@article{leung2020authorc,

title = {Author Correction: Rules for the Leg Coordination of Dung Beetle Ball Rolling Behaviour},

author = {Binggwong Leung and Nienke Bijma and Emily Baird and Marie Dacke and Stanislav Gorb and Poramate Manoonpong},

year  = {2020},

date = {2020-01-01},

journal = {Scientific Reports},

volume = {10},

number = {1},

pages = {1--1},

publisher = {Nature Publishing Group},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{braun2020biologyc,

title = {Biology-Inspired Engineering and Engineering-Inspired Biology},

author = {Jan-Matthias Braun and Poramate Manoonpong and Xiaofeng Xiong},

year  = {2020},

date = {2020-01-01},

journal = {Frontiers in Neurorobotics},

volume = {14},

publisher = {Frontiers Media SA},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{khan2020icrawlc,

title = {iCrawl: An Inchworm-Inspired Crawling Robot},

author = {Muhammad Bilal Khan and Thirawat Chuthong and Cao Danh Do and Mathias Thor and Peter Billeschou and Jørgen Christian Larsen and Poramate Manoonpong},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Access},

volume = {8},

pages = {200655--200668},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhu2020genericc,

title = {Generic Mechanism for Waveform Regulation and Synchronization of Oscillators: An Application for Robot Behavior Diversity Generation},

author = {Yaguang Zhu and Liang Zhang and Poramate Manoonpong},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Transactions on Cybernetics},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xiong2020resistancec,

title = {Resistance-as-needed (RAN) control for a wearable and soft hand exoskeleton},

author = {X Xiong and P Manoonpong},

year  = {2020},

date = {2020-01-01},

journal = {Gait & Posture},

volume = {81},

pages = {398--399},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shaikh2019concurrent,

title = {Concurrent intramodal learning enhances multisensory responses of symmetric crossmodal learning in robotic audio-visual tracking},

author = {Danish Shaikh and Leon Bodenhagen and Poramate Manoonpong},

year  = {2019},

date = {2019-01-01},

journal = {Cognitive Systems Research},

volume = {54},

pages = {138--153},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shaikh2019neuroplasticity,

title = {A neuroplasticity-inspired neural circuit for acoustic navigation with obstacle avoidance that learns smooth motion paths},

author = {Danish Shaikh and Poramate Manoonpong},

year  = {2019},

date = {2019-01-01},

journal = {Neural Computing and Applications},

volume = {31},

number = {6},

pages = {1765--1781},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{thor2019fast,

title = {A fast online frequency adaptation mechanism for cpg-based robot motion control},

author = {Mathias Thor and Poramate Manoonpong},

year  = {2019},

date = {2019-01-01},

journal = {IEEE Robotics and Automation Letters},

volume = {4},

number = {4},

pages = {3324--3331},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{thor2019error,

title = {Error-Based Learning Mechanism for Fast Online Adaptation in Robot Motor Control},

author = {Mathias Thor and Poramate Manoonpong},

year  = {2019},

date = {2019-01-01},

journal = {IEEE Transactions on Neural Networks and Learning Systems},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rungruangsak2019neural,

title = {Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency},

author = {Krisna Rungruangsak-Torrissen and Poramate Manoonpong},

year  = {2019},

date = {2019-01-01},

journal = {Plos One},

volume = {14},

number = {8},

pages = {e0216030},

publisher = {Public Library of Science San Francisco, CA USA},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wang_2018,

title = {Lateral undulation of the flexible spine of sprawling posture vertebrates},

author = {Wei Wang and Aihong Ji and Poramate Manoonpong and Huan Shen and Jie Hu and Zhendong Dai and Zhiwei Yu},

url = {https://doi.org/10.1007%2Fs00359-018-1275-z},

doi = {10.1007/s00359-018-1275-z},

year  = {2018},

date = {2018-07-01},

journal = {Journal of Comparative Physiology A},

volume = {204},

number = {8},

pages = {707--719},

publisher = {Springer Science and Business Media LLC},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tramsen20170629,

title = {Inversion of friction anisotropy in a bio-inspired asymmetrically structured surface},

author = {Halvor T Tramsen and Stanislav N Gorb and Hao Zhang and Poramate Manoonpong and Zhendong Dai and Lars Heepe},

