Download Neural Preprocessing and Control of Reactive Walking by Poramate Manoonpong PDF

By Poramate Manoonpong

This ebook offers biologically encouraged jogging machines interacting with their actual surroundings. It describes how the designs of the morphology and the habit keep an eye on of strolling machines can take advantage of organic stories. the aim of this booklet is to increase a modular constitution of neural keep an eye on producing diverse reactive behaviors of the actual strolling machines, to investigate the neural mechanisms underlying the reactive behaviors, and to illustrate the sensor fusion procedure resulting in tender switching among applicable behaviors, like concern avoidance and sound tropism.

The writer bargains an instance of man-made perception-action platforms and emphasizes the shut dating among organic experiences, computational neuroscience and engineering. The ebook should be of curiosity to researchers, engineers and scholars within the fields of robotics, biologically encouraged mechatronics, electronics engineering, keep an eye on, and synthetic intelligence.

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Extra info for Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems

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Motors), is defined as the “output neurons”. Sets of neurons that have similar characteristics and are connected to other neurons in similar ways are called “layers” or “slabs”. Concerning connection topologies that define the direction of data flows between the input, hidden and output neurons, these can be classified into two different types of network architectures, so-called feedforward network and recurrent network. A feedforward network has a layered structure. Each layer consists of neurons which receive their input from neurons in a layer directly below and send their output to neurons in a layer directly above.

In other words, biologically inspired walking machines are the robot platforms for the approach of this work. Such machines are more attractive because they can behave somewhat like animals and they are still a challenge for locomotion control. Two walking animals were observed to benefit the leg and trunk designs of four- and six-legged walking machines (physical agents). The inspiration for the structure of a four-legged walking machine came from the biological principles that a salamander uses to obtain an efficient walking pattern [34, 165], while the design of the legs and the trunk of a six-legged walking machine follows the way that a cockroach walks and climbs [163, 216].

The hair is used to perform a surprising variety of tasks (Fig. 6, right). For example, tactile-sensitive hairs on the legs help the spider to move freely around its terrain [186, 187]. There are also airflow-sensitive hairs which are important for detecting its prey [16, 17]. Furthermore, the hairs on the pedipalps are used as chemoreceptors which are sensitive to taste and odor [60, 61] and also associated with mate recognition [76, 147]. From concise investigation on sensing systems of spiders, several attractive functions of the hairs have been mentioned.

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