C. W. Rempis and F. Pasemann, “An interactively constrained neuro-evolution
approach for behavior control of complex robots,” in Variants of
Evolutionary Algorithms for Real-World Applications (R. Chiong, T. Weise,
and Z. Michalewicz, eds.), pp. 305-341, Springer, 2012.
[ bib |
html |
pdf |
]
A. von Twickel, M. Hild, T. Siedel, V. Patel, and F. Pasemann, “Neural control
of a modular multi-legged walking machine: Simulation and hardware,”
Robotics and Autonomous Systems, vol. 60, no. 2, pp. 227 - 241, 2012.
[ bib |
DOI |
]
A. von Twickel, A. Büschges, and F. Pasemann, “Deriving neural network
controllers from neuro-biological data - implementation of a single-leg
stick insect controller,” Biological Cybernetics, vol. Online First,
2011.
[ bib |
DOI |
html |
pdf ]
P. Manoonpong, F. Wörgötter, and F. Pasemann, “Biological inspiration for
mechanical design and control of autonomous walking robots: Towards life-like
robots.,” The International Journal of Applied Biomedical Engineering
(IJABME), vol. 3, no. 1, pp. 1-12, 2010.
[ bib ]
P. Manoonpong, F. Pasemann, and F. Wörgötter, “Sensor-driven neural
control for omnidirectional locomotion and versatile reactive behaviors of
walking machines,” Robotics and Autonomous Systems, vol. 56, pp. 265
- 288, 2008.
Elsevier Science.
[ bib |
DOI ]
P. Manoonpong, F. Pasemann, and F. Wörgötter, “Reactive neural control for
phototaxis and obstacle avoidance behavior of walking machines,”
International Journal of Mechanical Systems Science and Engineering, vol. 1,
pp. 172-177, 2008.
(selected paper on PWASET-2007 conference).
[ bib ]
M. Negrello, M. Hülse, and F. Pasemann, “Adaptive neurodynamics,” in
Applications of Complex Adaptive Systems (A. Yang and Y. Shan, eds.), pp. 85
- 111, USA: Idea Group: Hershey, PA. USA, 2008.
[ bib ]
M. Negrello and F. Pasemann, “Attractor landscapes and active tracking: The
neurodynamics of embodied action,” Adaptive Behavior, vol. 16, pp. 196
- 216, 2008.
[ bib ]
P. Manoonpong, F. Pasemann, and H. Roth, “Modular reactive neurocontrol for
biologically-inspired walking machines,” The International Journal of
Robotics Research, vol. 26, pp. 301-331, 2007.
[ bib |
DOI ]
A. von Twickel and F. Pasemann, “Reflex-oscillations in evolved single leg
neurocontrollers for walking machines,” Natural Computing, vol. 6,
no. 3, pp. 311-337, 2007.
[ bib |
DOI |
publisher |
pdf |
]
P. Manoonpong, F. Pasemann, and H. Roth, “A modular neurocontroller for a
sensor-driven reactive behavior of biologically inspired walking machines,”
International Journal of Computing, vol. 5, pp. 75-86, 2006.
[ bib |
publisher |
pdf ]
S. Wischmann, M. Hülse, J. Knabe, and F. Pasemann, “Synchronization of
internal neural rhythms in multi-robotic systems,” Adaptive Behavior,
vol. 14, no. 2, pp. 117-127, 2006.
[ bib |
pdf ]
P. Manoonpong, F. Pasemann, J. Fischer, and H. Roth, “Neural Processing of
Auditory Signals and Modular Neural Control for Sound Tropism
of Walking Machines,” International Journal of Advanced Robotic
Systems, vol. 2, no. 2, pp. 223-235, 2005.
[ bib |
pdf ]
M. Hülse, S. Wischmann, and F. Pasemann, “Structure and function of evolved
neuro-controllers for autonomous robots,” Connection Science, vol. 16,
no. 4, pp. 249-266, 2004.
