Machine learning-based approaches for soft robot proprioception have recently gained popularity, in part due to the difficulties in modeling the relationship between sensor signals and robot shape.

Genetic programming (GP), has shown its superiority in learning scheduling heuristics for JSS automatically due to its flexible representation. This survey first provides comprehensive discussions of ...