image inputs, conv w LSTM

Thanks for your examples and explanation regarding use of RNN with a LSTM.

I have a robotics application that takes as input an image and vector of imu measurements. I'm wondering if you have an idea about how to incorporate a time sequence of images, imu, into a network that uses conv2d layers and dense layers as input?