url = {http://rsif.royalsocietypublishing.org/content/15/138/20170629},

doi = {10.1098/rsif.2017.0629},

issn = {1742-5689},

year  = {2018},

date = {2018-01-01},

journal = {Journal of The Royal Society Interface},

volume = {15},

number = {138},

publisher = {The Royal Society},

abstract = {Friction anisotropy is an important property of many surfaces that usually facilitate the generation of motion in a preferred direction. Such surfaces are very common in biological systems and have been the templates for various bio-inspired materials with similar tribological properties. So far friction anisotropy is considered to be the result of an asymmetric arrangement of surface nano- and microstructures. However, here we show by using bio-inspired sawtooth-structured surfaces that the anisotropic friction properties are not only controlled by an asymmetric surface topography, but also by the ratio of the sample–substrate stiffness, the aspect ratio of surface structures, and by the substrate roughness. Systematically modifying these parameters, we were able to demonstrate a broad range of friction anisotropies, and for specific sample–substrate combinations even an inversion of the anisotropy. This result highlights the complex interrelation between the different material and topographical parameters on friction properties and sheds new light on the conventional design paradigm of tribological systems. Finally, this result is also of great importance for understanding functional principles of biological materials and surfaces, as such inversion of friction anisotropy may correlate with gait pattern and walking behaviour in climbing animals, which in turn may be used in robotic applications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shaikh2018concurrent,

title = {Concurrent Unimodal Learning Enhances Multisensory Responses of Bi-Directional Crossmodal Learning in Robotic Audio-Visual Tracking},

author = {Danish Shaikh and Leon Bodenhagen and Poramate Manoonpong},

year  = {2018},

date = {2018-01-01},

journal = {Cognitive Systems Research},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ambe2018simple,

title = {Simple analytical model reveals the functional role of embodied sensorimotor interaction in hexapod gaits},

author = {Yuichi Ambe and Shinya Aoi and Timo Nachstedt and Poramate Manoonpong and Florentin Worgotter and Fumitoshi Matsuno},

year  = {2018},

date = {2018-01-01},

journal = {PLoS ONE},

volume = {13},

number = {2},

pages = {e0192469--e0192469},

publisher = {Public Library of Science},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ji2018bio,

title = {A Bio-inspired Climbing Robot with Flexible Pads and Claws},

author = {Aihong Ji and Zhihui Zhao and Poramate Manoonpong and Wei Wang and Guangming Chen and others},

year  = {2018},

date = {2018-01-01},

journal = {Journal of Bionic Engineering},

volume = {15},

number = {2},

pages = {368--378},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{braun2018modular,

title = {Modular Neural Mechanisms for Gait Phase Tracking, Prediction, and Selection in Personalizable Knee-Ankle-Foot-Orthoses},

author = {Jan-Matthias Braun and Florentin Wörgötter and Poramate Manoonpong},

year  = {2018},

date = {2018-01-01},

journal = {Frontiers in Neurorobotics},

volume = {12},

pages = {37},

publisher = {Frontiers},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{manoonpong2018neural,

title = {Neural computation in embodied closed-loop systems for the generation of complex behavior: From biology to technology},

author = {Poramate Manoonpong and Christian Tetzlaff},

year  = {2018},

date = {2018-01-01},

journal = {Frontiers in neurorobotics},

volume = {12},

pages = {53},

publisher = {Frontiers},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{thor2018dung,

title = {A dung beetle-inspired robotic model and its distributed sensor-driven control for walking and ball rolling},

author = {Mathias Thor and Theis Strøm-Hansen and Leon Bonde Larsen and A Kovalev and SN Gorb and E Baird and P Manoonpong},

year  = {2018},

date = {2018-01-01},

journal = {Artificial Life and Robotics},

volume = {23},

number = {4},

pages = {435--443},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ignasov2018bio,

title = {Bio-inspired design and movement generation of dung beetle-like legs},

author = {Jevgeni Ignasov and Aditya Kapilavai and Konstantin Filonenko and Jørgen Christian Larsen and Emily Baird and John Hallam and Sebastian Büsse and Alexander Kovalev and Stanislav N Gorb and Lars Duggen and others},

year  = {2018},

date = {2018-01-01},

journal = {Artificial Life and Robotics},

volume = {23},

number = {4},

pages = {555--563},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{goldschmidt2017neurocomputational,

