Study on Dynamics based Intelligence of Hyper-redundant Mechanical Systems with Variable Constraints

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We have extended the concept of "Dynamic based Control" of the nonlinear system to the nonholonomic hyperredundant systems. We have proposed the reinforcement learning algorithm for the hyperredundant systems based on the dynamics based control.The results obtained in the research are as follows:1. Derivation of dynamic model of hyperredundant systems with nonholonomic constraints2. Construction of model based control law for hyperredundant systems with nonholonomic constraints and experimental demonstration of effectiveness of the proposed control law3. Construction of dynamics based control law for infinite dimensional systems and experimental demonstration of effectiveness of the proposed control law for flexible mechanical systems4. Design of the reinforcement learning algorithm for the hyperredundant systems based on the dynamics based control5. Experimental demonstration of effectiveness of the proposed reinforcement learning method by using a redundant snake-like robot