.

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IEEE Awards Booklet - 2021

Table of Contents for the Digital Edition of IEEE Awards Booklet - 2021

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IEEE Awards Booklet - 2021 - 1
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