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Found 7 papers, 1 papers with code
Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data
As intelligent systems become increasingly important in our daily lives, new ways of interaction are needed.
EfficientPPS: Part-aware Panoptic Segmentation of Transparent Objects for Robotic Manipulation
The use of autonomous robots for assistance tasks in hospitals has the potential to free up qualified staff and im-prove patient care.
Learning Human-Inspired Force Strategies for Robotic Assembly
The programming of robotic assembly tasks is a key component in manufacturing and automation.
Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space
Motion planning in the configuration space (C-space) induces benefits, such as smooth trajectories.
Embodied Neuromorphic Vision with Event-Driven Random Backpropagation
In this setup, visual information is actively sensed by a DVS mounted on a robotic head performing microsaccadic eye movements.
Real-time image-based instrument classification for laparoscopic surgery
On manually provided bounding boxes, we achieve a instrument type recognition rate of up to 58% and on automatically detected bounding boxes up to 49%.
Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis
In this paper, we address this problem by presenting an unsupervised method for training a convolutional neural network (CNN) to differentiate between laparoscopic video frames on a temporal basis.