title = {A neurocomputational model of goal-directed navigation in insect-inspired artificial agents},

author = {Goldschmidt, Dennis and Manoonpong, Poramate and Dasgupta, Sakyasingha},

year  = {2017},

date = {2017-01-01},

journal = {Frontiers in Neurorobotics},

volume = {11},

publisher = {Frontiers Media SA},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shaikh2017adaptive,

title = {An adaptive neural mechanism for acoustic motion perception with varying sparsity},

author = {Shaikh, Danish and Manoonpong, Poramate},

year  = {2017},

date = {2017-01-01},

journal = {Frontiers in Neurorobotics},

volume = {11},

publisher = {Frontiers Media SA},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nachstedt2017fast,

title = {Fast Dynamical Coupling Enhances Frequency Adaptation of Oscillators for Robotic Locomotion Control},

author = {Nachstedt, Timo and Tetzlaff, Christian and Manoonpong, Poramate},

year  = {2017},

date = {2017-01-01},

journal = {Frontiers in Neurorobotics},

volume = {11},

publisher = {Frontiers Media SA},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shaikh2017predictive,

title = {Predictive Acoustic Tracking with an Adaptive Neural Mechanism},

author = {Shaikh, Danish and Manoonpong, Poramate},

year  = {2017},

date = {2017-01-01},

journal = {Procedia Computer Science},

volume = {105},

pages = {99--104},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{aoi2017adaptive,

title = {Adaptive control strategies for interlimb coordination in legged robots: A review},

author = {Aoi, Shinya and Manoonpong, Poramate and Ambe, Yuichi and Matsuno, Fumitoshi and W{ö}rg{ö}tter, Florentin},

year  = {2017},

date = {2017-01-01},

journal = {Frontiers in Neurorobotics},

volume = {11},

pages = {39},

publisher = {Frontiers},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{di2016robot,

title = {A Robot Leg with Compliant Tarsus and Its Neural Control for Efficient and Adaptive Locomotion on Complex Terrains},

author = {Di Canio, G and Stoyanov, S and Larsen, JC and Hallam, J and Kovalev, A and Kleinteich, T and Gorb, SN and Manoonpong, P},

year  = {2016},

date = {2016-01-01},

journal = {Artificial Life and Robotics},

pages = {274–-281},

publisher = {Springer Japan},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{manoonpong2016enhanced,

title = {Enhanced Locomotion Efficiency of a Bio-inspired Walking Robot using Contact Surfaces with Frictional Anisotropy},

author = {Manoonpong, Poramate and Petersen, Dennis and Kovalev, Alexander and W{"o}rg{"o}tter, Florentin and Gorb, Stanislav N and Spinner, Marlene and Heepe, Lars},

year  = {2016},

date = {2016-01-01},

journal = {Scientific Reports},

volume = {6},

publisher = {Nature Publishing Group},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xiong2016adaptive,

title = {Adaptive and energy efficient walking in a hexapod robot under neuromechanical control and sensorimotor learning},

author = {Xiong, Xiaofeng and W{ö}rg{ö}tter, Florentin and Manoonpong, Poramate},

year  = {2016},

date = {2016-01-01},

journal = {IEEE transactions on cybernetics},

volume = {46},

number = {11},

pages = {2521--2534},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.5772/61621,

title = {Learning and Chaining of Motor Primitives for Goal-directed Locomotion of a Snakelike Robot with Screw-drive Units},

author = {Sromona Chatterjee and Timo Nachstedt and Minija Tamosiunaite and Florentin Wörgötter and Yoshihide Enomoto and Ryo Ariizumi and Fumitoshi Matsuno and Poramate Manoonpong},

url = {http://www.intechopen.com/journals/international_journal_of_advanced_robotic_systems/learning-and-chaining-of-motor-primitives-for-goal-directed-locomotion-of-a-snakelike-robot-with-scr},

doi = {10.5772/61621},

year  = {2015},

date = {2015-12-15},

journal = {International Journal of Advanced Robotic Systems},

volume = {12},

number = {176},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/isci/RenCDKWM15,

title = {Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation},

author = {Guanjiao Ren and Weihai Chen and Sakyasingha Dasgupta and Christoph Kolodziejski and Florentin Wörgötter and Poramate Manoonpong},

