Autonomous Robots Research AdvancesWeihua Yang Autonomous robots are robots which can perform desired tasks in unstructured environments without continuous human guidance. Many kinds of robots have some degree of autonomy. Different robots can be autonomous in different ways. A high degree of autonomy is particularly desirable in fields such as space exploration, where communication delays and interruptions are unavoidable. Some modern factory robots are "autonomous" within the strict confines of their direct environment. The exact orientation and position of the next object of work and (in the more advanced factories) even the type of object and the required task must be determined. This can vary unpredictably (at least from the robot's point of view). One important area of robotics research is to enable the robot to cope with its environment whether this be on land, underwater, in the air, underground, or in space. This book presents the latest research from around the globe. |
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Page 40
... Filter as the estimation algorithm [ 11 ] . In these developments , simplification in the time update step and ... particle filtering techniques . While such approaches work well in low dimensional problems such as localisation , they ...
... Filter as the estimation algorithm [ 11 ] . In these developments , simplification in the time update step and ... particle filtering techniques . While such approaches work well in low dimensional problems such as localisation , they ...
Page 44
... Filter ( EKF ) , the Particle Filter or Monte - Carlo method and several other methods . The Sum- of - Gaussian ( SOG ) is a compromise between the EKF and Particle Filter methods . 4.1 . The Extended Kalman Filter The basis of the 44 ...
... Filter ( EKF ) , the Particle Filter or Monte - Carlo method and several other methods . The Sum- of - Gaussian ( SOG ) is a compromise between the EKF and Particle Filter methods . 4.1 . The Extended Kalman Filter The basis of the 44 ...
Page 48
... Particle Filter Method Particle filters have been applied successfully to a variety of real world estimation problems [ 8 , 15 ] . In contrast to the EKF , Particle Filtering or Monte - Carlo methods aim to provide a complete ...
... Particle Filter Method Particle filters have been applied successfully to a variety of real world estimation problems [ 8 , 15 ] . In contrast to the EKF , Particle Filtering or Monte - Carlo methods aim to provide a complete ...
Page 49
Weihua Yang. The Kalman Filter and the EKF described already , represent probability distributions using a parameterized model ( a multivariate Gaussian ) . Particle filters , on the other hand , represent distributions using a finite ...
Weihua Yang. The Kalman Filter and the EKF described already , represent probability distributions using a parameterized model ( a multivariate Gaussian ) . Particle filters , on the other hand , represent distributions using a finite ...
Page 50
... Particle filter , while inheriting the real - time computational advantages of the Kalman filter . The SOG method first defines a SOG model for sensor observations and for vehicle motion . It computes the time update ( a convolution ) ...
... Particle filter , while inheriting the real - time computational advantages of the Kalman filter . The SOG method first defines a SOG model for sensor observations and for vehicle motion . It computes the time update ( a convolution ) ...
Contents
1 | |
35 | |
ROBOT VISION FOR INTELLIGENT AUTONOMOUS VEHICLES | 69 |
VLSI ARCHITECTURES FOR AUTONOMOUS ROBOTS A REVIEW | 105 |
BEHAVIORAL MULTIAGENT BASED CONTROL ARCHITECTURE FOR AUTONOMOUS ROBOTIC SYSTEMS | 121 |
ADVANCED LANE DETECTION FOR AUTONOMOUS NAVIGATION | 141 |
AUTONOMOUS VEHICLE PATH PLANNING SPECIALLY ACCORDING TO THE NARROW PASSAGE AND GOAL POSITION REACHING | 179 |
PERCEPTION THROUGH SCATTERING MEDIA FOR AUTONOMOUS VEHICLES | 223 |
DEVELOPMENT OF A DYNAMIC VISUAL TRACKING SYSTEM BASED ON MULTICUE MATCHING AND TARGET POSITION PREDICTION | 269 |
A MOBILE PARALLEL MANIPULATOR CONCEPTUAL DESIGN AND MODELING | 295 |
DEVELOPMENT OF A CONSTRUCTION ROBOT FOR HEAVY MATERIAL INSTALLATION EXPERIMENT ON A PROTOTYPE AND PROPO... | 313 |
INDEX | 345 |
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Common terms and phrases
algorithm applications approach architecture autonomous robots autonomous underwater vehicles autonomous vehicle behavior BMAC camera clone color histogram Computer Vision Conference on Robotics configuration construction robots contrast coordinates core system covariance curtain wall curtain wall installation developed driver environment equation error estimation Figure FPGA frame function gradient IEEE IEEE International Conference implementation Intelligent Transportation Systems Kalman filter kinematic landmarks lane boundaries lane detection lane markings learning machine learning manipulator matching cue matrix method mobile robot module motion planning navigation neural network obstacles operator optimal output parallel manipulator parallel robot parameters Particle filter performance pixels plane problem proposed real-time road markings road sign robot-agents Robotic Systems Robotics and Automation robust sensors simulation sonar Symposium target position target template task template matching trajectory underwater vehicle update vector vertical visual tracking system VLSI workspace