34 Result(s)
within
Chapter
Yangsheng Xu
-
Chapter
State-of-the-Art Tree-Climbing Robots
There are several robots developed in the literature that are capable of climbing trees. Some of the robots are specifically designed for tree climbing while some of them are designed for moving in multiple te...
-
Chapter
A Novel Tree-Climbing Robot: Treebot
Based on the limitation of the existing tree-climbing robots, one of the motivations of the work presented in this book is to develop a novel type of tree-climbing robot that can assist or replace humans in pe...
-
Chapter
Kinematics and Workspace Analysis
Fig. 6.1 shows the configuration of Treebot. In the notations, the superscripts r and f denote the front and rear gripper frame respectively. l f and l
-
Chapter
Global Path and Motion Planning
The global motion planning problem for tree climbing is challenging, as trees have an irregular and complex shape. To the best of the author’s knowledge, there is no related study that focuses on the global mo...
-
Chapter
Introduction
Climbing robot is one of the hottest research topics that gains much attention from researchers. Within this field, most of the climbing robots reported in the literature are designed for climbing manmade stru...
-
Chapter
Methodology of Tree Climbing
Arboreal habitats are complex environments that pose numerous challenges to arboreal animals. These include climbing on cylindrical branches with variable diameters and inclined angles, moving in narrow spaces...
-
Chapter
Optimization of the Fastening Force
The proposed tree gripper introduced in Chapter 4 is simple in control. It also implies that it has less controllability. In order to tackle the variant environment in limited controllability, the setting of t...
-
Chapter
Autonomous Climbing
The goal of develo** of Treebot is to assist or replace people in performing forestry tasks on trees. A certain level of autonomous climbing ability of Treebot helps reduce the complexity of operation by use...
-
Chapter
Conclusions and Future Work
This book reports a great deal on analysis, mechanical design, motion planning and control of Treebot. To conclude this book, the contributions to the field of treeclimbing robots presented in this book are ou...
-
Chapter
Introduction
With the development and globalization of human social activities, surveillance systems has become increasingly important and popular in public places such as banks, airports, public squares, casinos. A signif...
-
Chapter
Segmentation and Tracking
After foreground extraction, if nonsignificant merging occurs among people, then segmentation is necessary, and the merged blobs can be split into separate ones equal in number to the number of people in the m...
-
Chapter
Facial Analysis of Individuals
In the previous chapter, we presented behavior analysis, which is based on dynamic information, including background extraction based on a series of frames, blob detection based on two consecutive frames, and ...
-
Chapter
Background/Foreground Detection
With the acquisition of an image, the first step is to distinguish objects of interest from the background. In surveillance applications, those objects of interest are usually humans. Their various shapes and ...
-
Chapter
Behavior Analysis of Human Groups
In the surveillance of public areas, human groups should be the major targets monitored because of their highly sociable character. In groups, the behavior of individuals usually depends on that of others. Hen...
-
Chapter
Static Analysis of Crowds: Human Counting and Distribution
An important feature of crowd surveillance is the estimation of the number of persons in the monitored scene. People counting is especially important for crowd modeling as it not only gives a direct estimation...
-
Chapter
Behavior Analysis of Individuals
After successful segmentation and tracking, the temporal-spatial information of each blob sequence can be indexed for further behavior analysis. In this chapter, we elaborate two kinds of approaches for the be...
-
Chapter
Dynamic Analysis of Crowd Behavior
In many cases, we cannot obtain the background image easily, and if the occlusion is serious, then it is difficult to segment masses of blobs into single blobs.We therefore use optical flow to detect abnormal ...
-
Chapter and Conference Paper
Multi-Objective Optimal Trajectory Planning of Space Robot Using Particle Swarm Optimization
Space robots are playing significant roles in the maintenance and repair of space station and satellites and other future space services. The motion trajectory planning is a key problem for accomplishing above...
-
Chapter and Conference Paper
Driving Load Forecasting Using Cascade Neural Networks
This paper presents an approach for solving the driving load forecasting problem based on Cascade Neural Networks with node-decoupled extended Kalman Filtering (CNN-NDEKF). Because of the inherent advantages, ...
-
Chapter and Conference Paper
Learning Control for Space Robotic Operation Using Support Vector Machines
Automatical operation of space robots is a challenging and ultimate goal of space servicing. In this paper, we present a novel approach for tracking and catching operation of space robots based on learning and...
