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Found 7 papers, 2 papers with code
Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo Porcine Tissue
New sensing technologies and more advanced processing algorithms are transforming computer-integrated surgery.
Reconstructing Signing Avatars From Video Using Linguistic Priors
A perceptual study shows that SGNify's 3D reconstructions are significantly more comprehensible and natural than those of previous methods and are on par with the source videos.
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test
Machine learning and deep learning have been used extensively to classify physical surfaces through images and time-series contact data.
Predicting knee adduction moment response to gait retraining with minimal clinical data
Insights learned from a ground-truth dataset with both baseline and toe-in gait trials (N = 12) enabled the creation of a large (N = 138) synthetic dataset for training the predictive model.
A soft thumb-sized vision-based sensor with accurate all-round force perception
Insight has an overall spatial resolution of 0. 4 mm, force magnitude accuracy around 0. 03 N, and force direction accuracy around 5 degrees over a range of 0. 03--2 N for numerous distinct contacts with varying contact area.
The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception
We followed all six tenets to create a new robotic platform, HuggieBot 2. 0, that has a soft, warm, inflated body (HuggieChest) and uses visual and haptic sensing to deliver closed-loop hugging.
Robotics
Deep Learning for Tactile Understanding From Visual and Haptic Data
Robots which interact with the physical world will benefit from a fine-grained tactile understanding of objects and surfaces.
