The Experts below are selected from a list of 786 Experts worldwide ranked by ideXlab platform

Southwestern Oklahoma State University - One of the best experts on this subject based on the ideXlab platform.

George Lansing - One of the best experts on this subject based on the ideXlab platform.

  • Fort Place - St Joseph and Iola Railroad Marker F-107 (New), Wewahitchka, FL
    UNF Digital Commons, 2019
    Co-Authors: George Lansing
    Abstract:

    The marker reads: FORT PLACE-ST. JOSEPH & IOLA RAILROAD Fort Place, forerunner of Wewahitchka, located one-quarter mile East was constructed in the early 1830\u27s as a refuge from hostile Indians. It consisted of a hewn log blockhouse equipped with portholes for firearms, and was enclosed within a two acre stockade. No remains of Fort Place are visible today. The St. Joseph, and Iola Railroad, completed in 1839 was the third railroad to use Steam Locomotives in Florida, and was the longest in Territorial Florida. F-107 FLORIDA BOARD OF PARKS AND HISTORIC MEMORIALS IN COOPERATION WITH GULF COUNTY HISTORICAL COMMISSION 1963 Top of the sign: Image of the Great Seal of the State of Florida – In God We Trusthttps://digitalcommons.unf.edu/historical_architecture_main/8398/thumbnail.jp

  • ACL Passenger Depot , High Springs FL
    UNF Digital Commons, 2009
    Co-Authors: George Lansing
    Abstract:

    ACL Passenger Depot , High Springs FL This old passenger depot, built c. 1910, is all that remains of the vast railroad complex located southwest of downtown that made High Springs a bustling railroad center for nearly 50 years. Rail yards, workshops, and a roundhouse serviced hundreds of Steam engines and cars sent to High Springs to be cleaned and repaired. The importance of High Springs as a rail center declined as diesel engines replaced the old Steam Locomotives after World War II. Gradually, all of the railroad buildings disappeared, except the depot which was moved to this site and renovated as a railroad museum in 1994 . Contributing Building - High Springs Historic District - National Register of Historic Places NRIS #91001540https://digitalcommons.unf.edu/historical_architecture_main/6154/thumbnail.jp

  • ACL Depot Marker, High Springs, FL
    UNF Digital Commons, 2009
    Co-Authors: George Lansing
    Abstract:

    ACL Depot Marker (Railroading in High Springs), High Springs, FL. This was erected in 1995 by the Florida Department of State, located on 20 NW Railroad Avenue in High Springs, Florida, where the ACL Depot was built. The marker reads as : This old passenger depot, built c. 1910, is all that remains of the vast railroad complex located southwest of downtown that made High Springs a bustling railroad center for nearly 50 years. In 1895 the Plant Railroad System chose the town as the site of its divisional headquarters. Rail yards, workshops, and a roundhouse serviced hundreds of Steam engines and cars sent to High Springs to be cleaned and repaired. The importance of High Springs as a rail center declined as diesel engines replaced the old Steam Locomotives after World War II. Gradually, all of the railroad buildings disappeared, except the depot which was moved to this site and renovated as a railroad museum in 1994. Sponsored by the Florida Department of State 1995 .https://digitalcommons.unf.edu/historical_architecture_main/3934/thumbnail.jp

Claudius Gros - One of the best experts on this subject based on the ideXlab platform.

  • Autonomous direction reversal of an embodied wheeled robot
    2019
    Co-Authors: Claudius Gros, Bulcsú Sándor
    Abstract:

    Self-organized robots may develop attracting states within the sensorimotor loop, that is within the phase space of neural activity, body, and environmental variables. Fixpoints, limit cycles, and chaotic attractors correspond in this setting to a non-moving robot, to directed, and to irregular locomotion respectively. Short higher-order control commands may hence be used to kick the system from one self-organized attractor robustly into the basin of attraction of a different attractor, a concept termed here as kick control. The individual sensorimotor states serve in this context as highly compliant motor primitives. We study different implementations of kick control for the case of simulated and real-world wheeled robots, for which the dynamics of the distinct wheels is generated independently by local feedback loops. The feedback loops are mediated by rate-encoding neurons disposing exclusively of propriosensoric inputs in terms of projections of the actual rotational angle of the wheel. The changes of the neural activity are then transmitted into a rotational motion by a simulated transmission rod akin to the transmission rods used for Steam Locomotives. We find that the self-organized attractor landscape may be morphed both by higher-level control signals, in the spirit of kick control, and by interacting with the environment. Bumping against a wall destroys the limit cycle corresponding to forward motion, with the consequence that the dynamical variables are then attracted in phase space by the limit cycle corresponding to backward moving. The robot, which does not dispose of any distance or contact sensors, hence reverses direction autonomously.