url = {http://dx.doi.org/10.1016/j.ins.2014.05.001},

doi = {10.1016/j.ins.2014.05.001},

year  = {2015},

date = {2015-01-01},

journal = {Inf. Sci.},

volume = {294},

pages = {666--682},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3389/fnbot.2015.00010,

title = {Distributed Recurrent Neural Forward Models with Synaptic Adaptation and CPG-based control for Complex Behaviors of Walking Robots},

author = {Dasgupta, Sakyasingha and Goldschmidt, Dennis and Wörgötter, Florentin and Manoonpong, Poramate},

url = {http://www.frontiersin.org/neurorobotics/10.3389/fnbot.2015.00010/abstract},

doi = {10.3389/fnbot.2015.00010},

issn = {1662-5218},

year  = {2015},

date = {2015-01-01},

journal = {Frontiers in Neurorobotics},

volume = {9},

number = {10},

abstract = {Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of locomotive abilities and complex behaviors. The locomotive behaviors can consist of a variety of walking patterns along with adaptation that allow the animals to deal with changes in environmental conditions, like uneven terrains, gaps, obstacles etc. Biological study has revealed that such complex behaviors are a result of a combination of biomechanics and neural mechanism thus representing the true nature of embodied interactions. While the biomechanics helps maintain flexibility and sustain a variety of movements, the neural mechanisms generate movements while making appropriate predictions crucial for achieving adaptation. Such predictions or planning ahead can be achieved by way of internal models that are grounded in the overall behavior of the animal. Inspired by these findings, we present here, an artificial bio-inspired walking system which effectively combines biomechanics (in terms of the body and leg structures) with the underlying neural mechanisms. The neural mechanisms consist of 1) central pattern generator based control for generating basic rhythmic patterns and coordinated movements, 2) distributed (at each leg) recurrent neural network based adaptive forward models with efference copies as internal models for sensory predictions and instantaneous state estimations, and 3) searching and elevation control for adapting the movement of an individual leg to deal with different environmental conditions. Using simulations we show that this bio-inspired approach with adaptive internal models allows the walking robot to perform complex locomotive behaviors as observed in insects, including walking on undulated terrains, crossing large gaps as well as climbing over high obstacles. Furthermore we demonstrate that the newly developed recurrent network based approach to sensorimotor prediction outperforms the previous state of the art adaptive neuron forward models.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3389/fnbot.2015.00011,

title = {Synaptic plasticity in a recurrent neural network for versatile and adaptive behaviors of a walking robot},

author = {Grinke, Eduard and Tetzlaff, Christian and Wörgötter, Florentin and Manoonpong, Poramate},

url = {http://www.frontiersin.org/neurorobotics/10.3389/fnbot.2015.00011/abstract},

doi = {10.3389/fnbot.2015.00011},

issn = {1662-5218},

year  = {2015},

date = {2015-01-01},

journal = {Frontiers in Neurorobotics},

volume = {9},

number = {11},

abstract = {Walking animals, like insects, with little neural computing can effectively perform complex behaviors. They can walk around their environment, escape from corners/deadlocks, and avoid or climb over obstacles. While performing all these behaviors, they can also adapt their movements to deal with an unknown situation. As a consequence, they successfully navigate through their complex environment. The versatile and adaptive abilities are the result of an integration of several ingredients embedded in their sensorimotor loop. Biological studies reveal that the ingredients include neural dynamics, plasticity, sensory feedback, and biomechanics. Generating such versatile and adaptive behaviors for a walking robot is a challenging task. In this study, we present a bio-inspired approach to solve this task. Specifically, the approach combines neural mechanisms with plasticity, sensory feedback, and biomechanics. The neural mechanisms consist of adaptive neural sensory processing and modular neural locomotion control. The sensory processing is based on a small recurrent network consisting of two fully connected neurons. Online correlation-based learning with synaptic scaling is applied to adequately change the connections of the network. By doing so, we can effectively exploit neural dynamics (i.e., hysteresis effects and single attractors) in the network to generate different turning angles with short-term memory for a biomechanical walking robot. The turning information is transmitted as descending steering signals to the locomotion control which translates the signals into motor actions. As a result, the robot can walk around and adapt its turning angle for avoiding obstacles in different situations as well as escaping from sharp corners or deadlocks. Using backbone joint control embedded in the locomotion control allows the robot to climb over small obstacles. Consequently, it can successfully explore and navigate in complex environments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/finr/GoldschmidtWM14,

