Online insertion trajectory correction for robot peg-in-hole assembly with floating targets
摘要
The Peg-in-Hole assembly is a fundamental robotic task, but in certain scenarios, contact forces can cause the target to shift, creating a floating target. Traditional methods struggle with overshoot and static errors under these conditions. We propose an iterative target position prediction strategy, utilizing force-torque sensor data to dynamically adjust for floating targets. Our approach effectively addresses the challenges of floating targets. We build a physical prototype of a Peg-in-Hole task of a floating target to test our method.