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Episode Overview:* In this episode, Emily dives into The project fuses Mask-RCNN and RTAB-Map to generate IROS'23 Talk for the paper: N. Zimmerman, M. Sodano, E. Marks, J. Behley, and C. Stachniss, “Constructing Metric- Cornell Univ. 2011 Spring Robot Learning course (CS 4758) final project video. For details, see: This video presents a multi-layered Presentation video for IEEE SMC 2023, Maui, Hawaii. Title: Active
IROS 2019 submission: Title: Bridging the Semantic Gap for Robots: Action-
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Talk by Sodano & Zimmerman: Constructing Metric-Semantic Maps using Floor Plan Priors... (IROS'23)
Automated Semantic Mapping of Environment
Semantic Mapping: Combining Objects, Appearance, Geometry and Topology
Active Semantic Mapping
SeMLaPS: Real time Semantic Mapping with Latent Prior Networks and Quasi Planar Segmentation
Recurrent-OctoMap: Lidar mapping with semantics
04 Semantic Mapping Objects II
Bridging the Semantic Gap for Robots: Action-Oriented Semantic Maps via Mixed Reality
Real-time indoor semantic map construction combined with the lightweight object detection network
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Last Updated: June 16, 2026
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