[ bib |
publisher ]
F. Pasemann, “Complex dynamics and the structure of small neural networks,”
Network: Computation in Neural Systems, vol. 13, pp. 195-216, 2002.
[ bib |
publisher |
pdf ]
F. Pasemann, U. Steinmetz, M. Hülse, and B. Lara, “Robot control and the
evolution of modular neurodynamics,” Theory in Biosciences, vol. 120,
pp. 311-326, 2001.
[ bib |
pdf ]
T. Wennekers and F. Pasemann, “Generalized types of synchronization in
networks of spiking neurons,” Neurocomputing, vol. 38-40,
pp. 1037-1042, 2001.
[ bib |
pdf ]
F. Pasemann and Wennekers, “Generalized and partial synchronization of coupled
neural networks,” Network: Computation in Neural Systems, vol. 11,
pp. 41-61, 2000.
[ bib |
pdf ]
F. Pasemann, “Synchronous and asynchronous chaos in coupled neuromodules,”
International Journal of Bifurcation and Chaos, vol. 9, pp. 1957-1968,
1999.
[ bib |
pdf ]
F. Pasemann and T. Wennekers, “Complete synchronization in coupled
neuromodules of different types,” Theory in Biosciences, vol. 118,
pp. 267-283, 1999.
[ bib |
pdf ]
F. Pasemann, “Evolving neurocontrollers for balancing an inverted pendulum,”
Network: Computation in Neural Systems, vol. 9, pp. 495-511, 1998.
[ bib |
pdf ]
F. Pasemann and N. Stollenwerk, “Attractor switching by neural control of
chaotic neurodynamics,” Network: Computation in Neural Systems,
vol. 9, pp. 549-561, 1998.
[ bib |
pdf ]
T. Wennekers and F. Pasemann, “Synchronous chaos in highdimensional modular
neural networks,” International Journal of Bifurcation and Chaos,
vol. 6, pp. 2055-2067, 1996.
[ bib |
pdf ]
H. Toutounji and F. Pasemann, “Autonomous learning needs a second
environmental feedback loop,” in K., Dourado, A., Rosa, A., Filipe, J.
(Eds.), Computational Intelligence, IJCCI 2013, Revised Selected papers,
Springer, to appear, 2014.
[ bib ]
C. W. Rempis, “A neural network to capture demonstrated motions on a humanoid
robot to rapidly create complex central pattern generators as reusable neural
building blocks,” in Proceedings of the International Conference on
Robotics and Automation (ICRA 2013), IEEE, 2013.
[ bib ]
C. Rempis, H. Toutounji, and F. Pasemann, “Controlling the learning of
behaviors in the sensorimotor loop with neuromodulators in self-monitoring
neural networks.” ICRA Workshop on Autonomous Learning, 2013.
[ bib |
pdf ]
F. Pasemann, “Self-regulating neurons in the sensorimotor loop,” in
Advances in Computational Intelligence,LNCS,79, pp. 481-491, Springer,
2013.
[ bib ]
C. Rempis and F. Pasemann, “Evolving variants of neuro-control using
constraint masks,” in From Animals to Animats 12 (T. Ziemke,
C. Balkenius, and J. Hallam, eds.), vol. 7426 of Lecture Notes in
Computer Science, pp. 187-197, Springer Berlin / Heidelberg, 2012.
10.1007/978-3-642-33093-3_19.
[ bib |
materials |
pdf |
]
A. von Twickel, K. Hellekes, F. Pasemann, and A. Büschges, “Interplay of
local and global co-ordination in stick insect walking - an evolutionary
robotics approach,” in 9th Göttingen Meeting of the German
Neuroscience Society, pp. T21-3B, 2011.
[ bib ]
C. W. Rempis and F. Pasemann, “Search space restriction of neuro-evolution
through constrained modularization of neural networks,” in Proceedings
of the 6th International Workshop on Artificial Neural Networks and
Intelligent Information Processing (ANNIIP), in Conjunction with ICINCO
2010. (K. Mandai, ed.), (Madeira, Portugal), pp. 13-22, SciTePress, June
2010.
