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. |
From inside the book
Results 1-5 of 33
Page ix
... simulation results display the capacity of BMAC to achieve a transport application . Autonomous navigation is an essential task for robots . In a road environment , navigation means following the right lane of the road whatever can be ...
... simulation results display the capacity of BMAC to achieve a transport application . Autonomous navigation is an essential task for robots . In a road environment , navigation means following the right lane of the road whatever can be ...
Page x
... simulation process is to be expected . The perception of the environment is a fundamental task for autonomous robots . Unfortunately , the performances of the vision systems are drastically altered in presence of bad weather ...
... simulation process is to be expected . The perception of the environment is a fundamental task for autonomous robots . Unfortunately , the performances of the vision systems are drastically altered in presence of bad weather ...
Page xi
... Simulation results illustrate not only the well performance of the control algorithm , but also the validation of the established dynamic model as well . The presented research provides a sound base for the development of a new ...
... Simulation results illustrate not only the well performance of the control algorithm , but also the validation of the established dynamic model as well . The presented research provides a sound base for the development of a new ...
Page 32
... Simulation and locomotion control for the Alicia climbing robot " , Proceedings of 22nd International Symposium on Automation and Robotics in Construction . Low K.H. , Loh W.K. Wang H. and Angeles J. ( 2005 ) , " Motion study of an omni ...
... Simulation and locomotion control for the Alicia climbing robot " , Proceedings of 22nd International Symposium on Automation and Robotics in Construction . Low K.H. , Loh W.K. Wang H. and Angeles J. ( 2005 ) , " Motion study of an omni ...
Page 121
You have reached your viewing limit for this book.
You have reached your viewing limit for this book.
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 |
Other editions - View all
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