Development and empirical study of Network Teaching Plan Generation System

2010 ◽  
Author(s):  
Yuanyuan Lu
Keyword(s):  
Empirical Study ◽  
Generation System ◽  
Network Teaching ◽  
Plan Generation ◽  
Teaching Plan

Damaged Ship Anti-Flooding Decision Plan Intelligent Generation System Based on Petri Net and Heuristic Color Genetic Algorithm

2013 ◽  
Vol 706-708 ◽  
pp. 1866-1870
Author(s):  
Ang Li ◽  
Jin Yun Pu
Keyword(s):  
Genetic Algorithm ◽  
Petri Net ◽  
Search Efficiency ◽  
Generation System ◽  
Plan Generation ◽  
Intelligent Decision ◽  
Balance Decision ◽  
Definition Of ◽  
Algorithm Search ◽  
Damaged Ship

No matter in the wartime or in the peace time, the intelligent generation system of damaged ship anti-flooding decision plan is an important tool to guarantee ship survivability and safety. The intelligent decision plan generation system which has high search efficiency plays an important role in recovering the buoyancy and stability indicts of damaged ship. The intelligent decision plan generation system introduced in this paper contains Petri net model and heuristic color genetic algorithm. The Petri net is used to model the ship anti-flooding decision process and the heuristic color genetic algorithm is used to solve intelligent hull balance decision problem. The traditional genetic algorithm is improved according to the special demand of hull balance. Based on the definition of the colored gene and the foundation of the heuristic search rules, the heuristic color genetic algorithm is given to improve the traditional genetic algorithm search efficiency.

scholarly journals Design of Hybrid Cells to Facilitate Safe and Efficient Human–Robot Collaboration During Assembly Operations

2018 ◽  
Vol 18 (3) ◽  
Author(s):  
Krishnanand N. Kaipa ◽  
Carlos W. Morato ◽  
Satyandra K. Gupta
Keyword(s):  
Three Dimensional ◽  
System State ◽  
Hybrid Cells ◽  
Generation System ◽  
State Monitoring ◽  
Plan Generation ◽  
3D Printed ◽  
Assembly Operations ◽  
Human Robot Collaboration

This paper presents a framework to build hybrid cells that support safe and efficient human–robot collaboration during assembly operations. Our approach allows asynchronous collaborations between human and robot. The human retrieves parts from a bin and places them in the robot's workspace, while the robot picks up the placed parts and assembles them into the product. We present the design details of the overall framework comprising three modules—plan generation, system state monitoring, and contingency handling. We describe system state monitoring and present a characterization of the part tracking algorithm. We report results from human–robot collaboration experiments using a KUKA robot and a three-dimensional (3D)-printed mockup of a simplified jet-engine assembly to illustrate our approach.

scholarly journals Herding the Crowd: Using Automated Planning for Better Crowdsourced Planning

2017 ◽  
Vol 4 (1) ◽  
pp. 25-46
Author(s):  
Lydia Manikonda ◽  
Tathagata Chakraborti ◽  
Kartik Talamadupula ◽  
Subbarao Kambhampati
Keyword(s):  
Automated Planning ◽  
Human Computation ◽  
Generation System ◽  
Planning And Scheduling ◽  
Plan Generation ◽  
Tour Planning ◽  
Primitive Forms ◽  
Preference Models ◽  
Conference Scheduling

One subclass of human computation applications are those directed at tasks that involve planning (e.g. tour planning) and scheduling (e.g. conference scheduling). Interestingly, work on these systems shows that even primitive forms of automated oversight on the human contributors helps in significantly improving the effectiveness of the humans/crowd. In this paper, we argue that the automated oversight used in these systems can be viewed as a primitive automated planner, and that there are several opportunities for more sophisticated automated planning in effectively steering crowdsourced planning. Straightforward adaptation of current planning technology is however hampered by the mismatch between the capabilities of human workers and automated planners. We identify and partially address two important challenges that need to be overcome before such adaptation of planning technology can occur: (i) interpreting inputs of the human workers (and the requester) and (ii) steering or critiquing plans produced by the human workers, armed only with incomplete domain and preference models. To these ends, we describe the implementation of AI-MIX, a tour plan generation system that uses automated checks and alerts to improve the quality of plans created by human workers.

A Plan Generation System of Huizhou Traditional Residence

2013 ◽  
Vol 409-410 ◽  
pp. 486-495
Author(s):  
Jian Ming Su ◽  
Xiao Mei Mei ◽  
Zhao Hao
Keyword(s):  
Data Analysis ◽  
Architectural Design ◽  
Functional Space ◽  
Axial Direction ◽  
Total Width ◽  
Computer Language ◽  
Generation System ◽  
Plan Generation ◽  
Computer Aided ◽  
Transition Space

This paper discusses a method of constructing a system for generating the plan with the characteristics of Huizhou traditional residence. Based on the data analysis of Huizhou traditional houses, this paper summarized the rules of the form composition in Huizhou traditional residence, which include the rules of site, axial direction, total width, functional space, transition space, patio space and total depth etc. Meanwhile, with the help of grammar translation in computer aided architectural design, these rules are transformed into generation grammars from words description by mathematics and computer language expression. Moreover, the plan with characteristics of Huizhou traditional houses has been generated under given conditions through a generation system for computer aided architectural design, which has been proved to be effective through an example of plan generation.

A Framework for Hybrid Cells That Support Safe and Efficient Human-Robot Collaboration in Assembly Operations

2014 ◽  
Author(s):  
Carlos W. Morato ◽  
Krishnanand N. Kaipa ◽  
Jiashun Liu ◽  
Satyandra K. Gupta
Keyword(s):  
Human Model ◽  
System State ◽  
Hybrid Cells ◽  
Generation System ◽  
State Monitoring ◽  
Virtual Cell ◽  
Plan Generation ◽  
Collaboration Model ◽  
Assembly Operations ◽  
Human Robot Collaboration

In this paper, we present a framework to build hybrid cells that support safe and efficient human-robot collaboration during assembly operations. Our approach considers a representative one-robot one-human model in which a human and a robot asynchronously work toward assembling a product. Whereas the human retrieves parts from a bin and brings them into the robot workspace, the robot picks up parts from its workspace and assembles them into the product. Using this collaboration model, we explicate the design details of the overall framework comprising three modules — plan generation, system state monitoring, and contingency handling. We provide details of the virtual cell and the physical cell used to implement our framework. Finally, we report results from human-robot collaboration experiments to illustrate our approach.

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