Blar i Institutt for teknisk kybernetikk på tidsskrift "Robotics and Biomimetics"
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Bin Picking of Reflective Steel Parts using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment
(Journal article; Peer reviewed, 2018)We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution ... -
Experimental investigation of efficient locomotion of underwater snake robots for lateral undulation and eel-like motion patterns
(Journal article, 2015)Underwater snake robots offer many interesting capabilities for underwater operations. The long and slender structure of such robots provide superior capabilities for access through narrow openings and within confined ... -
Grasping virtual fish: A step towards deep learning from demonstration in virtual reality
(Journal article; Peer reviewed, 2018)We present an approach to robotic deep learning from demonstration in virtual reality, which combines a deep 3D convolutional neural network, for grasp detection from 3D point clouds, with domain randomization to generate ... -
Path following control of planar snake robots using virtual holonomic constraints: theory and experiments
(Journal article; Peer reviewed, 2014-08-28)This paper considers path following control of planar snake robots using virtual holonomic constraints. In order to present a model-based path following control design for the snake robot, we first derive the Euler-Lagrange ... -
Path following control of planar snake robots using virtual holonomic constraints: theory and experiments
(Journal article; Peer reviewed, 2014)This paper considers path following control of planar snake robots using virtual holonomic constraints. In order to present a model-based path following control design for the snake robot, we first derive the Euler-Lagrange ...