Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33121
Trajectory Planning Design Equations and Control of a 4 - axes Stationary Robotic Arm
Authors: T.C. Manjunath,
Abstract:
This paper features the trajectory planning design of a indigenously developed 4-Axis SCARA robot which is used for doing successful robotic manipulation task in the laboratory. Once, a trajectory is being designed and given as input to the robot, the robot's gripper tip moves along that specified trajectory. Trajectories have to be designed in the work space only. The main idea of this paper is to design a continuous path trajectory model for the indigenously developed SCARA robot arm during its maneuvering from one point to another point (during pick and place operations) in a workspace avoiding all the obstacles in its path of motion.Keywords: SCARA, Trajectory, Planning.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1335438
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 4225References:
[1] Robert, J. S., Fundamentals of Robotics - Analysis and Control, PHI, New Delhi.
[2] Klafter, Thomas and Negin, Robotic Engineering, PHI, New Delhi.
[3] Fu, Gonzalez and Lee, Robotics: Control, Sensing, Vision and Intelligence, McGraw Hill.
[4] Groover, Weiss, Nagel and Odrey, Industrial Robotics, McGraw Hill.
[5] Ranky, P. G., C. Y. Ho, Robot Modeling, Control & Applications, IFS Publishers, Springer, UK.
[6] Crane, Joseph Duffy, Kinematic Analysis of Robotic Manipulators, Cambridge Press, UK.
[7] Manjunath, T.C., (2005), Fundamentals of Robotics, Fourth edn., Nandu Publishers, Mumbai.
[8] Manjunath, T.C., (2005), Fast Track to Robotics, Third edn., Nandu Publishers, Mumbai.
[9] P G Ranky and C Y Ho, Robot Modeling, control and applications, IFS publishers, Springer, UK.
[10] Aleotti, J.. and Caselli, S., ''Robust trajectory learning and approximation for robot programming by demonstration,'' Robotics and Autonomous Systems, Vol. 54, Issue 5, pp. 409-413, 2006.
[11] Tamás Kalmár-Nagy, Raffaello D'Andrea and Pritam Ganguly Near-optimal dynamic trajectory generation and control of an omnidirectional vehicle, Robotics and Autonomous Systems, Vol. 46, Issue 1, pp. 47-64, 2004.
[12] Capi, G., Kaneko, S., Mitobe, K., Barolli, L. and Nasu, Y.,''Optimal trajectory generation for a prismatic joint biped robot using genetic algorithms,'' Robotics and Autonomous Systems, Vol. 38, Issue 2, , pp. 119-128, 2002.
[13] Jean-François Petiot, Patrick Chedmail and Jean-Yves Hascoët, ''Contribution to the scheduling of trajectories in robotics,'' Robotics and Computer-Integrated Manufacturing, Vol. 14, Issue 3, pp. 237-251, 1998.
[14] David Y. Leng and Mingyuan Chen, ''Robot trajectory planning using simulation ,'' Robotics and Computer-Integrated Manufacturing, Vol. 13, Issue 2, pp. 121-129, 1997.