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Avoidance

The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform

Wei Wang – 1st expert on this subject based on the ideXlab platform

  • ROBIO – A Method for Robustness Improvement of Robot Obstacle Avoidance Algorithm
    2006 IEEE International Conference on Robotics and Biomimetics, 2006
    Co-Authors: Gu Anghua Zong, Luhua Deng, Wei Wang

    Abstract:

    The robustness of obstacle Avoidance algorithm is one of the important factors to successful applications of mobile robot systems. The sonar ring is used widely for autonomous mobile robot obstacle Avoidance. This paper first analyzes the robustness of the existing obstacle Avoidance algorithms based on sonar ring, indicates that the certainty grid method for obstacle representation is helpful to the robustness improvement of obstacle Avoidance algorithms, but its effect is limited, it also has many disadvantages. By the simulation of two typical obstacle Avoidance algorithms, the damage of interfered sonar data is revealed. Then the kinematics model of obstacle Avoidance is built, Kalman filter which can restrain divergence is designed for interfered sonar data. Sonar data is used by obstacle Avoidance algorithm after filtering. By the simulation contrast of the two obstacle Avoidance algorithms, the effect of the Kalman filter for robustness improvement of obstacle Avoidance algorithms is testified. Finally, the effect of the Kalman filter for eliminating noises in sonar data and for robustness improvement of obstacle Avoidance algorithms is verified by experiments in two different situation.

  • A Method for Robustness Improvement of Robot Obstacle Avoidance Algorithm
    2006 IEEE International Conference on Robotics and Biomimetics, 2006
    Co-Authors: Gu Anghua Zong, Luhua Deng, Wei Wang

    Abstract:

    The robustness of obstacle Avoidance algorithm is one of the important factors to successful applications of mobile robot systems. The sonar ring is used widely for autonomous mobile robot obstacle Avoidance. This paper first analyzes the robustness of the existing obstacle Avoidance algorithms based on sonar ring, indicates that the certainty grid method for obstacle representation is helpful to the robustness improvement of obstacle Avoidance algorithms, but its effect is limited, it also has many disadvantages. By the simulation of two typical obstacle Avoidance algorithms, the damage of interfered sonar data is revealed. Then the kinematics model of obstacle Avoidance is built, Kalman filter which can restrain divergence is designed for interfered sonar data. Sonar data is used by obstacle Avoidance algorithm after filtering. By the simulation contrast of the two obstacle Avoidance algorithms, the effect of the Kalman filter for robustness improvement of obstacle Avoidance algorithms is testified. Finally, the effect of the Kalman filter for eliminating noises in sonar data and for robustness improvement of obstacle Avoidance algorithms is verified by experiments in two different situation.

Hajime Asama – 2nd expert on this subject based on the ideXlab platform

  • IROS – Smooth collision Avoidance in human-robot coexisting environment
    2010 IEEE RSJ International Conference on Intelligent Robots and Systems, 2010
    Co-Authors: Y Tamura, Taishi Fukuzawa, Hajime Asama

    Abstract:

    In order for service robots to safely coexist with humans, collision Avoidance with humans is the most important issue. On the other hand, working efficiencies are also important and cannot be ignored. In this paper, we propose a method to estimate a pedestrian’s behavior. Based on the estimation, we realize smooth collision Avoidances between a robot and a human. A robot detects pedestrians by using a laser range finder and tracks them by a Kalman filter. We apply the social force model to the observed trajectory for a determination whether the pedestrian intends to avoid a collision with the robot or not. The robot selects an appropriate behavior based on the estimation results. We conducted experiments that a robot and a person pass each other. Through the experiments, the usefulness of the proposed method was demonstrated.

  • Intelligent
    Intelligent Robots and Systems (IROS) 2010 IEEE RSJ International Conference on, 2010
    Co-Authors: Y Tamura, Taishi Fukuzawa, Hajime Asama

    Abstract:

    In order for service robots to safely coexist with humans, collision Avoidance with humans is the most important issue. On the other hand, working efficiencies are also important and cannot be ignored. In this paper, we propose a method to estimate a pedestrian’s behavior. Based on the estimation, we realize smooth collision Avoidances between a robot and a human. A robot detects pedestrians by using a laser range finder and tracks them by a Kalman filter. We apply the social force model to the observed trajectory for a determination whether the pedestrian intends to avoid a collision with the robot or not. The robot selects an appropriate behavior based on the estimation results. We conducted experiments that a robot and a person pass each other. Through the experiments, the usefulness of the proposed method was demonstrated.

  • Smooth collision Avoidance in human-robot coexisting environment
    2010 IEEE RSJ International Conference on Intelligent Robots and Systems, 2010
    Co-Authors: Y Tamura, Taishi Fukuzawa, Hajime Asama

    Abstract:

    In order for service robots to safely coexist with humans, collision Avoidance with humans is the most important issue. On the other hand, working efficiencies are also important and cannot be ignored. In this paper, we propose a method to estimate a pedestrian’s behavior. Based on the estimation, we realize smooth collision Avoidances between a robot and a human. A robot detects pedestrians by using a laser range finder and tracks them by a Kalman filter. We apply the social force model to the observed trajectory for a determination whether the pedestrian intends to avoid a collision with the robot or not. The robot selects an appropriate behavior based on the estimation results. We conducted experiments that a robot and a person pass each other. Through the experiments, the usefulness of the proposed method was demonstrated.

Benjamin R. Walker – 3rd expert on this subject based on the ideXlab platform

  • reinforcement sensitivity theory and the 2 2 standpoints model of achievement goals
    Personality and Individual Differences, 2019
    Co-Authors: Nicola Farrell, Benjamin R. Walker

    Abstract:

    Abstract Approach and Avoidance underlies both the 2 × 2 Standpoints Model of Achievement Goals and Reinforcement Sensitivity Theory. It was hypothesised that BAS was an approach orientation that would predict development and demonstration approach goals. It was also hypothesised the BIS was cautious approach and would predict development and demonstration approach and Avoidance goals. Using 167 adults, it was found that BAS positively predicted approach goals and BIS positively predicted approach and Avoidance goals. Surprisingly, defensive fight positively predicted both approach and Avoidance goals, BAS predicted Avoidance goals and the fight-flight-freeze system positively predicted demonstration Avoidance goals. This study improves understanding of the relationship between the more biologically-based RST and the cognitive construct of goals.

  • Reinforcement Sensitivity Theory and the 2 × 2 Standpoints Model of Achievement Goals
    Personality and Individual Differences, 2019
    Co-Authors: Nicola Farrell, Benjamin R. Walker

    Abstract:

    Abstract Approach and Avoidance underlies both the 2 × 2 Standpoints Model of Achievement Goals and Reinforcement Sensitivity Theory. It was hypothesised that BAS was an approach orientation that would predict development and demonstration approach goals. It was also hypothesised the BIS was cautious approach and would predict development and demonstration approach and Avoidance goals. Using 167 adults, it was found that BAS positively predicted approach goals and BIS positively predicted approach and Avoidance goals. Surprisingly, defensive fight positively predicted both approach and Avoidance goals, BAS predicted Avoidance goals and the fight-flight-freeze system positively predicted demonstration Avoidance goals. This study improves understanding of the relationship between the more biologically-based RST and the cognitive construct of goals.