Jacob Varley

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OP-1, also known as BMP-7, is a member of the TGF-beta superfamily of proteins and was originally identified on the basis of its ability to induce new bone formation in vivo. OP-1 mRNA is found in the developing kidney and adrenal gland as well as in some brain regions (Ozkaynak et al. [1991] Biochem. Biophys. Res. Commun. 179:116-123). We have tested the(More)
The bone morphogenetic proteins (BMPs) are members of the TGF beta superfamily of growth factors. We have investigated the effects of BMP-2, BMP-4, and BMP-6 on the development of quail trunk neural crest cells in tissue culture. The presence of human recombinant BMP-2 or BMP-4 resulted in a dramatic increase in the number of tyrosine hydroxylase(More)
We have investigated the expression and regulation of the mRNAs for the type I BMP receptors, BMPR-IA and BMPR-IB, in quail embryos in vivo and in neural crest cultures in vitro. BMPR-IB mRNA was expressed in the primordial sympathetic ganglia at stage 17, soon after the first expression of Cash-1 mRNA, the avian homolog of the Drosophila transcription(More)
Previous work has demonstrated that the bone morphogenetic proteins (BMP)-2, BMP-4, and BMP-7 can promote the development of tyrosine hydroxylase (TH)-positive and catecholamine-positive cells in quail trunk neural crest cultures. In the present work, we showed that mRNA for the type I bone morphogenetic protein receptor IA (BMPR-IA) was present in neural(More)
— This work provides an architecture to enable robotic grasp planning via shape completion. Shape completion is accomplished through the use of a 3D convolutional neural network (CNN). The network is trained on our own new open source dataset of over 440,000 3D exemplars captured from varying viewpoints. At runtime, a 2.5D pointcloud captured from a single(More)
This paper presents a deep learning architecture for detecting the palm and fingertip positions of stable grasps directly from partial object views. The architecture is trained using RGBD image patches of fingertip and palm positions from grasps computed on complete object models using a grasping simulator. At runtime, the architecture is able to estimate(More)
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