Advances In Control Of Articulated And Mobile Robots
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Advances in Control of Articulated and Mobile Robots
This monograph presents an updated source of information on the state of the art in advanced control of articulated and mobile robots. It includes relevant selected problems dealing with enhanced actuation, motion planning and control functions for articulated robots, as well as of sensory and autonomous decision capabilities for mobile robots. The basic idea behind the book is to provide a larger community of robotic researchers and developers with a reliable source of information and innovative applications in the field of control of cooperating and mobile robots. This book is the outcome of the research project MISTRAL (Methodologies and Integration of Subsystems and Technologies for Anthropic Robotics and Locomotion) funded in 2001-2002 by the Italian Ministry for Education, University and Research. The thorough discussion, rigorous treatment, and wide span of the presented work reveal the significant advances in the theoretical foundation and technology basis of the robotics field worldwide.
Mobile Robots in Rough Terrain
Author: Karl Iagnemma
language: en
Publisher: Springer Science & Business Media
Release Date: 2004-07-08
This monograph discusses issues related to estimation, control, and motion planning for mobile robots operating in rough terrain, with particular attention to planetary exploration rovers. Rough terrain robotics is becoming increasingly important in space exploration, and industrial applications. However, most current motion planning and control algorithms are not well suited to rough terrain mobility, since they do not consider the physical characteristics of the rover and its environment. Specific addressed topics are: wheel terrain interaction modeling, including terrain parameter estimation and wheel terrain contact angle estimation; rough terrain motion planning; articulated suspension control; and traction control. Simulation and experimental results are presented that show that the desribed algorithms lead to improved mobility for robotic systems in rough terrain.
FastSLAM
This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.