IEEE Awards Booklet - 2017 - 24

2017 ieee technical field awards

IEEE Robotics and Automation Award

IEEE Frank Rosenblatt Award

Sponsored by the IEEE Robotics and Automation Society

Sponsored by the IEEE Computational Intelligence Society

Oussama Khatib

Stephen Grossberg

For contributions to the development of
robot control and human-centered and
humanoid robotics, and leadership in the
robotics community

For contributions to understanding brain
cognition and behavior and their emulation by technology

Oussama Khatib's seminal work on robot planning and control
has radically changed the basis of manipulation, interaction, locomotion, and other aspects of system design critical to the development of human-friendly robots. Khatib developed the artificial
potential field concept for reactive control of robots, which became a fundamental framework for real-time obstacle avoidance.
His pioneering contribution of control in operational space rather than joint space has been integral to advances in whole-body
motion and force control, and in humanoid robotics. His group
created macro-mini actuation for greater safety in medical robotics and in applications where humans work in close proximity
to robots. Khatib's recent work on a robotics-based approach to
human motor control and human motion understanding is providing substantial benefits to restoring movement and improving
human performance.
An IEEE Fellow, Khatib is a professor with the Department
of Computer Science at Stanford University, Stanford, CA, USA.

Stephen Grossberg's foundational work on modeling how brain
mechanisms give rise to behavior functions has played an important role in understanding the human mind and enabling machines
to adapt to unexpected changes.The ability of his models to adapt
autonomously in real time to unexpected environments makes
them suitable for applications including image processing, pattern
recognition and prediction, and robotics. He is best known for
his Adaptive Resonance Theory, which concerns how the brain
can learn new objects without forgetting previously learned patterns. He also developed the concept of Laminar Computing. His
principle of Complementary Computing has demonstrated how
the brain is organized in pairs of parallel streams that compute
complementary processes that allow for trade-oﬀs necessary for
adaptive intelligent systems.
An IEEE Fellow, Grossberg is the Wang Professor of Cognitive
and Neural Systems at Boston University, Boston, MA, USA.

IEEE Marie Sklodowska-Curie Award

IEEE Innovation in Societal Infrastructure Award

Sponsored by the IEEE Nuclear and Plasma Sciences Society

Sponsored by Hitachi, Ltd. and the IEEE Computer Society

Chandrashekhar Joshi

Antonello Monti

For groundbreaking contributions to and
leadership in the field of plasma particle
accelerators

For accelerating innovation of energy,
information, and communication technologies for the urban environment

Chandrashekhar Joshi is overcoming the challenges of providing
smaller, more cost-eﬀective versions of arguably the most important instrument of scientific discovery-the high-energy particle
accelerator. Acknowledged as the undisputed leader in the drive
to make plasma accelerators a reality, Joshi has demonstrated that
charged particles can be accelerated thousands of times more
rapidly using plasma compared to traditional radio-frequencywave technology. To reduce the massive size of current machines,
Joshi uses powerful laser pulses or charged particle bunches to
create charged-density waves in ionized gas. The results achieved
by Joshi's plasma accelerator group have led to major national
experimental facilities working toward building terra-volt-scale
plasma-based particle colliders needed at the frontier of particle
physics while reducing their cost.
An IEEE Fellow, Joshi is a Distinguished Chancellor's Professor of Electrical Engineering at the University of California, Los
Angeles (UCLA), Los Angeles, CA, USA.

Antonello Monti's visionary research is delivering advances in
providing stable, secure, and eﬃcient energy supply systems in
buildings and urban environments. With a focus on automating
complex power systems based on network dynamics and information and communication technologies, his power hardware in
the loop (PhiL) simulation tools have made it possible to link reallife power equipment to real-time simulation of power systems
to validate the impact of dynamics and delay times of algorithms,
controllers, converters, and communication systems on electrical distribution grids. He has also been a leader in exploring the
potential of cloud-based platforms for complete virtualization of
power infrastructures, which will revolutionize how utilities operate by providing service-based energy solutions in extremely
short time periods.
An IEEE Senior Member, Monti is a professor and institute director with the E. ON Energy Research Center, RWTH Aachen
University, Aachen, Germany.

24 | 2017 IEEE awards bOOkLET

Table of Contents for the Digital Edition of IEEE Awards Booklet - 2017

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