Preview

Mekhatronika, Avtomatizatsiya, Upravlenie

Advanced search

Visual Estimation of the Reconfigurable Mobile Robot Locomotion Effectiveness

Abstract

In this paper we suggest estimation results for the reconfigurable mobile robot locomotion effectiveness. All estimations are performed via visual analysis of the virtual modelling results. In virtual modelling scenarios mobile robot were traversing through a space with consequently assembled obstacles of five main types: slope, ledge, step, stones, and tube array. Further we describe two robotic platform configurations: tracked and wheeled. Each mobile device is assembled from a set of specialized modules. Combining of these modules allows building different mobile (wheeled, tracked, leg-wheeled and etc.) and payload systems (sensor, manipulative). All modular subsystems have virtual representations with identical to their physical analogues mass and inertial properties. We propose two different payload types: payload for wheeled vehicle (represented with modular manipulation system) and payload for tracked vehicle (represented with video camera mounted on rotation module). Furthermore we describe control system that allows virtual model of mobile robot to move between preliminary defined waypoints. As a final result we provide sequences and following descriptions of the virtual modelling animation results. Research conclusions are made as follows: based on performed visual analysis we submit that both devices are able to traverse through rough terrain with relatively small obstacles or to climb slopes with different incline angles; our further work is focused on developing more effective mobile robot configurations and expanding the class of traversable obstacles.

About the Authors

S. V. Kharuzin
Russian State Scientific Center for Robotics and Technical Cybernetics
Russian Federation


O. A. Shmakov
Russian State Scientific Center for Robotics and Technical Cybernetics
Russian Federation


References

1. Min X., Runhuai Y., Yong C., Hongcheng X. Kinematics Modeling and Step Climbing Study of an All-Terrain Wheeled Mobile Robot on Uneven Terrains // Proc. of the 2011 IEEE International Conference on Electronic & Mechanical Engineering and Information Technology. 2011. P. 2725-2728.

2. Kyeong B. L., Jeong-Hoon K., Yong-San Y., Sang H. L., Shincheon K. Obstacle-Overcoming Algorithm for Unmanned Ground Vehicle with Actively Articulated Suspensions on Unstructured Terrain // Proc. of the 2008 IEEE International Conference on Control, Automation and Systems. 2008. P. 324-328.

3. Kyeong B. L., Jeong-Hoon K., Yong-San Y., Sang H. L., Shincheon K. Behavior planning of an unmanned ground vehicle with actively articulated suspension to negotiate geometric obstacles // Proc. of the 2009 International Conference on Intelligent Robots and Systems. 2009. P. 821-826.

4. Shuro N. Concept of Adaptive Gait for Leg-wheel Robot, RT-Mover // Proc. of the 2012 IEEE International Conference on Robotics and Biomimetics. 2012. P. 293-300.

5. Kyeong B. L., Sun J. K., Yong-San Y. Deliberative Planner for UGV with Actively Articulated Suspension to Negotiate Geometric Obstacles by Using Centipede Locomotion Pattern // Proc. of the 2010 IEEE International Conference on Control, Automation and Systems. 2010. P. 1482-1486.

6. Weidong W., Dongmei W., Wei D., Chun X., Pengfei S. The Optimization of Obstacle-Crossing and the Simulation in ADAMS of the Composite Six-wheeled-legged Robot // Proc. of the 2012 IEEE International Conference on Fuzzy Systems and Knowledge Discovery. 2012. P. 2422-2426.

7. Motoyasu T., Fumitoshi M. Modeling and Control of a Snake Robot with Switching Constraints // Proc. of the 2008 SICE Annual Conference. 2008. P. 3076-3079.

8. Wei S. C., Jason T. Simultaneous Evolutionary-Based Optimization of Controller and Morphology of Snake-like Modular Robots // Proc. of the 2014 IEEE International Conference on Artificial Intelligence with Applications in Engineering and Technology. 2014. P. 38-42.

9. Pal L., Oyvind S., Kristin Y. P. Modular Pneumatic Snake Robot: 3D Modelling, Implementation and Control // Modeling, Identification and Control. 2008. Vol. 29. P. 21-28.

10. Manuel S., Ramiro B., Tomas C. Multi-Legged Walking Robot Modelling in MATLAB/SimMechanics and its Simulation // Proc. of the 2013 IEEE EUROSIM Congress on Modelling and Simulation. 2013. P. 226-231.


Review

For citations:


Kharuzin S.V., Shmakov O.A. Visual Estimation of the Reconfigurable Mobile Robot Locomotion Effectiveness. Mekhatronika, Avtomatizatsiya, Upravlenie. 2018;19(3):169-174. (In Russ.)

Views: 823


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1684-6427 (Print)
ISSN 2619-1253 (Online)