[ bib |
pdf ]
P. Manoonpong, F. Pasemann, C. Kolodziejski, and F. Wörgötter, “Designing
Simple Nonlinear Filters Using Hysteresis of Single Recurrent Neurons for
Acoustic Signal Recognition in Robots,” Artificial Neural
Networks-ICANN 2010, pp. 374-383, 2010.
[ bib ]
C. W. Rempis, V. Thomas, F. Bachmann, and F. Pasemann, “NERD -
Neurodynamics and Evolutionary Robotics Development Kit,” in
SIMPAR 2010 (N. A. et al., ed.), vol. 6472 of Lecture Notes in
Artificial Intelligence, pp. 121-132, Springer, Heidelberg, 2010.
[ bib |
html |
pdf |
]
P. Manoonpong, F. Wörgötter, and F. Pasemann, “Neural preprocessing of
auditory-wind sensory signals and modular neural control for auditory-and
wind-evoked escape responses of walking machines,” in Robotics and
Biomimetics, 2008. ROBIO 2008. IEEE International Conference on,
pp. 786-793, IEEE, 2009.
[ bib ]
K. Zahedi, A. von Twickel, and F. Pasemann, “Yars: A physical 3d simulator for
evolving controllers for real robots,” in Simulation, Modeling and
Programming for Autonomous Robots (SIMPAR 2008) (S. Carpin, I. Noda,
E. Pagello, M. Reggiani, and O. von Stryk, eds.), vol. 5325 of LNAI,
pp. 75-86, Springer, 2008.
[ bib |
DOI |
pdf |
]
M. Hülse, S. Wischmann, A. von Twickel, P. Manoonpong, and F. Pasemann,
“Dynamical systems in the sensorimotor loop,” in 50 Years of AI,
Festschrift (M. Lungarella, F. Iida, J. Bongard, and R. Pfeifer, eds.),
vol. 4850 of Lecture Notes in Artificial Intelligence (LNAI), (Berlin
Heidelberg), pp. 186 - 195, Springer Verlag, 2007.
[ bib ]
M. Hild and F. Pasemann, “Self-adjusting ring modules (sarms) for flexible
gait pattern generation,” in Proceedings IJCAI'07, pp. 848-852, 2007.
[ bib ]
P. Manoonpong, F. Pasemann, and F. Wörgötter, “Reactive neural control for
phototaxis and obstacle avoidance behavior of walking machines,” in
Proceedings of World Academy of Science, Engineering and Technology (PWASET),
International conference on Intelligent systems (ICIS 2007), vol. 26,
(Bankok, Thailand December 20-22, 2007), 2007.
ISSN: 1307-6884.
[ bib ]
M. Negrello and F. Pasemann, “Transients of active tracking: A stroll in
attractor spaces,” in Advances in Artificial Life - ECAL 2007 (F. A.
e Costa et al., ed.), vol. 4648 of LNAI, (Berlin), pp. 1006 - 1015,
Springer, 2007.
[ bib ]
S. Wischmann, F. Pasemann, and F. Wörgötter, “Cooperation and competition:
Neural mechanisms of evolved communication systems,” in Workshop on The
Emergence of Social Behaviour: From Cooperation to Language pattern -
ECAL07, 2007.
CD-ROM.
[ bib ]
K. Zahedi and F. Pasemann, “Adaptive behavior control with self-regulating
neurons,” in 50 Years of AI (M. Lungarella, F. Iida, J. Bongard, and
R. Pfeifer, eds.), vol. 4850 of LNAI, (Berlin Heidelberg), pp. 196 -
205, Springer Verlag, 2007.
[ bib ]
A. von Twickel, M. Hild, T. Siedel, and F. Pasemann, “Octavio: Autonomous legs
for a reconfigurable walking machine,” in HLR 2006, French-German
Workshop on Humanoid and Legged Robots (C. Simonidis, ed.), (Karlsruhe),
September 2006.
