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Industrial manipulators are machines that perform pre-programmed tasks with great accuracy and speed. The addition of intelligence through sensory perceptions would make them highly flexible in terms of performance and application. The objective of this research is to improve the performance of a six-degree of freedom industrial manipulator by introducing vision feedback and by using the data to generate its path in real time. This would enable the robot to generate its own path and alter it dynamically, based on the visual feedback. This technique will be finally used to catch a ball or pick a ball rolling on the floor. One of the industrial applications could be robotic recycling where a robot is required to pick up different objects from a moving conveyor.

Publication Date


Project Designation

Graduate Research

Primary Advisor

Raul E. Ordonez

Primary Advisor's Department

Electrical and Computer Engineering


Stander Symposium poster

Real Time Path Planning of Industrial Robots in an Unknown Environment Using Vision