2023
Charakorn, R., Manoonpong, P., Dilokthanakul, N. (2023) Generating Diverse Cooperative Agents by Learning Incompatible Policies, The Eleventh International Conference on Learning Representations (ICLR 2023).
Dong, Y., Duan, J., Liu, Y., Dai, Z., Manoonpong, P. (2023) Robotic Shoe Packaging Strategies Based on a Single Soft-Gripper System and Extrinsic Resources, The IEEE International Conference on Advanced Robotics and Mechatronics (ICARM).
Asawalertsak, N., Nantareekurn, W., Manoonpong, P. (2023) A small soft-bodied crawling robot with electromagnetic legs and neural control for locomotion on various metal terrains, the 6th IEEE-RAS International Conference on Soft Robotics (RoboSoft 2023).
2022
Mingchinda, N., Jaiton, V., Leung, B., Manoonpong, P. (2022). Neural Body Bending Control with Temporal Delays for Millipede-Like Turning Behaviour of a Multi-segmented, Legged Robot. From Animals to Animats 16. SAB 2022. Lecture Notes in Computer Science, vol 13499, pp. 52-63. Springer, Cham, DOI: 10.1007/978-3-031-16770-6_5
Asawalertsak, N.; Gorb, S.N.; Kovalev, A.; Jørgensen, J. and Manoonpong, P. (2022) Exploiting friction anisotropy for soft robot locomotion, the 25th issue of the International Conference Series on Climbing and Walking Robots and the Support Technologies for Mobile Machines, pp. 75-79, DOI: 10.1007/978-3-031-15226-9_10
Charakorn, R., Manoonpong, P., Dilokthanakul, N., (2022) Generating Diverse Cooperative Agents by Learning Incompatible Policies, In: ICML 2022 Workshop AI for Agent-Based Modelling. 2022 (AI4ABM workshop) (Link)
B. Larsen, P. Manoonpong and J. Jørgensen (2022), “WISARD: Weight Informing Soft Artificial Robotic Dermis,” 2022 IEEE 5th International Conference on Soft Robotics (RoboSoft), 2022, pp. 1-8, DOI: 10.1109/RoboSoft54090.2022.9762174
Khan, M.B., Khan, M.U.F., Manoonpong, P. (2022). Tactile Sensing of the Rigid-Soft Electromagnetic Feet of the iCrawl Robot for Pipe Size Classification. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2022. Lecture Notes in Networks and Systems, vol 543, p. 68-83. Springer, Cham, DOI: 10.1007/978-3-031-16078-3_4
2021
Haomachai, W., Ngamkajornwiwat, P., Ji, A., Dai, Z., and Manoonpong, P. (2021) A Sprawling Posture Robot with a Flexible Spine for Efficient Locomotion in Various Gravity Environments from Earth, to Mars, and the Moon, International Conference 2021 session Aerospace Engineering, MDPI in Innovation Aviation & Aerospace Industry, DOI: 10.3390/IAAI-2021-10585
S. Phodapol, T. Suthisomboon, P. Kosanunt, and P. Manoonpong (2021) Morphological Adaptation for Speed Control of Pipeline Inspection Gauges (MC-PIG), the Abu Dhabi International Petroleum Exhibition and Conference (ADIPEC), DOI: 10.2118/207403-MS
Billeschou P., Do C.D., Larsen J.C., and Manoonpong P. (2021) A Compliant Leg Structure for Terrestrial and Aquatic Walking Robots. In: Chugo D., Tokhi M.O., Silva M.F., Nakamura T., Goher K. (eds) Robotics for Sustainable Future. CLAWAR 2021. Lecture Notes in Networks and Systems, vol 324. Springer, Cham, DOI: 10.1007/978-3-030-86294-7_7
Leung, B.; Bijma, Nienke; Baird, E.; Dacke, M.; Gorb, S.; Manoonpong, P. (2021) Gait Adaptation of a Dung Beetle Rolling a Ball up a Slope. Proceedings of The 9.5th International Symposium on Adaptive Motion of Animals and Machines (AMAM2021), DOI: 10.18910/84844
Jaiton, V., and Manoonpong, P. (2021) Chaotic Neural Oscillator for Navigation and Exploration of Autonomous Drones. Proceedings of The 9.5th International Symposium on Adaptive Motion of Animals and Machines (AMAM2021), June 22-25 – Virtual Platform, DOI: 10.18910/84868
Billeschou, P., Larsen, J.C., and Manoonpong, P. (2021) Three-Axis Power Synthesising Transmission for Walking Robots. Proceedings of The 9.5th International Symposium on Adaptive Motion of Animals and Machines (AMAM2021), June 22-25 – Virtual Platform, DOI: 10.18910/84853
X. Xiong and P. Manoonpong (2021), A Variable Soft Finger Exoskeleton for Quantifying Fatigue-induced Mechanical Impedance, 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 10347-10352, DOI: 10.1109/ICRA48506.2021.9562118