[ bib |
conference ]
M. Hülse, K. Zahedi, S. Wischmann, and F. Pasemann, “In the search of
principles underlying cognitive phenomena,” in Proceedings of the 50th
Anniversary Summit of Artificial Intelligence ASAI50, (Conference: Monte
Verita, Ascona, Switzerland), July 9-14 2006.
[ bib |
pdf ]
F. Pasemann, “Formalizing emergence to accelerate the accretion of embodied
intelligence,” in Proceedings of the ASAI50, (Conference: Monte
Verita, Ascona, Switzerland), July 9-14 2006.
[ bib |
pdf ]
P. Manoonpong, F. Pasemann, and H. Roth, “A modular neurocontroller for a
sensor-driven reactive behavior of biologically inspired walking machines,”
in Proceedings of the fourth International Conference on Neural Networks
and Artificial Intelligence (ICNNAI'2006), (Conference: Brest, Belarus), May
31-June 2 2006.
[ bib |
pdf ]
M. Hülse and F. Pasemann, “Modular design of irreducible systems,” in
From animals to Animats 9. 9th International Conference on Simulation of
Adaptive Behavior, SAB 2006 (S. e. a. Nolfi, ed.), no. 4095 in LNAI,
(Berlin), pp. 534-545, Springer-Verlag, 2006.
[ bib |
publisher |
pdf ]
A. von Twickel and F. Pasemann, “Adaptive behaviour of single legs with
evolved neural control,” in Dynamical principles for neuroscience and
intelligent biomimetic devices (A. J. Ijspeert, J. Buchli, A. Selverston,
M. Rabinovich, M. Hasler, W. Gerstner, A. Billard, H. Markram, and
D. Floreano, eds.), pp. 137-138, EPFL, 2006.
ISBN 978-2-8399-0134-5.
[ bib |
conference ]
S. Wischmann and F. Pasemann, “The emergence of communication by evolving
dynamical systems,” in From animals to Animats 9. 9th International
Conference on Simulation of Adaptive Behavior, SAB 2006 (S. e. a. Nolfi,
ed.), no. 4095 in LNAI, (Berlin), pp. 777-788, Springer-Verlag, 2006.
[ bib |
publisher |
pdf ]
M. Hülse, S. Wischmann, and F. Pasemann, “The role of non-linearity for
evolved multifunctional robot behavior,” in ICES 2005, Evolvable
systems: From biology to hardware (J. M. Moreno, J. Madrenas, and J. Cosp,
eds.), no. 3637 in LNCS, pp. 108-118, 2005.
[ bib |
pdf ]
P. Manoonpong and F. Pasemann, “Advanced Mobility Sensor driven- Walking
Device02 (AMOS-WD02),” in Proceedings of the Third International
Symposium on Adaptive Motion in Animals and Machines, Robot data sheet,
(Ilmenau), ISLE Verlag, 2005.
[ bib |
pdf ]
P. Manoonpong, F. Pasemann, and J. Fischer, “Modular neural control for a
reactive behavior of walking machines,” in Proceedings of the 6th IEEE
Symposium on Computational Intelligence in Robotics and Automation,
(CIRA2005), (Helsinki University of Technology, Finland), pp. 403-408,
2005.
27 - 30 June.
[ bib |
pdf ]
A. von Twickel and F. Pasemann, “Evolved neural reflex-oscillators for walking
machines,” Lecture Notes in Computer Science, vol. 3561, pp. 376-385,
2005.
[ bib |
publisher |
pdf ]
S. Wischmann, M. Hülse, and F. Pasemann, “(co)Evolution of
(De)centralized Neural Control for a Gravitationally Driven,” in
ECAL 2005 (M. et al., ed.), vol. 3630, pp. 179-188, LNAI, 2005.
[ bib |
pdf ]
J. Fischer, F. Pasemann, and P. Manoonpong, “Neuro-Controllers for Walking
Machines - An Evolutionary Approach to Robust Behavior,” in
CLAWAR 2004 (M. Armada and P. G. de Santos, eds.), pp. 97-102, 2004.
