Multi-objective optimization in industrial robot design and robotic cell design

Task placement positions have significant impacts on robot performance: combined drive-train and task placement optimization explores better trade-offs between time performance and lifetime and between time performance and power consumption. Multi-objective optimization explores good insight for designers in robotic cell design. modeFRONTIER has contributed to our understanding of the robotic cell design optimization problems. We see increasing need in multi-objective optimizations in industrial robotic cell design , and robot family design.