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The first biologically inspired robots
Robotica, 2003Thie first biologically inspired robots, the famous electromechanical tortoises, were designed and built in 1949 by W. Grey Walter. This paper reviews their origins in Walter's theories of the brain and the nature of life, and uses contemporary unpublished notes and photographs to assess their significance then and now.
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ANIBOT: Biologically-Inspired Animal Robot
2017We present the first (to the best of our knowledge) circuit realization of an animal (quadruped) robot controlled by a Central Pattern Generator (CPG) network of neurons, whose model and design are biologically-inspired by the work of Golubitsky et al. (Physica D 115:56–72 (1998)), [148], (J Math Biol 42: 291–326 (2001)), [61], (J Math Biol 42:327–346 (
Visarath In, Antonio Palacios
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Biological inspiration used for robots motion synthesis
Journal of Physiology-Paris, 2009This work presents a biologically inspired method of gait generation. Bipedal gait pattern (for hip and knee joints) was taken into account giving the reference trajectories in a learning task. The four coupled oscillators were taught to generate the outputs similar to those in a human gait.
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Biologically Inspired Intelligent Robots using Artificial Muscles
Strain, 2004Humans throughout history have always sought to mimic the appearance, mobility, functionality, intelligent operation, and thinking process of biological creatures. This field of biologically inspired technology, having the moniker biomimetics, has evolved from making static copies of human and animals in the form of statues to the emergence of robots ...
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The deformatron robot: a biologically inspired homogeneous modular robot
Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., 2006The Deformatron robot is a homogeneous, modular robot. The Deformatron modules can play one of three roles in the physical structure of the robot: bone, tendon, and muscle. These roles are inspired by their biological counterparts. This combination of roles gives us a modular robot which potentially may have enough structural strength and actuation ...
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Biologically-Inspired Visual Landmark Learning for Mobile Robots
2000This paper presents a biologically-inspired method for selecting visual landmarks which are suitable for navigating within not pre-engineered environments. A landmark is a region of the goal image which is chosen according to its reliability measured through a phase called Turn Back and Look (TBL).
BIANCO, Giovanni, Riccardo Cassinis
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Biologically Inspired Robot Behavior Engineering
20031. Evolutionary approaches to neural control of rolling, walking, swimming and flying animats or robots.- 2. Behavior coordination and its modification on monkey-type mobile robot.- 3. Visuomotor control in flies and behavior-based agents.- 4. Using evolutionary methods to parameterize neural models: a study of the lamprey central pattern generator.- 5.
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A Biologically-Inspired Autonomous Robot
1993Abstract : A treadmill has been developed to support our cockroach locomotion studies. We have developed a small treadmill with a transparent belt for studying leg joint movements along with EMGs as the animal walks or runs at various speeds. This allows us to match the electrical activity in muscles with the kinematics of joint movement.
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Biologically Inspired Robot Control Architecture
2011Robot control architectures are related to sensing, monitoring, and acting actions of the robots. They are an important part of each robot control and the coordination of their behaviors. There are different kinds of robotic architectures implemented by different kinds of robots.
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Biologically inspired mobile robot vision localization
2015The problem of localization is central to endowing mobile machines with intelligence. Vision is a promising research path because of its versatility and robustness in most unconstrained environments, both indoors and outdoors. Today, with many available studies in human vision, there is a unique opportunity to develop systems that take inspiration from
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