Motion planning of a quadrotor robot game using a simulation-based projected policy iteration method

2019 ◽  
Vol 20 (4) ◽  
pp. 525-537
Author(s):  
Li-dong Zhang ◽  
Ban Wang ◽  
Zhi-xiang Liu ◽  
You-min Zhang ◽  
Jian-liang Ai
Keyword(s):  
Motion Planning ◽  
Iteration Method ◽  
Policy Iteration ◽  
Simulation Based ◽  
Quadrotor Robot

Object delineation in noisy images by a modified policy-iteration method

1992 ◽  
Vol 14 (9) ◽  
pp. 952-958 ◽  
Author(s):  
A.C.M. Dumay ◽  
M.N.A.J. Claessens ◽  
C. Roos ◽  
J.J. Gerbrands ◽  
J.H.C. Reiber
Keyword(s):  
Iteration Method ◽  
Policy Iteration ◽  
Noisy Images ◽  
Object Delineation

Simulation-Based Approximate Policy Iteration with Generalized Logistic Functions

2015 ◽  
Vol 27 (3) ◽  
pp. 579-595 ◽  
Author(s):  
Antoine Sauré ◽  
Jonathan Patrick ◽  
Martin L. Puterman
Keyword(s):  
Policy Iteration ◽  
Simulation Based ◽  
Approximate Policy Iteration ◽  
Logistic Functions

HiL-Simulator für den industriellen „Griff in die Kiste”*/HiL simulator for industrial bin picking

2017 ◽  
Vol 107 (10) ◽  
pp. 767-772
Author(s):  
S. Fur ◽  
C. Scheifele ◽  
A. Pott ◽  
A. Prof. Verl
Keyword(s):  
Object Detection ◽  
Motion Planning ◽  
Motion Control ◽  
Software Tools ◽  
Robotic Systems ◽  
Intelligent Algorithms ◽  
Simulation Based ◽  
Bin Picking

Beim „Griff in die Kiste“ kommen Robotersysteme mit intelligenten Algorithmen für die Objekterkennung, Bewegungsplanung und Bewegungssteuerung zum Einsatz. Auf dem Markt gibt es derzeit verschiedene Softwaretools, die sich mit der Steuerung solcher Systeme beschäftigen. Um die steigende Komplexität zu beherrschen und die Auslegung der Systeme zu optimieren, wird ein simulationsgestütztes Werkzeug zur simulationsbasierten Inbetriebnahme benötigt. Dieser Beitrag stellt ein Konzept für eine umfassende virtuelle Absicherung des industriellen „Griffs in die Kiste“ vor.   Robotic systems with intelligent algorithms for object detection, motion planning and motion control are used in bin picking. Various software tools which deal with the control of such systems, are available on the market. To manage the increasing complexity and to optimize the design of the systems, a simulation-based tool is required for simulation-based commissioning. This paper presents a concept for a comprehensive virtual security solution for industrial bin picking.

Motion Planning Method for In-Pipe Walking Robots Using Height Maps and CNN-Based Pipe Branches Detector

2019 ◽  
pp. 1-24
Author(s):  
Sergei Savin
Keyword(s):  
Neural Networks ◽  
Motion Planning ◽  
Prediction Accuracy ◽  
Planning Method ◽  
Walking Robots ◽  
Walking Robot ◽  
Deep Convolutional Neural Networks ◽  
Sequence Generation ◽  
Simulation Based ◽  
Inner Surface

In this chapter, the problem of motion planning for an in-pipe walking robot is studied. One of the key parts of motion planning for a walking robot is a step sequence generation. In the case of in-pipe walking robots it requires choosing a series of feasible contact locations for each of the robot's legs, avoiding regions on the inner surface of the pipe where the robot cannot step to, such as pipe branches. The chapter provides an approach to localization of pipe branches, based on deep convolutional neural networks. This allows including the information about the branches into the so-called height map of the pipeline and plan the step sequences accordingly. The chapter shows that it is possible to achieve prediction accuracy better than 0.5 mm for a network trained on a simulation-based dataset.

scholarly journals Multilevel Simulation Based Policy Iteration for Optimal Stopping--Convergence and Complexity

2015 ◽  
Vol 3 (1) ◽  
pp. 460-483 ◽  
Author(s):  
Denis Belomestny ◽  
Marcel Ladkau ◽  
John Schoenmakers
Keyword(s):  
Optimal Stopping ◽  
Policy Iteration ◽  
Simulation Based

scholarly journals Simulation-based comparison between two crane-bunk systems for loading work when considering energy-optimal motion planning

2019 ◽  
Vol 31 (1) ◽  
pp. 70-77
Author(s):  
Xiaowei Dong ◽  
Omar Mendoza-Trejo ◽  
Daniel Ortiz Morales ◽  
Ola Lindroos ◽  
Pedro La Hera
Keyword(s):  
Motion Planning ◽  
Optimal Motion ◽  
Simulation Based ◽  
Optimal Motion Planning
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