Suthisomboon, T., Rukpanich, T., Asawalertsak, N., Borijindakul, P., Ji, A., Dai, Z., and Manoonpong, P. (2021) VENOM: Versatile, Adhesive, and Soft Material for Various Surface Adhesion, IEEE 4th International Conference on Soft Robotics (RoboSoft), pp. 543-546, DOI: 10.1109/RoboSoft51838.2021.9479242
Rothomphiwat, K., Harnkhamen, A., Tothong, T., Suthisomboon, T., Dilokthanakul, N., and Manoonpong, P. (2021) Advanced Collaborative Robots for the Factory of the Future, In the 2021 IEEE/SICE International Symposium on System Integration (SII 2021), pp 578-579, DOI: 10.1109/IEEECONF49454.2021.9382664
Charakorn, R., Manoonpong, P., Dilokthanakul, N. (2021) Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning, 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, accepted as extended abstract (Link)
2020
Zhu, Y., Zhang, L., Manoonpong, P. (2020) Virtual Motoneuron Activation for Goal-directed Locomotion of a Hexapod Robot, 2020 IEEE International Conference on Advanced Robotics and Mechatronics (ARM), DOI: 10.1109/ICARM49381.2020.9195387
Huerta, C. V.; Xiong, X.; Billeschou, P.; Manoonpong, P. (2020) Adaptive Neuromechanical Control for Robust Behaviors of Bio-inspired Walking Robots, In the 27th International Conference on Neural Information Processing, DOI: 10.1007/978-3-030-63833-7_65
Jeppesen, M. H., Jorgensen, J., Manoonpong, P. (2020) Adaptive neural CPG-based control for a soft robotic tentacle, In the 27th International Conference on Neural Information Processing, DOI: 10.1007/978-3-030-63833-7_64
Degroote, F., Thor, M., Ignasov, J., Larsen, J.C., Motoasca, E., Manoonpong, P. (2020) Adaptive neural control for efficient rhythmic movement generation and online frequency adaptation of a compliant robot arm, In the 27th International Conference on Neural Information Processing, DOI: 10.1007/978-3-030-63823-8_79
Chuthong, T., Leung, B., Tiraborisute, K., Ngamkajornwiwat, P., Manoonpong, P., Dilokthanakul, N. (2020) Dynamical State Forcing on Central Pattern Generators for Efficient Robot Locomotion Control, In the 27th International Conference on Neural Information Processing, DOI: 10.1007/978-3-030-63833-7_67
Charakorn, R., Manoonpong, P., Dilokthanakul, N. (2020) Investigating Partner Diversification Methods in Cooperative Multi-Agent Deep Reinforcement Learning, In the 27th International Conference on Neural Information Processing, DOI: 10.1007/978-3-030-63823-8_46
2019
J. Homchanthanakul, P. Ngamkajornwiwat, P. Teerakittikul and P. Manoonpong, “Neural Control with an Artificial Hormone System for Energy-Efficient Compliant Terrain Locomotion and Adaptation of Walking Robots,” 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 5475-5482, DOI: 10.1109/IROS40897.2019.8968580 (pdf)
S. Natnithikarat, S. Lamyai, P. Leelaarporn, N. Kunaseth, P. Autthasan, T. Wisutthisen and T. Wilaiprasitporn* “Drowsiness Detection for Office-based Workload with Mouse and Keyboard Data,” 2019 11th BiomedicalEngineering International Conference (BMEiCON), Ubon Ratchathani, 2019, pp. 1-4, DOI: 10.1109/BMEiCON47515.2019.8990236
Pitchai, M., Xiong, X., Thor, M., Billeschou, P., Lukas Mailander, P., Leung, B., Kulvicius, T., Manoonpong, P. CPG driven RBF Network Control with Reinforcement Learning for Gait Optimization of a Dung Beetle-like Robot, The International Conference on Artificial Neural Networks (ICANN), Lecture Notes in Computer Science, DOI: 10.1007/978-3-030-30487-4_53
Bijma N.N., Manoonpong P., Gorb S.N. (2019) Unterschiedliche Spezialisierung der Mistkäferextremitäten zum Laufen. Bionik: Patente aus der Natur: 136-141,ISBN 978-3-00-061443-9
Tramsen H.T., Manoonpong P., Gorb S.N., Heepe L. (2019) Effiziente Fortbewegung durch Reibungsanisotropien – Einfluss von Matrialelastizität, Oberflächengeometrie und Substratrauhigkeit. Bionik: Patente aus der Natur: 143-153, ISBN 978-3-00-061443-9
