Autonomous Robots Research Advances
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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ROBOT VISION FOR INTELLIGENT AUTONOMOUS VEHICLES
VLSI ARCHITECTURES FOR AUTONOMOUS ROBOTS A REVIEW
BEHAVIORAL MULTIAGENT BASED CONTROL ARCHITECTURE FOR AUTONOMOUS ROBOTIC SYSTEMS
ADVANCED LANE DETECTION FOR AUTONOMOUS NAVIGATION
AUTONOMOUS VEHICLE PATH PLANNING SPECIALLY ACCORDING TO THE NARROW PASSAGE AND GOAL POSITION REACHING
PERCEPTION THROUGH SCATTERING MEDIA FOR AUTONOMOUS VEHICLES
DEVELOPMENT OF A DYNAMIC VISUAL TRACKING SYSTEM BASED ON MULTICUE MATCHING AND TARGET POSITION PREDICTION
A MOBILE PARALLEL MANIPULATOR CONCEPTUAL DESIGN AND MODELING
DEVELOPMENT OF A CONSTRUCTION ROBOT FOR HEAVY MATERIAL INSTALLATION EXPERIMENT ON A PROTOTYPE AND PROPO...
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 installation developed driver dynamic visual tracking environment equation 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 problem proposed real-time road markings road sign robot-agents Robotic Systems Robotics and Automation robust sensors simulation sonar space Symposium target position target template task template matching trajectory underwater vehicle update vector vertical visibility distance visual tracking system VLSI workspace