Design and control of tensegrity robots for locomotion

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Design and control of compliant tensegrity robots through simulation and hardware validation (2014, methodology): “using traditional approaches have led some researchers to consider biologically-inspired evolutionary or coevolutionary algorithms [1, 27, 28, 29].”
Tensegrity frameworks: Dynamic analysis review and open problems (2009, methodology): “In this case Paul and Lipson [62], Paul et al. [ 63 ] used genetic algorithms to evolve the activation sequence of the actuators and the duration and magnitude of its motion to achieve the desired behavior of the structure, and find out that multiple solutions were possible.”
Towards a theoretical foundation for morphological computation with compliant bodies (2011, background): “For a number of examples and a general discussion of morphological computation, we refer to Pfeifer and Bongard (2007). Inspired by that idea, different robots have been designed.”
Form-finding of tensegrity structures with multiple states of self-stress (2011, background): “Over the past few decades, tensegrity structures first proposed by Fuller [1] have attracted considerable attention in a wide variety of fields including aerospace [2], architecture [3,4], civil engineering [5,6], biology [7–9], mathematics [10,11] and robotics [12,13].”