text: 486,153,1489321348237119496,577537524,Pete Florence,"New 🤖 paper led by the awesome @WiYoungsun! <LINK> The paper is essentially ""using the Force* to deform neural fields"" (In this case, DeepSDF-style representations.) A cool thing here is that robots can have tactile (e.g., force-torque) sensing... <LINK> So we can do perception 👀 that fuses shape knowledge together with tactile sensing 👏, even for deformable objects. This can help do things like predict full shape deformation state, with only partial information. <LINK> Note these are *multi-modal (multi-sensory)*--input neural fields, capable of fusing both: - visual data (in this case point cloud data), and - tactile data (in this case force data) <LINK> If you've ever thought about how good humans are at fusing shape information and touch sensing, including of objects that are deforming... this work takes some initial steps towards that direction. <LINK> Just accepted to ICRA. Super happy to see @WiYoungsun's hard work pay off on the project. Led out of @NimaFazeli7's lab at Michigan, where they know a lot about tactile stuff :) . @andyzengtweets and I were lucky to be able to help out. <LINK> Also @WiYoungsun just made her Twitter account like yesterday.... if you're looking for cool new researchers to follow, she is awesome. * yes not actually the Force from Star Wars. (Btw, is it just me or are somehow Episodes 5 and 6 of Boba Fett just way better than the previous episodes?)",https://arxiv.org/abs/2202.00868,"Deformable object manipulation requires computationally efficient representations that are compatible with robotic sensing modalities. In this paper, we present VIRDO:an implicit, multi-modal, and continuous representation for deformable-elastic objects. VIRDO operates directly on visual (point cloud) and tactile (reaction forces) modalities and learns rich latent embeddings of contact locations and forces to predict object deformations subject to external contacts.Here, we demonstrate VIRDOs ability to: i) produce high-fidelity cross-modal reconstructions with dense unsupervised correspondences, ii) generalize to unseen contact formations,and iii) state-estimation with partial visio-tactile feedback ",VIRDO: Visio-tactile Implicit Representations of Deformable Objects,7,"['New 🤖 paper led by the awesome @WiYoungsun!  <LINK>\n\nThe paper is essentially ""using the Force* to deform neural fields"" (In this case, DeepSDF-style representations.)\n\nA cool thing here is that robots can have tactile (e.g., force-torque) sensing... <LINK>', 'So we can do perception 👀 that fuses shape knowledge together with tactile sensing 👏, even for deformable objects.\n\nThis can help do things like predict full shape deformation state, with only partial information. https://t.co/VAk2mACO24', 'Note these are *multi-modal (multi-sensory)*--input neural fields, capable of fusing both:\n- visual data (in this case point cloud data), and\n- tactile data (in this case force data) https://t.co/oqD23UGWYG', ""If you've ever thought about how good humans are at fusing shape information and touch sensing, including of objects that are deforming...\n\nthis work takes some initial steps towards that direction. https://t.co/JRvIXSHZpV"", ""Just accepted to ICRA.\n\nSuper happy to see @WiYoungsun's hard work pay off on the project.\n\nLed out of @NimaFazeli7's lab at Michigan, where they know a lot about tactile stuff :) .  @andyzengtweets and I were lucky to be able to help out. https://t.co/7ITlV88Q5K"", ""Also @WiYoungsun just made her Twitter account like yesterday.... if you're looking for cool new researchers to follow, she is awesome."", '* yes not actually the Force from Star Wars.\n\n(Btw, is it just me or are somehow Episodes 5 and 6 of Boba Fett just way better than the previous episodes?)']",22,02,1404