[ bib ]
M. Hülse and F. Pasemann, “Expansion of Neuro-Modules by Structure
Evolution,” in SOAVE 2004 (H. Gross, K. Debes, and H. Boehme, eds.),
no. 743 in Fortschritt-Berichte VDI, pp. 135-145, 2004.
[ bib |
pdf ]
B. Klaassen, K. Zahedi, and F. Pasemann, “A Modular Approach to
Construction and Control of Walking Robots,” in Robotik 2004:
Leistungsstand, Anwendungen, Visionen, Trends, no. 1841 in VDI-Berichte,
pp. 633-640, 2004.
[ bib |
pdf ]
P. Manoonpong, F. Pasemann, and J. Fischer, “Neural Processing of
Auditory-tactile Sensor Data to Perform Reactive Behavior of
Walking Machines,” in Proceedings of the IEEE MechRob2004. CD-ROM,
pp. 189-194, 2004.
[ bib |
pdf ]
S. Wischmann and F. Pasemann, “From Passive to Active Dynamic 3D
Bipedal Walking - An Evolutionary Approach,” in CLAWAR 2004,
pp. 737-744, 2004.
[ bib ]
K. Zahedi, M. Hülse, and F. Pasemann, “Evolving neurocontrollers in the
robocup domain,” in Robotik 2004. Leistungsstand, Anwendungen,
Visionen, Trends, no. 1841 in VDI-Berichte, pp. 63-70, 2004.
[ bib |
pdf ]
M. Hülse, K. Zahedi, and F. Pasemann, “Representing robot-environment
interactions by dynamical features of neuro-controllers,” in
Anticipatory Behavior in Adaptive Learning Systems, LNAI 2684 (M. Butz,
O. Sigaud, and P. Gérard, eds.), (Berlin), pp. 222-242, Springer, 2003.
[ bib |
pdf ]
F. Pasemann, M. Hülse, and K. Zahedi, “Evolved neurodynamics for robot
control,” in European Symposium on Artificial Neural Networks'2003
(M. Verleysen, ed.), pp. 439-444, D-side publications, 2003.
[ bib |
pdf ]
F. Pasemann, M. Hild, and K. Zahedi, “So(2)-networks as neural oscillators,”
in Computational Methods in Neural Modeling, Proceedings IWANN 2003,
LNCS 2686 (J. Mira and J. R. Alvarez, eds.), Berlin, Springer, 2003.
[ bib ]
R. Breithaupt, J. Dahnke, K. Zahedi, J. Hertzberg, and F. Pasemann,
“Robo-salamander: an approach for the benefit of both robotics and
biology,” in 5th International Conference on Climbing and Walking
Robots (P. Bedaud, ed.), pp. 55 - 62, 2002.
[ bib |
pdf ]
M. Hülse and F. Pasemann, “Dynamical neural schmitt trigger for robot
control,” in Artificial Neural Networks - ICANN 2002, International
Conference, Madrid, Spain, August 28-30, 2002. Proceedings. LNCS 2415
(J. Dorronsoro, ed.), (Berlin), pp. 783-788, Springer Verlag, 2002.
[ bib |
pdf ]
M. Hülse, B. Lara, F. Pasemann, and U. Steinmetz, “Evolving neural behavior
control for autonomous robots,” in Proceedings International Conference
on Artificial Neural Networks (ICANN 2001), LNCS 2130, (Berlin),
pp. 957-962, Springer Verlag, 2001.
[ bib ]
B. Lara, M. Hülse, and F. Pasemann, “Evolving different neuro-modules and
their interfaces to control autonomous robots,” in Proceedings The 5th
World Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2001),
July 22-25, 2001, Orlando, Florida USA, pp. 259-264, 2001.
