− In humanoid robot system, many human-body motions such as walking, running, jumping, etc require large power. To achieve a high power-to-weight ratio, this paper proposes a new...
Byung Rok So, Byung-Ju Yi, Whee Kuk Kim, Sang-Rok ...
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
The use of motor primitives for the generation of complex movements is a relatively new and interesting idea for dimensionality reduction in robot control. We propose a framework ...
Abstract This paper addresses a practical problem arising in the calibration of bottom-lock doppler sonar for the navigation of underwater robot vehicles. Employing a least-squares...
This paper introduces a generalized framework, termed “stochastic cloning,” for processing relative state measurements within a Kalman filter estimator. The main motivation a...