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Poramate Manoonpong
姓名: Poramate Manoonpong 性别: 职务:
职称: 教授 导师类别: 硕士生导师 办公室:
研究领域: neural locomotion control of walking machines, biomechanics, dynamics of recurrent neural networks, learning/plasticity, embodied cognitive systems, prosthetic and orthopaedic devices, brain-machine interface, human-machine interaction.
电话: Email: poma@mmmi.sdu.dk
个人简介

Academic Background:

2006: Ph.D. (magna cum laude) in Electrical Engineering and Computer Science at the University of Siegen, Germany, with the thesis entitled “Neural Preprocessing and Control of Reactive Walking Machines”. Supervisors: Prof. Dr.-Ing. Hubert Roth and Prof. Dr. rer. nat. Frank Pasemann.

2002: M.Sc. in Mechatronics at Hochschule Ravensburg-Weingarten (University of Applied Sciences Ravensburg-Weingarten), Germany.

2000: B.Eng. (Hons) in Mechanical Engineering at King Mongkut's University of Technology Thonburi, Bangkok, Thailand.

Scientific Activities (selected):

Since 2016 Vice-Chairman of the Youth Commission of International Society of Bionic Engineering (ISBE)

2016: Guest Associate Editor of Frontiers in Neurorobotics on a Special Topic

Since 2015 Associate Editor, Frontiers in Neurorobotics (part of Frontiers in Neuroscience)

Since 2014 Coordinator of the RETURN project of ATPER

Since 2013 Editorial Board of Advances in Robotics Research (ARR)

Editorial Board of International Journal of Advanced Robotic Systems (ARS)

详细介绍:http://www.manoonpong.com/index.html

学术成果

Refereed Journal Publications [selected, out of 27]

1. Goldschmidt, D.; Manoonpong, P.; Dasgupta, S. (2017) A neurocomputational model of goal-directed navigation in insect-inspired embodied agents, Front. Neurorobot. 11:20. doi: 10.3389/fnbot.2017.00020 (JIF = 1.723, SJR = 1.05)

2. Shaikh, D and Manoonpong, P. (2017) An adaptive neural mechanism for acoustic motion perception with varying sparsity, Front. Neurorobot. 11:11. doi: 10.3389/fnbot.2017.00011

3. Nachstedt, T.; Tetzlaff, C.; Manoonpong, P. (2017) Fast Dynamical Coupling Enhances Frequency Adaptation of Oscillators for Robotic Locomotion Control, Front. Neurorobot. 11:14. doi: 10.3389/fnbot.2017.00014

4. Manoonpong, P.; Petersen, D.; Kovalev, A.; Woergoetter, F.; Gorb, S.; Spinner, M.; Heepe, L. (2016) Enhanced Locomotion Efficiency of a Bio-inspired Walking Robot using Contact Surfaces with Frictional Anisotropy, Scientific Reports/Nature journal 6(39455) doi:10.1038/srep39455

5. Di Canio, G.; Stoyanov, S.; Larsen, J.C.; Hallam, J.; Kovalev, A.; Kleinteich, T.; Gorb, S.N.; Manoonpong, P. (2016) A Robot Leg with Compliant Tarsus and its Neural Control for Efficient and Adaptive Locomotion on Complex Terrains, Artificial Life and Robotics 21, pp. 274–281, DOI 10.1007/s10015-016-0296-3

6. Xiong, X.; Woergoetter, F.; Manoonpong, P. (2015) Adaptive and Energy Efficient Walking in a Hexapod Robot under Neuromechanical Control and Sensorimotor Learning, IEEE Transactions on Cybernetics 99, DOI: 10.1109/TCYB.2015.2479237

7. Grinke, E.; Tetzlaff, C.; Wörgötter, F.; Manoonpong, P. (2015) Synaptic plasticity in a recurrent neural network for versatile and adaptive behaviors of a walking robot. Front. Neurorobot. 9:11. doi: 10.3389/fnbot.2015.00011

8. Ren, G.; Chen, W.; Dasgupta, S.; Kolodziejski, C.; Wörgötter, F.; Manoonpong, P. (2015) Multiple Chaotic Central Pattern Generators with Learning for Legged Locomotion and Malfunction Compensation. Information Sciences 294, 666–682 (Cited by 2, info. from Google scholar)

9. Dasgupta, S.; Woergoetter, F.; Manoonpong, P. (2014) Neuromodulatory Adaptive Combination of Correlation-based Learning in Cerebellum and Reward-based Learning in Basal Ganglia for Goal-directed Behavior Control. Front. Neural Circuits 8: 00126, ISSN=1662-5110, DOI: 10.3389/fncir.2014.00126 (Cited by 3, info. from Google scholar)

10. Goldschmidt, D.; Wörgötter F.; Manoonpong, P. (2014) Biologically-Inspired Adaptive Obstacle Negotiation Behavior of Hexapod Robots. Front. Neurorobot. 8:3. DOI:10.3389/fnbot.2014.00003 (Cited by 3, info. from Google scholar)

11. Dasgupta, S.; Wörgötter, F.; Manoonpong, P. (2013) Information Dynamics based Self- Adaptive Reservoir for Delay Temporal Memory Tasks. Evolving Systems, DOI: 10.1007/s12530-013-9080-y (Cited by 17, info. from Google scholar)

12. Manoonpong, P.; Parlitz, U.; Wörgötter, F. (2013) Neural Control and Adaptive Neural Forward Models for Insect-like, Energy-Efficient, and Adaptable Locomotion of Walking Machines, Frontiers in Neural Circuits, 7: 12, DOI: 10.3389/fncir.2013.00012 (Cited by 16, info. from Google scholar)

13. Steingrube, S.; Timme, M.; Wörgötter, F.; Manoonpong, P. (2010) Self-Organized Adaptation of Simple Neural Circuits Enables Complex Robot Behavior, Nature Physics 6, 224-230 (Cited by 87, info. from Google scholar)

14. Manoonpong, P.; Wörgötter, F. (2009) Efference Copies in Neural Control of Dynamic Biped Walking. Robotics and Autonomous Systems 57(11), 1140-1153 (Cited by 21, info. from Google scholar)

15. Manoonpong, P.; Geng, T.; Kulvicius, T.; Porr, B.; Wörgötter, F. (2007) Adaptive, Fast Walking in a Biped Robot under Neuronal Control and Learning, Public Library of Science Computational Biology (PLoS CB) 3(7), e134, doi:10.1371/journal.pcbi.0030134 (Cited by 87, info. from Google scholar)

Book:

1. Manoonpong, P. (2007) Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems (Cognitive Technologies) (Hardcover), Springer-Verlag (Cited by 20, info. from Google scholar)

承担项目


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