Compliant, self-learning robots are of great economic importance, notably in the retail sector. Robotic learning is mostly vision-based, computationally expensive and slow. We propose a versatile and modular sensing platform with stretchable circuit technology for the instrumentation of everyday objects, to conveniently extract relevant data from the object under manipulation and thus speed up the learning process.