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We present Y-MAP-Net, a Y-shaped neural net-work architecture designed for real-time For more information about Stanford's Artificial Intelligence programs visit: To follow along with the course, ... Clips from Andrej Karpathy's talk at ICML (June 2019). I think In this work at first, I recognize the object in the scene and estimate the 6 DOF pose of that. Then I track the object by using particle ... A Human and two Robot arms (Openmanipulator-X) team up to work together in an adaptive Master-Slave This is a presentation video by Vishnunandan L. N. Venkatesh for the paper:
In this research, we propose a user-guided motion planning algorithm in combination with reinforcement
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Multitask Learning (C3W2L08)
Y-MAP-Net: Learning from Foundation Modelsfor Real-Time, Multi-Task Scene Perception (ICRA 2026)
Stanford CS330 Deep Multi-Task & Meta Learning - What is multi-task learning? I 2022 I Lecture 1
Stanford CS330 Deep Multi-Task & Meta Learning - Multi-Task Learning Basics I 2022 I Lecture 2
Andrej Karpathy: Tesla Autopilot and Multi-Task Learning for Perception and Prediction
Learning From Demonstration
Learning Shared Safety Constraints from Multi-task Demonstrations
Learning from Demonstration with Weakly Supervised Disentanglement
Adaptive Task Learning by Demonstration using two Robot Arms and one Human
Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks
[Presentation] Learning from Demonstration Framework for Multi-Robot Systems
Multirobot Learning by Demonstration - Platform Overview
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Last Updated: June 10, 2026
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