[ bib |
pdf ]
F. Pasemann, U. Steinmetz, M. Hülse, and B. Lara, “Evolving brain structures
for robot control,” in Bio-Inspired Applications of Connectionism,
Proceedings IWANN 2001, LNCS 2085 (J. Mira and A. Prieto, eds.), (Berlin),
pp. 410-417, Springer Verlag, 2001.
[ bib |
pdf ]
R. Der, U. Steinmetz, and F. Pasemann, “Homeokinesis - a new principle to back
up evolution with learning,” in Computational Intelligence for
Modelling, Control, and Automation, Concurrent Systems Engineering Series
Vol. 55, Proceedings, CIMCA' 99, Vienna, February 17-19, 1999
(M. Mohammadian, ed.), pp. 43-47, IOS Press, 1999.
[ bib |
pdf ]
F. Pasemann, “Driving neuromodules into synchronous chaos,” in
Foundations and Tools for Beural Modeling, IWANN'99, Alicante, June 2-4,
Proceedings, Vol. I, LNCS 1606 (J. Mira and Sanchez-Andres, eds.),
pp. 377-384, 1999.
[ bib |
pdf ]
F. Pasemann, “Synchronizing chaotic neuromodules,” in European Symposium
on Artificial Neural Networks, ESANN'99, Bruges, April 21-23, 1999,
Proceedings (M. Verleysen, ed.), pp. 1-6, D-Facto, 1999.
[ bib |
pdf ]
F. Pasemann, “Synchronized chaos in coupled neuromodules of different types,”
in Proceedings of the International Joint Conference on Neural Networks
(IJCNN'99), Washington, (Piscataway), IEEE-CD, 1999.
[ bib |
pdf ]
F. Pasemann, U. Dieckmann, and U. Steinmetz, “Evolving structure and function
of neurocontrollers,” in Proceedings of the 1999 Congress on
Evolutionary Computation, Washington, July 6-9, (Piscataway),
pp. 1937-1978, IEEE Press, 1999.
[ bib |
pdf ]
F. Pasemann, “Pole-balancing with different evolved neurocontrollers,” in
Artificial Neural Networks - ICANN'97, October 7-10, Lausanne,
Switzerland, Proceedings, LNCS 1327 (W. Gerstner, A. Germond, M. Hasler, and
J.-D. Nicoud, eds.), (Berlin), pp. 823-829, Springer, 1997.
[ bib |
pdf ]
F. Pasemann and U. Dieckmann, “Evolved neurocontrollers for pole-balancing,”
in Biological and Artificial Computation: From Neuroscience to
Technology, Proceedings IWANN'97, Lanzarote, Canary Islands, Spain, June
1997 (J. C. J. Mira, R. Moreno-Diaz, ed.), pp. 1279-1287, 1997.
[ bib |
pdf ]
N. Stollenwerk and F. Pasemann, “Switching in self-controlled chaotic
neuromodules,” in World Congress on Neural Networks, San Diego,
California, Sept. 15-18, 1996, (New Jersey), pp. 680-684, INNS Press and
Lawrence Erlbaum, 1996.
[ bib |
pdf ]
C. W. Rempis, Evolving Complex Neuro-Controllers with Interactively
Constrained Neuro-Evolution.
PhD thesis, Osnabrück University, October 2012.
[ bib |
html |
pdf |
]
H. Gräuler, “Hierarchical neural control of a humanoid robot arm in the
sensorimotor loop,” Master's thesis, University of Osnabrück, May 2011.
[ bib ]
S. Ludwig, “Performance evaluation of modular crossover for the
neuro-evolution method ICONE,” Bachelor's thesis, University of
Osnabrück, April 2011.
[ bib ]
A. von Twickel, Embodied Modular Neural Control of Walking in Stick
Insects - From Biological Models to Evolutionary Robotics.
PhD thesis, University of Cologne, Germany, March 2011.
[ bib |
pdf ]
T. Faber, “Visualization of neurodynamical properties for an evolutionary
robotics environment,” Bachelor's thesis, University of Osnabrück,
November 2010.
