Humans are involved with accidents in manufacturing environments. A possibility to prevent humans from these scenarios is, to introduce humanoid robots within these industrial areas. This paper investigates the contro...
Humans are involved with accidents in manufacturing environments. A possibility to prevent humans from these scenarios is, to introduce humanoid robots within these industrial areas. This paper investigates the control scenario and environments required at a small scale level, with the use of the Robosapien robot. The Robosapien robot is modified to control it with a task of removing a cylinder and inserting it into a hole. Analysis is performed on the performance of the Robosapien robot and relating it with that of a humanoid robot. A discussion with suggestions is concluded with the efficiency and profitability that would need to be considered, for having a humanoid robot within the manufacturing environment.
This paper describes an algorithm for path planning among polygonal obstacles that is safe and optimal in the 2D plane. The algorithm is a computational geometry based path planner but unlike existing path planners, t...
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There are several locomotion mechanisms in Nature. The study of mechanics of any locomotion is very useful for scientists and researchers. Many locomotion principles from Nature have been adapted in robotics. There ar...
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ISBN:
(纸本)9781467355599
There are several locomotion mechanisms in Nature. The study of mechanics of any locomotion is very useful for scientists and researchers. Many locomotion principles from Nature have been adapted in robotics. There are several species which are capable of multimode locomotion such as walking and swimming, and flying etc. Frogs are such species, capable of jumping, walking, and swimming. Multimode locomotion is important for robots to work in unknown environment. Frogs are widely known as good multimode locomotors. Webbed feet help them to swim efficiently in water. This paper presents the study of frog's swimming locomotion and adapting the webbed feet for swimming locomotion of the robots. A simple mechanical model of robotic leg with webbed foot, which can be used for multi-mode locomotion and robotic frog, is put forward. All the joints of the legs are designed to be driven by tendon-pulley arrangement with the actuators mounted on the body, which allows the legs to be lighter and compact.
In this paper, a water tank experiment was conducted to check the performance of a robotic fish. To view the function of a robotic fish swimming in flowing water, a circulating water tank should be used. 4 types of a ...
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In this paper, a water tank experiment was conducted to check the performance of a robotic fish. To view the function of a robotic fish swimming in flowing water, a circulating water tank should be used. 4 types of a caudal fin were made and used in the water tank experiment and the thrust of each case was measured and compared. Through this experiment, it can be identified swimming performance of each caudal fin.
This paper presents the conceptual design and simulation of a rotational parallel robot. This robot is used to reproduce movement;the robot workspace, inverse kinematic study and a simulation of the system in a trajec...
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This paper presents a metaheuristic optimization-based approach to mobile robot path planning problem. A comparative study between trajectory-based metaheuristic optimization and population-based metaheuristic optimiz...
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This paper presents a metaheuristic optimization-based approach to mobile robot path planning problem. A comparative study between trajectory-based metaheuristic optimization and population-based metaheuristic optimization is conducted. Breadth-first deterministic search is used to find the optimal solution (ground truth) that is compared to the paths generated by tabu search, simulated annealing and genetic algorithm. The experimental study shows that simulated annealing outperforms the other algorithms in terms of computational time while tabu search gives the shortest path.
This article presents an approach to implement a cooperative multirobot system capable of solving complex problems. In this cooperative multirobot system, individual actions of the robots are controlled by the Belief-...
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This article presents an approach to implement a cooperative multirobot system capable of solving complex problems. In this cooperative multirobot system, individual actions of the robots are controlled by the Belief-Desire-Intention model to endow the robots with the know-how needed to execute these actions deliberately. The cooperative behaviors between the heterogeneous robots are governed by the Team-Log theory to endow all the robots in the team with the know-how-to-cooperate and determine the team member's commitments to each other despite their different types, properties and goals. The proposed approach is tested for validity with the real life problem of humanitarian demining, as it requires cooperation between different robots to scan and clear a minefield from all the landmines.
Although machine learning methods, such as random forests, have been developed to correlate survival outcomes with a set of genes, less study has assessed the abilities of these methods in incorporating pathway inform...
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Although machine learning methods, such as random forests, have been developed to correlate survival outcomes with a set of genes, less study has assessed the abilities of these methods in incorporating pathway information for analyzing microarray data. In general, genes that are identified without incorporating biological knowledge are more difficult to interpret. Thus, the pathway-based survival analysis using machine learning methods represents a promising approach for generating new biological hypothesis from microarray studies. The two popular variants of random forests used in this research for survival data are random survival forests and bivariate node-splitting random survival forests. There are three types of datasets used for this research and each dataset with a three-level outcome. This research which compared the four splitting rules available in random survival forests to identify log-rank test is the most accurate in terms of prediction error. To evaluate the accuracy of pathway based survival approach, this research considered employing area under the receiver operating characteristic curve for censored data. The use of random survival forests for survival outcomes in analyzing microarray data allows researchers to obtain results that are more closely tied with the biological mechanism of diseases.
Advancements in robotic technologies have seen robots playing vital roles in search and rescue operations. These robots explore regions of the disaster scene which are dangerous for human rescuers and would be physica...
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ISBN:
(纸本)9781467316439
Advancements in robotic technologies have seen robots playing vital roles in search and rescue operations. These robots explore regions of the disaster scene which are dangerous for human rescuers and would be physically impossible for the rescuers to operate. The robots collect information about the disaster scene and transmit it to the rescuers who would then plan the course of action to take. The paper describes two platforms of different classification used for search and rescue operations in a similar disaster environment. A survey and requirement of the physical structure and the various electronic components for these platforms are investigated. Comparison of the physical structure and electronic components of these platforms which make them suitable for application are discussed.
Microarray ade4 or known as MADE4 is a multivariate software analysis package for microarray gene expression data. This software package is capable of accepting wide variety of gene expression data formats such as Bio...
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Microarray ade4 or known as MADE4 is a multivariate software analysis package for microarray gene expression data. This software package is capable of accepting wide variety of gene expression data formats such as Bioconductor Affy Batch and exprSet. This MADE4 R package extends the advantages of ade4 package in multivariate statistical and graphical functions for the use in the microarray data application. Moreover, MADE4 provides new graphical and visualization tools that assist in the interpretation of multivariate analysis of microarray data. Besides that, LLSimpute algorithm has been incorporated to assist in handling of datasets with missing values and this has eased the application for the users to analysis on gene expression data that contain missing values.
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