• No results found

Design and analysis of Intelligent Navigational controller for Mobile Robot

N/A
N/A
Protected

Academic year: 2021

Share "Design and analysis of Intelligent Navigational controller for Mobile Robot"

Copied!
139
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 2.3: Functional diagram of sensor integration the cumulative error with the dead-reckoning method.
Figure 3.6: Fluctuation of velocity in all type of wheel.
Table 3.1: Robot maneuverability (δ M ) for five basic types of three wheel configuration.
Figure 3.13: Atom-R1 robot represent the holonomicity principle where GDOF=3=TDOF.
+7

References

Related documents

I use a probit model to predict outcomes of spread bets and find that home teams are at a disadvantage for beating the spread, being the underdog increases a home team’s likelihood

7 Here, by invoking chemical doping, high- κ dielectrics and new device design, we demonstrate n-type SWNT FETs with performance matching or approaching the best p-type

An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector

Routers Communication Protocols Links DNS Servers Reactive Security Proactive Security Virus Scanner Misuse Detection Intrusion Detection System (IDS) Network

This article presents a set of alternative for imbalanced data learning assessment, using a combined measures (G-means, likelihood ratios, Discriminant power, F-Measure

The generic algorithm (for either model) takes a set of policy parameters θ and a sample size M as input, and returns an estimate of the posterior moments of the gradient of

Harper , 2014 WL 5487788, at *6 (“Section 121(a)(1) requires pre-suit notice ‘to each health care provider that will be a defendant.’ Section 121(c) provides that ‘[w]hen notice