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With the fast and unstoppable evolution of robotics and artificial intelligence, effective autonomous navigation in real-world scenarios has become one of the most pressing challenges in the literature. However, demanding requirements, such…

机器人学 · 计算机科学 2024-07-11 A. Novo , F. Lobon , H. G. De Marina , S. Romero , F. Barranco

Living systems process sensory data to facilitate adaptive behaviour. A given sensor can be stimulated as the result of internally driven activity, or by purely external (environmental) sources. It is clear that these inputs are processed…

神经与进化计算 · 计算机科学 2022-05-16 James Garner , Matthew Egbert

Animals possess a remarkable ability to navigate challenging terrains, achieved through the interplay of various pathways between the brain, central pattern generators (CPGs) in the spinal cord, and musculoskeletal system. Traditional…

机器人学 · 计算机科学 2024-04-30 Ge Sun , Milad Shafiee , Peizhuo Li , Guillaume Bellegarda , Auke Ijspeert , Guillaume Sartoretti

This paper presents a bio-inspired central pattern generator (CPG)-type architecture for learning optimal maneuvering control of periodic locomotory gaits. The architecture is presented here with the aid of a snake robot model problem…

系统与控制 · 电气工程与系统科学 2019-10-08 Tixian Wang , Amirhossein Taghvaei , Prashant G. Mehta

We have previously shown how to socially integrate a fish robot into a group of zebrafish thanks to biomimetic behavioural models. The models have to be calibrated on experimental data to present correct behavioural features. This…

神经与进化计算 · 计算机科学 2019-02-12 Leo Cazenille , Yohann Chemtob , Frank Bonnet , Alexey Gribovskiy , Francesco Mondada , Nicolas Bredeche , Jose Halloy

In this paper we explore the use of electrical biosignals measured on scalp and corresponding to mental relaxation and concentration tasks in order to control an object in a video game. To evaluate the requirements of such a system in terms…

其他计算机科学 · 计算机科学 2011-11-23 Laurent George , Fabien Lotte , Raquel Viciana Abad , Anatole Lécuyer

In this article, we study optimal control problems of spiking neurons whose dynamics are described by a phase model. We design minimum-power current stimuli (controls) that lead to targeted spiking times of neurons, where the cases with…

动力系统 · 数学 2010-11-18 Isuru Dasanayake , Jr-Shin Li

Thanks to novel, powerful brain activity recording techniques, we can create data-driven models from thousands of recording channels and large portions of the cortex, which can improve our understanding of brain-states neuromodulation and…

Advances in legged robotics are strongly rooted in animal observations. A clear illustration of this claim is the generalization of Central Pattern Generators (CPG), first identified in the cat spinal cord, to generate cyclic motion in…

机器人学 · 计算机科学 2020-03-23 Gabriel Urbain , Victor Barasuol , Claudio Semini , Joni Dambre , Francis wyffels

Through natural evolution, nervous systems of organisms formed near-optimal structures to express behavior. Here, we propose an effective way to create control agents, by \textit{re-purposing} the function of biological neural circuit…

神经与进化计算 · 计算机科学 2017-11-10 Mathias Lechner , Radu Grosu , Ramin M. Hasani

Many different robots have been designed and built to work under water. In many cases, researchers have chosen to use bio-inspired platforms. In most cases, the main goal of the fish inspired robots has been set to autonomously swim and…

机器人学 · 计算机科学 2018-08-29 Mohammad Sharifzadeh , Roozbeh Khodambashi , Wenlong Zhang , Daniel Aukes

We successfully evolved a neural network controller that produces dynamic walking in a simulated bipedal robot with compliant actuators, a difficult control problem. The evolutionary evaluation uses a detailed software simulation of a…

神经与进化计算 · 计算机科学 2009-07-13 Michael E. Palmer , Daniel B. Miller

C. elegans is the only animal for which a detailed neural connectivity diagram has been constructed. However, synaptic polarities in this diagram, and thus, circuit functions are largely unknown. Here, we deciphered the likely polarities of…

神经元与认知 · 定量生物学 2014-03-21 Franciszek Rakowski , Jagan Srinivasan , Paul W. Sternberg , Jan Karbowski

The origins of spontaneous movements have been investigated in human as well as in other vertebrates. Studies have reported an increase in neuronal activity one second before the onset of a given movement: this is known as readiness…

神经元与认知 · 定量生物学 2020-12-22 Selma Mehyaoui

In recent years, locomotion mechanisms exhibited by vertebrate animals have been the inspiration for the improvement in the performance of robotic systems. These mechanisms include the adaptability of their locomotion to any change…

Limbless locomotors, from microscopic worms to macroscopic snakes, traverse complex, heterogeneous natural environments typically using undulatory body wave propagation. Theoretical and robophysical models typically emphasize body…

机器人学 · 计算机科学 2024-02-02 Tianyu Wang , Christopher Pierce , Velin Kojouharov , Baxi Chong , Kelimar Diaz , Hang Lu , Daniel I. Goldman

We show that dynamical gain modulation of neurons' stimulus response is described as an information-theoretic cycle that generates entropy associated with the stimulus-related activity from entropy produced by the modulation. To articulate…

神经元与认知 · 定量生物学 2017-12-29 Hideaki Shimazaki

The cerebrospinal fluid (CSF) constitutes an interface through which chemical cues can reach and modulate the activity of neurons located at the epithelial boundary within the entire nervous system. Here, we investigate the role and…

Locomotion may be induced on three levels. On a classical level, actuators and limbs follow the sequence of open-loop top-down control signals they receive. Limbs may move alternatively on their own, which implies that interlimb…

适应与自组织系统 · 物理学 2024-09-23 Bulcsú Sándor , Claudius Gros

Biological studies reveal that neural circuits located at the spinal cord called central pattern generator (CPG) oscillates and generates rhythmic signals, which are the underlying mechanism responsible for rhythmic locomotion behaviors of…

机器人学 · 计算机科学 2023-05-15 Chuanyu Yang , Can Pu , Tianqi Wei , Cong Wang , Zhibin Li