Abstract
Creating an autonomous mobile robot, implementing a motion planning algorithm, recognizing the object, pick and place the recognized object and followed by encapsulating all these functions in real time is a competitive task. The current study was mainly focused on developing a robot and implement graphical programming model in National Instrument’s LabVIEW platform that incorporates mobile robot path planning and obstacle avoidance in its workspace. LabVIEW program enables the robot to move from starting position to user defined destination point by avoiding static and dynamic obstacles. Path planning and collision avoidance were the two common theories applied here. An intelligent tangent bug algorithm concept was implemented for robot path planning which is reliable for switching to collision free path in its environment and controls the robot from colliding on nearby static and dynamic obstacles.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tutorial11©Robotics Club, IIT-Kanpur Introduction to Autonomous Robots IIT-Kanpur
Lenain, R., Preynat, J., Thuilot, B., Avanzini, P., Martinet, P. Cemagref.: Adaptive formation control of a fleet of mobile robots. In: Application to autonomous field operations. In: IEEE international conference on robotics and automation anchorage convention district, Anchorage, Alaska, USA. May 3–8, 2010
Bräunl, T.: EyeBot: A family of autonomous mobile robots. In: Proceedings of the 6th international conference on neural information proceeding ICONIP 99, Department of electrical and electronic engineering centre of intelligent information processing systems (CIIPS) The University of Western Australia, Perth 1999
Parag, H. Batavia., Illah Nourbakhsh.: Path planning for the cye personal robot. In: Intelligent Robots and System—IEEE/ RSJ International Conference (2002)
Lavalle, S.M.: Planning Algorithms, University of Illiinois, Published by Cambridge University Press
NI Vision IMAQ Vision Concepts Manual www.ni.com National Instruments Corporate Headquarters 11500 North Mopac Expressway Austin,Texas78759-3504 USA Tel:512683 0100
Ramisa, A., Vasudevan, S., Scharamuzza, D.: A tale of two object recognition methods for mobile robots, Published by Autonomous Systems Lab, ETH Zurich, Switzerland on 20082. Edmund imaging primer Fundamental Parameters of an Imaging System Edmund Industrial Optics (1992)
Cole, L., Austin, D.: Visual Object Recognition using Template Matching in Robotic Systems Lab, RSISE & National ICT Australia. Australian National University, Australia Canberra (2004)
Moshi, AA., Islam, E., Cynthia, SS.: A multitasking PC Based Robotic Arm Manipulator Control System in RT-Linux Environment. Dept. EEE, BRAC University, Dhaka, Bangladesh (2010)
Lin, C.J., Linchen, Y.: Path Planning of a mobile robot using real coded genetic algorithm based simulations exploration. In: Second international conference on advances in Computer Science and Engineering (CSE-2013) National Taipei University of Technology, Taipei, Taiwan-10608.
www.electronic_lab.com/atmelstudio
Mohammad, T.: Using Ultrasonic and Infrared Sensors for Distance Measurement, in World Academy of Science, Engineering and Technology 51 on 2009
Yershova, A., Steven M.La Valle.: Improving motion planning algorithm by efficient nearest neighbor searching. In: IEEE transactions on robotics/short paper-on November 18 2002
Robosoft Systems “ IR Sensor Single”
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer India
About this paper
Cite this paper
Nalini, K.M., Gondkar, R.R. (2015). Path Planning and Controlling of Autonomous Robot. In: Shetty, N., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2550-8_12
Download citation
DOI: https://doi.org/10.1007/978-81-322-2550-8_12
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2549-2
Online ISBN: 978-81-322-2550-8
eBook Packages: EngineeringEngineering (R0)