title = {Biologically-inspired adaptive obstacle negotiation behavior of hexapod robots},

author = {Dennis Goldschmidt and Florentin Wörgötter and Poramate Manoonpong},

url = {http://dx.doi.org/10.3389/fnbot.2014.00003},

doi = {10.3389/fnbot.2014.00003},

year  = {2014},

date = {2014-01-01},

journal = {Front. Neurorobot.},

volume = {2014},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/ras/XiongWM14,

title = {Neuromechanical control for hexapedal robot walking on challenging surfaces and surface classification},

author = {Xiaofeng Xiong and Florentin Wörgötter and Poramate Manoonpong},

url = {http://dx.doi.org/10.1016/j.robot.2014.07.008},

doi = {10.1016/j.robot.2014.07.008},

year  = {2014},

date = {2014-01-01},

journal = {Robotics and Autonomous Systems},

volume = {62},

number = {12},

pages = {1777--1789},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/irob/XiongWM14,

title = {Virtual agonist-antagonist mechanisms produce biological muscle-like functions: An application for robot joint control},

author = {Xiaofeng Xiong and Florentin Wörgötter and Poramate Manoonpong},

url = {http://dx.doi.org/10.1108/IR-11-2013-421},

doi = {10.1108/IR-11-2013-421},

year  = {2014},

date = {2014-01-01},

journal = {Industrial Robot},

volume = {41},

number = {4},

pages = {340--346},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3389/fncir.2014.00126,

title = {Neuromodulatory Adaptive Combination of Correlation-based Learning in Cerebellum and Reward-based Learning in Basal Ganglia for Goal-directed Behavior Control},

author = {Dasgupta, Sakyasingha and Wörgötter, Florentin and Manoonpong, Poramate},

url = {http://www.frontiersin.org/neural_circuits/10.3389/fncir.2014.00126/abstract},

doi = {10.3389/fncir.2014.00126},

issn = {1662-5110},

year  = {2014},

date = {2014-01-01},

journal = {Frontiers in Neural Circuits},

volume = {8},

number = {126},

abstract = {Goal-directed decision making in biological systems is broadly based on associations between conditional and unconditional stimuli. This can be further classified as classical conditioning (correlation-based learning) and operant conditioning (reward-based learning). A number of computational and experimental studies have well established the role of the basal ganglia in reward-based learning, where as the cerebellum plays an important role in developing specific conditioned responses. Although viewed as distinct learning systems, recent animal experiments point toward their complementary role in behavioral learning, and also show the existence of substantial two-way communication between these two brain structures. Based on this notion of co-operative learning, in this paper we hypothesize that the basal ganglia and cerebellar learning systems work in parallel and interact with each other. We envision that such an interaction is influenced by reward modulated heterosynaptic plasticity (RMHP) rule at the thalamus, guiding the overall goal directed behavior. Using a recurrent neural network actor-critic model of the basal ganglia and a feed-forward correlation-based learning model of the cerebellum, we demonstrate that the RMHP rule can effectively balance the outcomes of the two learning systems. This is tested using simulated environments of increasing complexity with a four-wheeled robot in a foraging task in both static and dynamic configurations. Although modeled with a simplified level of biological abstraction, we clearly demonstrate that such a RMHP induced combinatorial learning mechanism, leads to stabler and faster learning of goal-directed behaviors, in comparison to the individual systems. Thus, in this paper we provide a computational model for adaptive combination of the basal ganglia and cerebellum learning systems by way of neuromodulated plasticity for goal-directed decision making in biological and bio-mimetic organisms.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{christensen2013distributed,

title = {A distributed and morphology-independent strategy for adaptive locomotion in self-reconfigurable modular robots},

author = {Christensen, David Johan and Schultz, Ulrik Pagh and Stoy, Kasper},

year  = {2013},

date = {2013-01-01},

journal = {Robotics and Autonomous Systems},

volume = {61},

number = {9},

pages = {1021--1035},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{larsen2010increased,

title = {Increased versatility of modular robots through layered heterogeneity},

author = {Larsen, Jørgen Christian and Støy, Kasper and Garcia, Ricardo Franco Mendoza},

year  = {2010},

date = {2010-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}