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State Estimation for Tensegrity Robots., , , and . CoRR, (2015)SystemC-AMS Modeling of an Electromechanical Harvester of Vibration Energy., and . FDL, page 99-104. IEEE, (2008)NoRML: No-Reward Meta Learning., , , , and . AAMAS, page 323-331. International Foundation for Autonomous Agents and Multiagent Systems, (2019)SystemC-AMS Heterogeneous Modeling of a Capacitive Harvester of Vibration Energy., , and . BMAS, page 142-147. IEEE, (2008)Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networks., , and . ICRA, page 4252-4257. IEEE, (2015)Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics., , and . Front. Neurorobot., (2015)System design and locomotion of SUPERball, an untethered tensegrity robot., , , , , , , and . ICRA, page 2867-2873. IEEE, (2015)Data Efficient Reinforcement Learning for Legged Robots., , , , , and . CoRR, (2019)Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures., , , and . Artif. Life, 19 (1): 35-66 (2013)The spectral radius remains a valid indicator of the Echo state property for large reservoirs., , , and . IJCNN, page 1-6. IEEE, (2013)