Sethu
Vijayakumarholds a Personal Chair in Robotics
and is the Director of the Institute of Perception,
Action & Behavior (IPAB)in the
School of Informatics at the University
of Edinburgh. Since 2007, he is the Microsoft/Royal
Academy of Engineering Senior Research Fellow in Learning Robotics.
He also holds additional appointments as an Adjunct
Facultyof the
University of Southern California(USC), Los
Angeles, a Visiting Research Scientistat the ATRComputational Neuroscience Labs,
Kyoto-Japan
and the
RIKEN Brain Science Institute,
Tokyo. He has a Ph.D.('98) in Computer Science and Engineering from
the Tokyo Institute of Technology.
Prof. Vijayakumar previously held the position ofReader (2007-2010) and Lecturer (2003-2007) at the
University of Edinburgh, a Research Assistant Professor
('01-'03) at USC and a Staff Scientist ('98-'00) at the
RIKEN Brain Science Institute. His research
interest spans a broad interdisciplinary curriculum involving basic research
in the fields of statistical machine learning, motor control,
planning and optimization in autonomous systems
and computational neuroscience. See here
for a list of his
publications. Sethu is a keen science communicator and in recent
years, has been active in conceptualising, producing and presenting
several public outreach events to engage with the
general public and children on all things science and engineering.
Jun 2012: We are
hosting the International Conference on Machine Leaning
(ICML 2012) in Edinburgh!! I am
also the Area Chair for Robotics: Science and Systems (R:SS
2012) to be held in Sydney (see you down under!) Aug 2011: Some of
our work was featured on the BBC Bang Goes the Theory programme
[details]. Jul 2011: I
delivered a keynote lecture at the Summer School on
Variable Impedancein Germany. Projects: Our active
projects include an EU FP6 STREP project STIFF(on variable impedance actuation) and
a FP7 STREP project
TOMSY and an EPSRC project TBMS on the topics of Topology
Based
Motion Synthesis.
What is this about...a short clip can be found
here. You can check out all my outreach activities
andsome of the media coveragehere. This includes the inaugural lecture of
EISF2009 with ASIMO! [The show - 50 min] [The making of video
- 8 min] 2007:
I have been awarded
the Microsoft/Royal Academy of Engineering Senior Research Fellowship. Check out our new home since June 2008: The
Informatics Forum, in the Edinburgh Inspiring Capital
video. Details
of
my research group, the Statistical Learning & Motor Control
(SLMC) lab can be accessed
here.
Sethu Vijayakumar,
Aaron D'Souza and Stefan Schaal,
Incremental Online Learning in High Dimensions, Neural Computation, vol. 17, no. 12, pp. 2602-2634 (2005).
[pdf] [LWPR
software] [see next for usage guide]
Stefan Klanke, Sethu Vijayakumar and Stefan Schaal, A Library for Locally Weighted Projection Regression,
Journal of Machine Learning Research (JMLR), vol. 9, pp. 623--626 (2008).
[pdf][DOI]
Djordje Mitrovic,
Stefan Klanke and Sethu Vijayakumar,
Learning Impedance Control of Antagonistic Systems based on Stochastic
Optimisation Principles,
International Journal of Robotic Research (IJRR),
Vol. 30, No. 5, pp. 556-573 (2011). [pdf][DOI]
Sethu
Vijayakumar and Hidemitsu Ogawa,
A Functional Analytic Approach
to Incremental Learning in Optimally Generalizing Neural Networks, Proc. IEEE
International Conference on Neural Networks (ICNN '95), Australia, vol. 2, pp.777-782 (1995).[DOI]
(Winner of Best Student Paper at ICNN 1995)
Jo-Anne-Ting,
Sethu Vijayakumar and Stefan Schaal,
Locally Weighted
Regression for Control, In:
Sammut, C. and Webb, G. I. (Eds.) Encyclopedia of Machine Learning,
pp. 613-624, Springer (2010).
[pdf]
Sethu Vijayakumar, Timothy Hospedales and Adrian Haith, Generative
Probabilistic Modeling: Understanding Causal Sensorimotor Integration,
In: Trommershauser, Kording & Landy (Eds),Sensory Cue
Integration, pp. 63-81, Oxford University Press (2011) [OUP][preprint]
Timothy Hospedales and Sethu Vijayakumar,
Bayesian Structure Inference for Multisensory Scene Understanding,
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol.
30, no. 12, pp. 2140-2157 (2008).
[pdf][DOI]
Sebastian Bitzer and Sethu Vijayakumar,
Latent Spaces for Dynamic Movement Primitives,
Proc. 9th IEEE RAS International Conference on humanoid Robots (Humanoids ’09),
Paris, France (2009). [pdf]
Djordje Mitrovic, Stefan Klanke,
Rieko Osu, Mitsuo Kawato and Sethu Vijayakumar,
A Computational Model of Limb Impedance Control based on Principles of Internal Model Uncertainty,
PLoS ONE, Vol. 5, No. 10 (2010). [pdf][DOI]
Sethu Vijayakumar,
Aaron D'Souza, Tomohiro Shibata, Jorg Conradt and Stefan Schaal, Statistical Learning for
Humanoid Robots,
Autonomous Robots , Vol. 12, No.1, pp. 55-69 (2002). [pdf]
Djordje Mitrovic,
Stefan Klanke and Sethu Vijayakumar,
Adaptive Optimal Feedback Control with Learned Internal Dynamics Models,
In: O. Sigaud and J. Peters (eds.): From Motor Learning to Interaction
Learning in Robots, SCI 264, pp. 65-84, Springer-Verlag (2010). [pdf]
Graham McNeill and Sethu Vijayakumar,
Part-based Probabilistic Point Matching Using Equivalence Constraints,
Proc. Advances in Neural Information Processing Systems (NIPS '06), Vancouver (2006). [pdf]
Sethu Vijayakumar
and Hidemitsu Ogawa,
RKHS based Functional Analysis
for Exact Incremental Learning Neurocomputing, Vol.29, No.1-3, pp.85-113, Elsevier Science(1999).
[pdf]
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar and Stefan Schaal,
Efficient Learning and Feature Selection in High Dimensional
Regression,
Neural Computation, vol. 22, no. 4, pp. 831-886 (2010). [pdf]
Ian Saunders and Sethu Vijayakumar,
The Role of Feed-Forward and Feedback Processes for Closed-Loop
Prosthesis Control, Journal of Neuroengineering and Rehabilitation (JNER), 8:60 (2011). [pdf][DOI]
Sethu
Vijayakumar 