  • Video_6_Kick Control: Using the Attracting States Arising Within the Sensorimotor Loop of Self-Organized Robots as Motor Primitives.MP4
    2018
    Co-Authors: Bulcsú Sándor, Michael Nowak, Tim Koglin, Laura Martin, Claudius Gros
    Abstract:

    Self-organized robots may develop attracting states within the sensorimotor loop, that is within the phase space of neural activity, body and environmental variables. Fixpoints, limit cycles and chaotic attractors correspond in this setting to a non-moving robot, to directed, and to irregular locomotion respectively. Short higher-order control commands may hence be used to kick the system from one self-organized attractor robustly into the basin of attraction of a different attractor, a concept termed here as kick control. The individual sensorimotor states serve in this context as highly compliant motor primitives. We study different implementations of kick control for the case of simulated and real-world wheeled robots, for which the dynamics of the distinct wheels is generated independently by local feedback loops. The feedback loops are mediated by rate-encoding neurons disposing exclusively of propriosensoric inputs in terms of projections of the actual rotational angle of the wheel. The changes of the neural activity are then transmitted into a rotational motion by a simulated transmission rod akin to the transmission rods used for Steam Locomotives. We find that the self-organized attractor landscape may be morphed both by higher-level control signals, in the spirit of kick control, and by interacting with the environment. Bumping against a wall destroys the limit cycle corresponding to forward motion, with the consequence that the dynamical variables are then attracted in phase space by the limit cycle corresponding to backward moving. The robot, which does not dispose of any distance or contact sensors, hence reverses direction autonomously.

  • Presentation_1_Kick Control: Using the Attracting States Arising Within the Sensorimotor Loop of Self-Organized Robots as Motor Primitives.PDF
    2018
    Co-Authors: Bulcsú Sándor, Michael Nowak, Tim Koglin, Laura Martin, Claudius Gros
    Abstract:

    Self-organized robots may develop attracting states within the sensorimotor loop, that is within the phase space of neural activity, body and environmental variables. Fixpoints, limit cycles and chaotic attractors correspond in this setting to a non-moving robot, to directed, and to irregular locomotion respectively. Short higher-order control commands may hence be used to kick the system from one self-organized attractor robustly into the basin of attraction of a different attractor, a concept termed here as kick control. The individual sensorimotor states serve in this context as highly compliant motor primitives. We study different implementations of kick control for the case of simulated and real-world wheeled robots, for which the dynamics of the distinct wheels is generated independently by local feedback loops. The feedback loops are mediated by rate-encoding neurons disposing exclusively of propriosensoric inputs in terms of projections of the actual rotational angle of the wheel. The changes of the neural activity are then transmitted into a rotational motion by a simulated transmission rod akin to the transmission rods used for Steam Locomotives. We find that the self-organized attractor landscape may be morphed both by higher-level control signals, in the spirit of kick control, and by interacting with the environment. Bumping against a wall destroys the limit cycle corresponding to forward motion, with the consequence that the dynamical variables are then attracted in phase space by the limit cycle corresponding to backward moving. The robot, which does not dispose of any distance or contact sensors, hence reverses direction autonomously.

Gros Claudius - One of the best experts on this subject based on the ideXlab platform.

