Samuel Okodi

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Robot operation requires a succinct interface with fewer parameters to specify. This paper presents an algorithm to interface an integrated torque control law, and human task demonstration data. The data is comprised of 6 degrees of freedom, pendant force and position data, and hand posture tracking data. The aim is to automatically specify all the required(More)
This paper presents a robust and efficient method of generating manipulation motion skill for non-force-feedback high speed constrained compliant robot motion. Using a non-structured teaching environment, the inherent task in the captured demonstration force and position data is estimated and reconstructed from three sets of complimentary models, including(More)
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