0% Complete
صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
Temporary Goal Method: A Solution for the Problem of Getting Stuck in Motion Planning Algorithms
نویسندگان :
Danial Khan mohamad zade
1
Samaneh Hosseini Semnani
2
1- دانشکده برق و کامپیوتر، دانشگاه صنعتی اصفهان
2- دانشکده برق و کامپیوتر، دانشگاه صنعتی اصفهان
کلمات کلیدی :
collision avoidance،motion planning،mobile robot،stuck
چکیده :
One of the most important achievements of humans is robotic, which has gradually faced with many challenges in various domains with its advancement. One of the most important of these challenges is robot motion planning, To improve performance of robot motion planning both classic algorithms and learning-based algorithms have been introduced. However, these algorithms often encounter the problem of getting stuck. This article introduces a method called Temporary Goal, which adds a mechanism to any motion planning algorithm in situations where the robot is stopped and unable to move, and has a high capability to overcome this problem. This method has been implemented on the well-known RVO algorithm. The experiments conducted for the Temporary Goal method demonstrate an improvement in RVO's performance in dealing with getting stuck. In the scenarios tested in this article, this method demonstrates an average performance improvement of over 4% compared to the base RVO algorithm, which have the issue of stuck.
لیست مقالات
لیست مقالات بایگانی شده
Integral Sliding-mode H∞ Control for Isothermal CSTR Based on Singular Systems Model with Sector Input Nonlinearity
Hamid Reza Ahmadzadeh - Masoud Shafiee
Contextual Based Locality Preserving Projection for Classification of SAR Images with Multiple Polarizations
Maryam Imani
Nonlinear Observer Design via Emulation Method for Sampled-data Teleoperation Systems
Ali Firouzi Abriz - Amir Aminzadeh Ghavifekr - Ashkan Safari
بهبود تخصیص منابع لبهها در شبکه LTE مبتنی بر محاسبات لبه با رویکرد تعادل میان تاخیر و قابلیت اطمینان
ایمان عظیمی احمدآبادی - علی اکبر تدین تفت
Optimal D2D Resource Allocation in Heterogeneous Cellular Networks by Decentralized Multi-Agent Deep Q-Learning
Pouya Akhoundzadeh - Ghasem Mirjalily - Mohammad taghi Sadeghi
RSF: Reinforcement learning based hybrid split and federated learning for edge computing environments
Alireza Soleimani - Negar Anabestani - Mahmoud Momtazpour
On the Impact of Probabilistic Shaping on Fiber Nonlinearities
Ahmad Tanha - Hami Rabbani - Lotfollah Beygi
A High Linearity Wideband Low-Noise Amplifier Using Capacitor Cross-Coupled Common-Gate Structure
Abolfazl Rajaiyan - Fahimeh Rahimi - Mehdi Saberi
Forecasting Tehran Stock Exchange Trend with Time Series Analysis, Fundamental Data, and Sentiment Analysis in News
Mahdi Shamisavi - Amir Jahanshahi
Evaluating the Impact of Operation Scheduling Methods on Microgrid Reliability Using Monte Carlo Simulation
Mahsa Omri - Mohammad Jooshaki - Ali Abbaspour - Mahmud Fotuhi-Firuzabad
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.3