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 x
... equations describing a 12 state dynamical system and in that case the exposed methodology is applied successfully . In the next phase , the results confirmation in on - line simulation process is to be expected . The perception of the ...
... equations describing a 12 state dynamical system and in that case the exposed methodology is applied successfully . In the next phase , the results confirmation in on - line simulation process is to be expected . The perception of the ...
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... equations ( 2 ) and ( 3 ) . 1 1 x '润 Ус y ' ( 2 ) BE y 1 = cos 0 c sin 0 c 0 - sin Oc C Xc cos c 0 X cos e - sin 0 ... equation ( 4 ) , both sets having n number of sampled corresponding points . n E2 = Σ || ( p , − ( Rp ; + T ) i = 1 ...
... equations ( 2 ) and ( 3 ) . 1 1 x '润 Ус y ' ( 2 ) BE y 1 = cos 0 c sin 0 c 0 - sin Oc C Xc cos c 0 X cos e - sin 0 ... equation ( 4 ) , both sets having n number of sampled corresponding points . n E2 = Σ || ( p , − ( Rp ; + T ) i = 1 ...
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... equation . Differentiating equation ( 5 ) yields : x = J ( $ ) ¢ where J ( $ ) = af аф is the Jacobian matrix ( 6 ) The non - linear expression is then converted into a linear equation in velocities . The Inverse Kinematics Problem ...
... equation . Differentiating equation ( 5 ) yields : x = J ( $ ) ¢ where J ( $ ) = af аф is the Jacobian matrix ( 6 ) The non - linear expression is then converted into a linear equation in velocities . The Inverse Kinematics Problem ...
Page 39
... equation to model underwater vehicle systems and uncertainty arising in the interactions between the vehicle and its environment . In this framework , Bayesian filter is applied to estimate vehicle pose ( i.e. , position and orientation ) ...
... equation to model underwater vehicle systems and uncertainty arising in the interactions between the vehicle and its environment . In this framework , Bayesian filter is applied to estimate vehicle pose ( i.e. , position and orientation ) ...
Page 43
... equation ( 1 ) . 3. Formulation of The CML Problem The chain rule of conditional probability is used to decompose the joint distribution of vehicle state , landmarks and observation in terms of the vehicle state and landmarks p ( x ...
... equation ( 1 ) . 3. Formulation of The CML Problem The chain rule of conditional probability is used to decompose the joint distribution of vehicle state , landmarks and observation in terms of the vehicle state and landmarks p ( x ...
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