Khan, M.B.; Danh Do, C.; Larsen, J.C.; Manoonpong, P. (2019) An Ant-Inspired Control Strategy for Active Sensing of a Crawling Robot in a Cluttered Environment. Proceedings of The 9th International Symposium on Adaptive Motion of Animals and Machines (AMAM2019), EPFL, Lausanne, August 20th–23rd, 2019, DOI: 10.5075/epfl-BIOROB-AMAM2019-72
Leung, B.; Billeschou, P.; Thor, M.; Manoonpong, P. (2019) Modular Neural Control for Dung Beetle-like Leg Movements of a Dung Beetle-like Robot. Proceedings of The 9th International Symposium on Adaptive Motion of Animals and Machines (AMAM2019), EPFL, Lausanne, August 20th–23rd, 2019, DOI: 10.5075/epfl-BIOROB-AMAM2019-12 (pdf)
2018
Lily R Wong, Yukiyo Kuriyagawa, Nikhil Gowda, Patrick Cravalho, Theerawit Wilaiprasitporn, Javier Garcia, Erin E Flynn-Evans, 0193 Sleepiness and Slow Rolling Eye Movements are Increased During Autonomous Versus Manual Driving, Sleep, Volume 42, Issue Supplement_1, April 2019, Page A79, DOI: 10.1093/sleep/zsz067.192
Juel, W.K.; Haarslev, F.; Fischer, K.; Marchetti, E.; Shaikh, D.; Manoonpong, P.; Hauch, C.; Bodenhagen, L.; Krüger, N.(2018) The SMOOTH Robot: Design for a Novel Modular Welfare Robot. ICRA2018 Workshop on Elderly Care Robotics–Technology and Ethics, DOI: 10.1007/s10846-019-01104-z
W. Ausawalaithong, A. Thirach, S. Marukatat and T. Wilaiprasitporn, “Automatic Lung Cancer Prediction from Chest X-ray Images Using the Deep Learning Approach,” 2018 11th Biomedical Engineering International Conference (BMEiCON), Chiang Mai, 2018, pp. 1-5, DOI: 10.1109/BMEiCON.2018.8609997
N. Banluesombatkul, T. Rakthanmanon and T. Wilaiprasitporn, “Single Channel ECG for Obstructive Sleep Apnea Severity Detection Using a Deep Learning Approach,” TENCON 2018 – 2018 IEEE Region 10 Conference, Jeju, Korea (South), 2018, pp. 2011-2016, DOI: 10.1109/TENCON.2018.8650429
P. Lakhan, A. Ditthapron, N. Banluesombatkul and T. Wilaiprasitporn, “Deep Neural Networks with Weighted Averaged Overnight Airflow Features for Sleep Apnea-Hypopnea Severity Classification,” TENCON 2018 – 2018 IEEE Region 10 Conference, Jeju, Korea (South), 2018, pp. 0441-0445, DOI: 10.1109/TENCON.2018.8650491
P. Cheng, P. Autthasan, B. Pijarana, E. Chuangsuwanich and T. Wilaiprasitporn, “Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning,” TENCON 2018 – 2018 IEEE Region 10 Conference, Jeju, Korea (South), 2018, pp. 1994-1998, DOI: 10.1109/TENCON.2018.8650546
Leung, B.; Thor, M.; Manoonpong, P. (2018) Modular Neural Control for Bio-Inspired Walking and Ball Rolling of a Dung Beetle-Like Robot. The 2018 Conference on Artificial Life: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE) 2018, July 23-27, Tokyo, Japan:, 335-342, DOI: 10.1162/isal_a_00064 (pdf)
Haarslev, F.; Docherty, D.; Suvei, S.D.; Juel, W.K.; Bodenhagen, L.; Shaikh, D.; Krueger, N.; Manoonpong, P. (2018) Towards Crossmodal Learning for Smooth Multimodal Attention Orientation, The Proceedings of the 10th International Conference on Social Robotics (ICSR 2018), Lecture Notes in Computer Science, vol 11357. Springer, Cham, pp. 318–328, DOI: 10.1007/978-3-030-05204-1_31
Gorjup, G., Vrabic, R., Stoyanov, S., Andersen, M. Ø. & Manoonpong, P (2018) Development of a real-time motor-imagery-based EEG brain-machine interface. The 25th International Conference on Neural Information Processing (ICONIP2018), Lecture Notes in Computer Science, DOI: 10.1007/978-3-030-04239-4_55 (pdf)
Pedersen C.K., Manoonpong P. (2018) Neural Control and Synaptic Plasticity for Adaptive Obstacle Avoidance of Autonomous Drones. From Animals to Animats 15. SAB 2018. Lecture Notes in Computer Science, vol 10994. Springer, pp 177-188, DOI: 10.1007/978-3-319-97628-0_15 (pdf)
2017
Thor, M.; Strøm-Hansen, T.; Larsen, L.B.; Kovalev, A.; Gorb, S.N.; Manoonpong, P. (2017) Advantages of using a biologically plausible embodied kinematic model for enhancement of speed and multifunctionality of a walking robot. SWARM 2017: The Second International Symposium on Swarm Behavior and Bio-Inspired Robotics, October 29–November 1, Kyoto, Japan, (Best student paper award) (pdf)