In this paper, we study the performance of various algorithms for fast online identification of environment
impedance during robotic contact tasks. In particular, we
evaluate and compare algorithms with regard to their convergence
rate, computational complexity and sensitivity to noise
for different environments using a single degree-of-freedom
experimental setup. The results provide some guidelines for choosing an appropriate identification algorithm for a specific
application
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