  • Kick control: using the attracting states arising within the sensorimotor loop of self-organized robots as motor primitives
    'Frontiers Media SA', 2018
    Co-Authors: Sándor Bulcsú, Martin Laura, Nowak Michael, Koglin Tim, Gros Claudius
    Abstract:

    Self-organized robots may develop attracting states within the sensorimotor loop, that is within the phase space of neural activity, body, and environmental variables. Fixpoints, limit cycles, and chaotic attractors correspond in this setting to a non-moving robot, to directed, and to irregular locomotion respectively. Short higher-order control commands may hence be used to kick the system from one self-organized attractor robustly into the basin of attraction of a different attractor, a concept termed here as kick control. The individual sensorimotor states serve in this context as highly compliant motor primitives. We study different implementations of kick control for the case of simulated and real-world wheeled robots, for which the dynamics of the distinct wheels is generated independently by local feedback loops. The feedback loops are mediated by rate-encoding neurons disposing exclusively of propriosensoric inputs in terms of projections of the actual rotational angle of the wheel. The changes of the neural activity are then transmitted into a rotational motion by a simulated transmission rod akin to the transmission rods used for Steam Locomotives. We find that the self-organized attractor landscape may be morphed both by higher-level control signals, in the spirit of kick control, and by interacting with the environment. Bumping against a wall destroys the limit cycle corresponding to forward motion, with the consequence that the dynamical variables are then attracted in phase space by the limit cycle corresponding to backward moving. The robot, which does not dispose of any distance or contact sensors, hence reverses direction autonomously.Comment: 17 pages, 9 figure

  • Kick control : using the attracting states arising within the sensorimotor loop of self-organized robots as motor primitives
    2018
    Co-Authors: Sándor Bulcsú, Martin Laura, Nowak Michael, Koglin Tim, Gros Claudius
    Abstract:

    Self-organized robots may develop attracting states within the sensorimotor loop, that is within the phase space of neural activity, body and environmental variables. Fixpoints, limit cycles and chaotic attractors correspond in this setting to a non-moving robot, to directed, and to irregular locomotion respectively. Short higher-order control commands may hence be used to kick the system from one self-organized attractor robustly into the basin of attraction of a different attractor, a concept termed here as kick control. The individual sensorimotor states serve in this context as highly compliant motor primitives. We study different implementations of kick control for the case of simulated and real-world wheeled robots, for which the dynamics of the distinct wheels is generated independently by local feedback loops. The feedback loops are mediated by rate-encoding neurons disposing exclusively of propriosensoric inputs in terms of projections of the actual rotational angle of the wheel. The changes of the neural activity are then transmitted into a rotational motion by a simulated transmission rod akin to the transmission rods used for Steam Locomotives. We find that the self-organized attractor landscape may be morphed both by higher-level control signals, in the spirit of kick control, and by interacting with the environment. Bumping against a wall destroys the limit cycle corresponding to forward motion, with the consequence that the dynamical variables are then attracted in phase space by the limit cycle corresponding to backward moving. The robot, which does not dispose of any distance or contact sensors, hence reverses direction autonomously

  • A self-organized one-neuron controller for artificial life on wheels
    2017
    Co-Authors: Gros Claudius, Martin Laura, Sándor Bulcsú
    Abstract:

    We study simulated animats in terms of wheeled robots with the most simple neural controller possible – a single neuron per actuator. The system is fully self-organized in the sense that the controlling neuron receives uniquely the actual angle of the wheel as an input. Non-trivial locomotion results in structured environments, with the robot determining autonomously the direction of movement (time-reversal symmetry is spontaneously broken). Our controller, which mimics the mechanism used to transmit power in Steam Locomotives, abstracts from the body plan of the animat, working without problems also in the presence of noise and for chains of individual two-wheeled cars. Being fully compliant our controller may be also used, in the spirit of morphological computation, as a basic unit for higher-level evolutionary algorithms

Bulcsú Sándor - One of the best experts on this subject based on the ideXlab platform.

