Technological advancements in robot calibration make robots capable of tasks involving process forces such as machining.
Process forces on a robot cause bending and significant displacement of the tool position which has made robots difficult to program and practically infeasible for many contact applications. A major source of the inaccuracy is due to non-ideal properties in the joint which varies largely from one robot to another and has been complex to identify up until now.
Cognibotics has invented and demonstrated a robot parameter identification method that uses the motors to load the joints and the existing motor angle sensors in the robot arm to identify the critical joint and link parameters when the end effector is clamped to a fixed position in the cell. The method is both easy to use, cost effective and robust for inline integration. It brings benefits to any applications with process forces, rapid motions or high-accuracy requirements.
This technology has been demonstrated for milling with robots, which involves all three of the above aspects. We have demonstrated that we can accurately compute the deformed toolpath due to process forces and adjust the commanded motion in order to achieve tolerances several times better than previously possible.
- Understand how elasto-dynamic properties of a robot manipulator cause loss of process accuracy
- Identify manufacturing processes which can be automated with improved robot motion control and calibration
- Asses the feasibility of robot machining at their production plants
Why Is It Important?
Industrial robots have the benefits of high reach and reorientation in a large volume workspace at a fairly low cost. However existing robot solutions have not been able to achieve the performance needed for most machining processes. New technology developed by Cognibotics provides the missing component for how to improve robot performance and make standard robots capable of machining in industrial production. The technology is of high relevance for aerospace and defense manufacturers because of the potential to cut costs, reduce setup time, improve both production efficiency and quality as well as removing hazardous work condition for large part manufacturing.