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Found 4 papers, 2 papers with code
Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping
A crucial practical aspect for an object identification model is to be flexible in input size.
Event Camera as Region Proposal Network
The number of rods is much higher than the cones, which means that most human vision processing is done in monochrome.
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic Grasping
In this work, we are interested in open sets where the number of classes is unknown, varying, and without pre-knowledge about the objects' types.
A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning
Sensor Floor consists of 345 nodes installed across the floor of our logistic research hall with dual-band RF and Inertial Measurement Unit (IMU) sensors.
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