The feature cerebellar model arithmetic computer (FCMAC) is a multiple-input-single-output neural network which can provide three-degree-of-freedom (3-DOF) ...
Abstract. The Feature Cerehellrr Model Arithmetic Computer. (FCMAC) is a multipleinput-singleoutput neural network which can provide three-degreeof-freedom ...
C.S. Langley and G.M.T. D'Eleuterio, “ART FCMAC: A Memory Efficient Neural Network for Robotic Pose Estimation,” IEEE International Symposium on Computation and ...
Christopher S. Langley's 3 research works with 29 citations, including: ART FCMAC: A memory efficient neural network for robotic pose estimation.
A new architecture is introduced which combines the FCMAC with an adaptive resonance theory (ART) network which outperformed radial basis function networks ...
ART FCMAC: a memory efficient neural network for robotic pose estimation. C. Langley, and G. D'Eleuterio. CIRA, page 418-423. IEEE, (2003 ) ...
The FCMAC provides sufficient accuracy to enable a manipulator to grasp an object from an arbitrary pose within its workspace. The network learns an appearance- ...
ART. FCMAC: a memory efficient neural network for robotic pose estimation. IEEE International. Symposium on Computational Intelligence in. Robotics and ...
The feature space trajectory (FST) neural net is used for clas- sification and pose ... ART FCMAC: a memory efficient neural network for robotic pose estimation.
Oct 29, 2018 · For the first time, an algorithm trained only on synthetic data is able to beat a state-of-the-art network trained on real images for object ...
Missing: FCMAC: memory efficient neural