Introduction to Path Segmentation Robotic Perception
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This is an example of applied deep learning, specifically, semantic Full paper is available here: We consider the problem of navigating a mobile December 8, 2023 Luca Carlone, MIT A large gap still separates This is an example of applied deep learning, specifically semantic ThermoAct: Thermal-Aware Vision-Language-Action Models for We present Y-MAP-Net, a Y-shaped neural net-work architecture designed for real-time multi-task learning on RGB images.
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See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation
Stanford Seminar - Opening the Doors of (Robot) Perception - Luca Carlone
Stanford Seminar - Foundations of Spatial Perception for Robotics
Underground Mine Semantic Segmentation for Robotic Path Planning
ThermoAct: Thermal-Aware Vision-Language-Action Modelsfor Robotic Perception and Decision-Making
Y-MAP-Net: Learning from Foundation Modelsfor Real-Time, Multi-Task Scene Perception (ICRA 2026)
Perception-aware Path Planning for UAVs using Semantic Segmentation - IROS 2020
Explained: How Humanoid Robots Perceive the World
outdoor robot - image segmentation
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Last Updated: June 19, 2026
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