[ bib ]
T. Siedel, “Entwicklung eines elektromechanischen Antriebssystems für
Gehroboter in Anlehnung an biologische Prinzipien,” Diplomarbeit,
Rheinische Fachhochschule Köln, 2009.
[ bib ]
P. Benner, “Phase relations of coupled oscillatory neural networks and
applications in walking machines,” Bachelor's thesis, University of
Osnabrück, June 2008.
[ bib ]
N. Mühleis, “Firmware für das verteilte Multiprozessorsystem des
modularen Laufroboters ”Octavio”,” Diplomarbeit, Universität
Oldenburg, Dezember 2008.
[ bib ]
V. Patel, “Neuro-control in the sensorimotor loop: Multi-modal motor control
for a modular walking machine,” Master's thesis, Fachhochschule
Bonn-Rhein-Sieg, 2008.
[ bib ]
V. Thomas, “Evolution einer kamerabasierten neurokontrolle autonomer roboter
unter berücksichtigung der eigenbewegung,” Master's thesis, Rheinische
Friedrich-Wilhelms-Universität, 2008.
[ bib ]
S. Wischmann, Neural dynamics of social behavior: An evolutionary and
mechanistic perspective on communication, cooperation, and competition among
situated agents.
PhD thesis, University of Bonn, Germany, 2008.
[ bib |
pdf ]
A. Chakraborty, “Neuro-controllers for single leg using torque driven motor
system,” Master's thesis, University of Applied Sciences Bonn-Rhein-Sieg,
December 2007.
[ bib ]
C. W. Rempis, “Short-term memory structures in additive recurrent neural
networks,” Master's thesis, University of Applied Sciences Bonn-Rhein-Sieg,
2007.
[ bib |
pdf ]
M. Hülse, Multifunktionalität rekurrenter neuronaler Netze:
Synthese und Analyse nichtlinearer Kontrolle autonomer Roboter.
PhD thesis, University of Osnabrück, Germany, 2006.
[ bib |
pdf ]
J. Fischer, A modulatory learning rule for neural learning and
metalearning in real world robots with many degrees of freedom.
No. 3 in Fraunhofer series in information and communication
technology 2004, Shaker, Aachen, 2004.
PhD thesis.
[ bib ]
A. von Twickel, “Obstacle perception by scorpions and robots - From biology
to robotics via physical simulation and evolving neural networks,”
Diplomarbeit, Universität Bonn, 2004.
[ bib |
pdf ]
H. Toutounji and F. Pasemann, “Behavior control in the sensorimotor loop with
short-term synaptic dynamics induced by self-regulating neurons,”
Frontiers in Neurorobotics, vol. 8, no. 19, 2014.
[ bib |
DOI |
]
C. W. Rempis, M. Hild, and F. Pasemann, “Enhancing the neuro-controller design
process for the myon humanoid robot,” technical report, Technical Report,
University of Osnabrück, Germany, urn:nbn:de:gbv:700-2013071711000, June
2013.
[ bib |
pdf |
]
C. W. Rempis, H. Toutounji, and F. Pasemann, “Evaluating
neuromodulator-controlled stochastic plasticity for learning recurrent neural
control networks,” in Proceedings of the 5th International Joint
Conference on Computational Intelligence, pp. 489-496, 2013.
[ bib |
DOI ]
K. Zahedi, M. Hülse, and F. Pasemann, “Evolution nicht-linearer kontroller
für mobile roboter in dynamischen umgebungen,”
Automatisierungstechnische Praxis atp, vol. (2004), no. 10, pp. 97-100,
2004.
[ bib |
pdf ]
F. Pasemann, Interne Repräsentationen - Neue Konzepte der Hirnforschung,
ch. Repräsentation ohne Repräsentation - Überlegungen zu einer
Neurodynamik modularer kognitiver Systeme.
Frankfurt: Suhrkamp, 1996.
[ bib |
pdf ]
This file has been generated by
bibtex2html
and the script bibgen.sh based on the one found
here