Commenced in January 2007
Paper Count: 31440
Model of Obstacle Avoidance on Hard Disk Drive Manufacturing with Distance Constraint
Abstract:Obstacle avoidance is the one key for the robot system in unknown environment. The robots should be able to know their position and safety region. This research starts on the path planning which are SLAM and AMCL in ROS system. In addition, the best parameters of the obstacle avoidance function are required. In situation on Hard Disk Drive Manufacturing, the distance between robots and obstacles are very serious due to the manufacturing constraint. The simulations are accomplished by the SLAM and AMCL with adaptive velocity and safety region calculation. Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 162
 O. Lima and R. Ventura, “A Case Study on Automatic Parameter Optimization of a Mobile Robot Localization Algorithm", IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Apr 2017.
 Tiancheng Li, Shudong Sun and Jun Duan, “Monte Carlo Localization for Mobile Robot Using Adaptive Particle Merging and Splitting Technique", Proceedings of the 2010 IEEE International Conference on Information and Automation, Jun 2010.
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 Arne-Christoph Hildebrandt, Moritz Klischat, Daniel Wahrmann, Robert Wittmann, Felix Sygulla, Philipp Seiwald, Daniel Rixen, and Thomas Buschmann, "Real-Time Path Planning in Unknown Environments for Bipedal Robots", IEEE Robotics and Automation Letters, Vol.2, No.4, Oct 2017, pp. 1856-1863.
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 An Wan, Jing Xu, Heping Chen, Song Zhang, and Ken Chen, "Optimal Path Planning and Control of Assembly Robots for Hard-Measuring Easy-Deformation Assemblies", IEEE/ASME Transactions on Mechatronics, Vol. 22, No. 4, Aug 2017, pp. 1600-1609.
 Jacopo Banfi, Nicola Basilico, and Francesco Amigoni, "Intractability of Time-Optimal Multirobot Path Planning on 2D Grid Graphs with Holes", IEEE Robotics and Automation Letters, Vol. 2, No. 4, Oct 2017, pp. 1941-1947.
 Patrick Grosch and Federico Thomas, "Geometric Path Planning Without Maneuvers for Nonholonomic Parallel Orienting Robots", IEEE Robotics and Automation Letters, Vol. 1, No. 2, Jul 2016, pp. 1066-1072.
 Ren C. Luo and Chen-Wen Kuo, "Intelligent Seven-DoF Robot With Dynamic Obstacle Avoidance and 3-D Object Recognition for Industrial Cyber–Physical Systems in Manufacturing Automation", Proceedings of the IEEE, Vol. 104, No. 5, May 2016, pp. 1102-1113.
 Hongjiu Yang, Xiaozhao Fan,Peng Shi, and Changchun Hua, "Nonlinear Control for Tracking and Obstacle Avoidance of a Wheeled Mobile Robot with Nonholonomic Constraint", IEEE Transactions on Control Systems Technology, Vol. 24, No. 2, Mar 2016, pp. 741-746.
 Cheol-Joong Kim, and Dongkyoung Chwa, "Obstacle Avoidance Method for Wheeled Mobile Robots Using Interval Type-2 Fuzzy Neural Network", IEEE Transactions on Fuzzy Systems, Vol. 23, No. 3, Jun 2015, pp. 677-687.
 Motoyasu Tanaka, Kazuyuki Kon, and Kazuo Tanaka, "Range-Sensor-Based Semiautonomous Whole-Body Collision Avoidance of a Snake Robot", IEEE Transactions on Control Systems Technology, Vol. 23, No.5, Sep 2015, pp. 1927-1934.
 Flacco Fabrizio and Alessandro De Luca, Real-Time Computation of Distance to Dynamic Obstacles with Multiple Depth Sensors", IEEE Robotics and Automation Letters, Vol. 2, No.5, Jan 2015, pp. 56-63.