  • Autonomous direction reversal of an embodied wheeled robot
    2019
    Co-Authors: Claudius Gros, Bulcsú Sándor
    Abstract:

    Self-organized robots may develop attracting states within the sensorimotor loop, that is within the phase space of neural activity, body, and environmental variables. Fixpoints, limit cycles, and chaotic attractors correspond in this setting to a non-moving robot, to directed, and to irregular locomotion respectively. Short higher-order control commands may hence be used to kick the system from one self-organized attractor robustly into the basin of attraction of a different attractor, a concept termed here as kick control. The individual sensorimotor states serve in this context as highly compliant motor primitives. We study different implementations of kick control for the case of simulated and real-world wheeled robots, for which the dynamics of the distinct wheels is generated independently by local feedback loops. The feedback loops are mediated by rate-encoding neurons disposing exclusively of propriosensoric inputs in terms of projections of the actual rotational angle of the wheel. The changes of the neural activity are then transmitted into a rotational motion by a simulated transmission rod akin to the transmission rods used for Steam Locomotives. We find that the self-organized attractor landscape may be morphed both by higher-level control signals, in the spirit of kick control, and by interacting with the environment. Bumping against a wall destroys the limit cycle corresponding to forward motion, with the consequence that the dynamical variables are then attracted in phase space by the limit cycle corresponding to backward moving. The robot, which does not dispose of any distance or contact sensors, hence reverses direction autonomously.

  • Video_6_Kick Control: Using the Attracting States Arising Within the Sensorimotor Loop of Self-Organized Robots as Motor Primitives.MP4
    2018
    Co-Authors: Bulcsú Sándor, Michael Nowak, Tim Koglin, Laura Martin, Claudius Gros
    Abstract:

    Self-organized robots may develop attracting states within the sensorimotor loop, that is within the phase space of neural activity, body and environmental variables. Fixpoints, limit cycles and chaotic attractors correspond in this setting to a non-moving robot, to directed, and to irregular locomotion respectively. Short higher-order control commands may hence be used to kick the system from one self-organized attractor robustly into the basin of attraction of a different attractor, a concept termed here as kick control. The individual sensorimotor states serve in this context as highly compliant motor primitives. We study different implementations of kick control for the case of simulated and real-world wheeled robots, for which the dynamics of the distinct wheels is generated independently by local feedback loops. The feedback loops are mediated by rate-encoding neurons disposing exclusively of propriosensoric inputs in terms of projections of the actual rotational angle of the wheel. The changes of the neural activity are then transmitted into a rotational motion by a simulated transmission rod akin to the transmission rods used for Steam Locomotives. We find that the self-organized attractor landscape may be morphed both by higher-level control signals, in the spirit of kick control, and by interacting with the environment. Bumping against a wall destroys the limit cycle corresponding to forward motion, with the consequence that the dynamical variables are then attracted in phase space by the limit cycle corresponding to backward moving. The robot, which does not dispose of any distance or contact sensors, hence reverses direction autonomously.

  • Presentation_1_Kick Control: Using the Attracting States Arising Within the Sensorimotor Loop of Self-Organized Robots as Motor Primitives.PDF
    2018
    Co-Authors: Bulcsú Sándor, Michael Nowak, Tim Koglin, Laura Martin, Claudius Gros
    Abstract:

    Self-organized robots may develop attracting states within the sensorimotor loop, that is within the phase space of neural activity, body and environmental variables. Fixpoints, limit cycles and chaotic attractors correspond in this setting to a non-moving robot, to directed, and to irregular locomotion respectively. Short higher-order control commands may hence be used to kick the system from one self-organized attractor robustly into the basin of attraction of a different attractor, a concept termed here as kick control. The individual sensorimotor states serve in this context as highly compliant motor primitives. We study different implementations of kick control for the case of simulated and real-world wheeled robots, for which the dynamics of the distinct wheels is generated independently by local feedback loops. The feedback loops are mediated by rate-encoding neurons disposing exclusively of propriosensoric inputs in terms of projections of the actual rotational angle of the wheel. The changes of the neural activity are then transmitted into a rotational motion by a simulated transmission rod akin to the transmission rods used for Steam Locomotives. We find that the self-organized attractor landscape may be morphed both by higher-level control signals, in the spirit of kick control, and by interacting with the environment. Bumping against a wall destroys the limit cycle corresponding to forward motion, with the consequence that the dynamical variables are then attracted in phase space by the limit cycle corresponding to backward moving. The robot, which does not dispose of any distance or contact sensors, hence reverses direction autonomously.