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Multi-Robot Control Systems

 Jet Propulsion Laboratory



Member: Dr. Adrian Stoica

Jet Propulsion Laboratory
M/S 303-300
4800 Oak Grove Drive
Pasadena, CA 91109
tel. 818.354.2190
email: adrian.stoica at jpl.nasa.gov
Resume

PhD Thesis:
Motion Learning by Robot Apprentices- a Fuzzy Neural Approach


Biography: Adrian has over twenty years of R&D experience in autonomous systems, developing novel adaptive, learning and evolvable hardware techniques and embedding them into electronics and intelligent information systems, for app-lications ranging from measurement equipment to space avionics to robotics.



Member: Dr. Theo Theodoridis

Jet Propulsion Laboratory
M/S 303-300
4800 Oak Grove Drive
Pasadena, CA 91109
tel. 818.354.9098
email: ttheod at essex.ac.uk
Resume

PhD Thesis: Modelling Criminal Behaviors for Intelligent Robot Surveillance

Biography: Theo Theodoridis received the B.E. degree in automation engineering from the Technological Educational Institute of Piraeus, Greece, the M.Sc. degree in embedded systems and robotics, and the Ph.D. degree in intelligent crime-recognition robots from the University of Essex, U.K. Currently, he is working as a full time postdoctoral senior research officer (EPSRC grand), at the University of Essex, School of CSEE. His research is carried out at NASA’s Jet Propulsion Laboratory (JPL), focusing on multimodal human-robot interfaces for assistance, collaboration/coordination, and control of multiple robots.



Member: Dr. Kyrre Glette

Jet Propulsion Laboratory
M/S 303-300
4800 Oak Grove Drive
Pasadena, CA 91109
tel. 818.354.9098
email: kyrrehg at ifi.uio.no
Resume

PhD Thesis: Design and Implementation of Scalable Online Evolvable Hardware Pattern Recognition Systems

Biography: Kyrre Glette received his M.Sc. in Computer Engineering (2004) from the Norwegian University of Science and Technology, Norway, and his Ph.D. in Evolvable Hardware (2008) from the University of Oslo, Norway, with stays at the French Space Agency (CNES) in Toulouse, France, and the University of Tsukuba in Japan. He is currently employed at the University of Oslo as an Associate Professor.

Research:
My research interests include autonomous systems, robot learning, humanoids, human-robot interaction, robot control using biological signals (EEG, EMG), social robotics, cognitive robotics, adaptive and evolvable hardware, secure and high performance electronics, biometrics, foresight.

Publications (All):
1. A. Stoica, Robotic Scaffolds for Tissue Engineering and Organ Growth, AT-EQUAL 2009
2. A. Stoica, Towards Recognition of Humans and their Behaviors from Space and Airborne Platforms: Extracting the Information in the Dynamics of Human Shadows, IEEE BLISS-2008
3. A. Stoica, Humanoids for Lunar and Planetary Space Operations, ISR-2006.

Tasks:
▪ Project management/coordination on multi-robot control





Research:

My research interests include AI robotics related to evolutionary algorithms, quantum computation, computer vision, fuzzy and probabilistic reasoning, behavior-based and intelligent control, and AI gaming

Publications (All):
1. T. Theodoridis et al., Kinect Enabled Monte Carlo Localisation for a Robotic Wheelchair, IEEE IAS-2012
2. T. Theodoridis et al., Towards Intelligent Security Robots: A survey, IEEE TSMC-2011
3. T. Theodoridis et al., The Fuzzy Sarsa(λ) Learning Approach Applied to Strategic Route Learning Robot Behaviour, IEEE IROS-2006
 
Tasks:
▪ Multimodal human-robot control interfaces
▪ Multi-robot coordination/collaboration behaviours
▪ Speech, EMG, and inertial (IMU) driven robot control
▪ Visual odometry localization and monocular perception




Research:
My research interests include artificial intelligence and biologically-inspired systems, with a special focus on embedded and runtime evolvable hardware systems for machine learning. A second research interest is evolutionary robotics with an emphasis on design and prototyping of biologically inspired robots.

Publications (All):
1. K. Glette, et al., Evolution of locomotion in a simulated quadruped robot and transferral to reality, AROB-2012
2. P. Kaufmann, K. Glette, et al., Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers, IEEE TEC-2012
3. K. Glette, et al., Intermediate Level FPGA Reconfiguration for an Online EHW Pattern Recognition System, IEEE AHS-2009

Tasks:
▪ EMG analysis of human gestures for robot control
▪ Shape changing robots