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 ix
... configuration and conditions ( traffic , adverse weather and lighting conditions ) . Genericity of the perception process is thus of great importance , as well as its reliability . In Chapter 6 advanced lane detection techniques ...
... configuration and conditions ( traffic , adverse weather and lighting conditions ) . Genericity of the perception process is thus of great importance , as well as its reliability . In Chapter 6 advanced lane detection techniques ...
Page x
... configurations one can meet , including road singularities such as exits and zebra road markings . To tackle this issue , the system is brought a step further , by using various instances of the high level lane model at the same time ...
... configurations one can meet , including road singularities such as exits and zebra road markings . To tackle this issue , the system is brought a step further , by using various instances of the high level lane model at the same time ...
Page 11
... configuration allows the robot to climb a vertical surface with a minimum curvature radius of 1.8 m . This type of suction cup based robots has been developed. Figure 5. Classical wall climbing robot . ( Gambao 2004 ) Figure 6. The ...
... configuration allows the robot to climb a vertical surface with a minimum curvature radius of 1.8 m . This type of suction cup based robots has been developed. Figure 5. Classical wall climbing robot . ( Gambao 2004 ) Figure 6. The ...
Page 26
... configuration ) , construction scheduling ( e.g. to solve the cost - duration trade - off problem ) , construction cost estimation ( e.g. to estimate the cost construction materials , equipment and labor ) and decision - support to aid ...
... configuration ) , construction scheduling ( e.g. to solve the cost - duration trade - off problem ) , construction cost estimation ( e.g. to estimate the cost construction materials , equipment and labor ) and decision - support to aid ...
Page 110
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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