Princeton’s Computational Imaging Lab has released a paper about ‘Self-Supervised Depth Estimation from Gated Images’, a new method for generating highly detailed depth maps from a gated camera. These cameras hold promise as an alternative to scanning LiDAR sensors. Instead of sequentially scanning a scene and directly recording depth via the photon time-of-flight (as in pulsed LiDAR sensors) gated imagers encode depth in the relative intensity of a handful of gated slices, captured at megapixel resolution.
High-Performance Picking Solution
The Inther Group’s fully automated robotic picking solution Gripp (Gantry Robotic Intelligent Piece Picker) was developed with the aim of increasing picking throughput.