Modeling of Leg Soil Interaction using Genetic Algorithms

Faculty Engineering Year: 2011
Type of Publication: ZU Hosted Pages:
Authors:
Journal: International Conference of the International Society for Terrain-Vehicle Systems, (ISTVS-11) International Society for Terrain-Vehicle Systems Volume:
Keywords : Modeling , , Soil Interaction using Genetic Algorithms    
Abstract:
In the field of legged robotics, the use of walking and climbing robots becomes very useful for extraterrestrial applications, e.g., collection of samples from lunar crater beds. To efficiently simulate such a space mission and to enable a
   
     
 
       

Author Related Publications

  • Mohammed Nour Abdelgawad Ahmed, "Measurement and Control of the Contact Forces between Walking Robot legs and its Environment", Japanese Society for Terramechanics, 2010 More
  • Mohammed Nour Abdelgawad Ahmed, "Using Industrial Actuators for Rapid Development of Electric Car Applications", WFB Wirtschaftsförderung Bremen, 2014 More
  • Mohammed Nour Abdelgawad Ahmed, "A simulation-based design of extraterrestrial six-legged robot system", IEEE, 2009 More
  • Mohammed Nour Abdelgawad Ahmed, "Optimal Genetic-Sliding Mode Control of VSC-HVDC Transmission Systems", Elsevier, 2015 More
  • Mohammed Nour Abdelgawad Ahmed, "Cosimulation environment for mechanical design optimization with evolutionary algorithms", IEEE, 2014 More

Department Related Publications

  • Mohammed Alsayed MohamedAli, "Two Layer Hybrid Scheme of IMO and PSO for Optimization of Local Aligner: COVID-19 as a Case Study", Springer, 2021 More
  • Ahmed Mohamed Helmy Elsadiek, "Two Layer Hybrid Scheme of IMO and PSO for Optimization of Local Aligner: COVID-19 as a Case Study", Springer, 2021 More
  • Ahmed Mohamed Helmy Elsadiek, "A Novel Hybrid Gradient-Based Optimizer and Grey Wolf Optimizer Feature Selection Method for Human Activity Recognition Using Smartphone Sensors", Multidisciplinary Digital Publishing Institute, 2021 More
  • Ibrahiem Elsayed Mohamed Zedan, "An Efficient Convolutional Neural Network Classification Model for Several Sign Language Alphabets", (The Science and Information Organization (SAI, 2023 More
  • Amro Ahmed Ismail Morsy , "An Efficient Convolutional Neural Network Classification Model for Several Sign Language Alphabets", (The Science and Information Organization (SAI, 2023 More
Tweet