AffordanceNet: An End-To-End Deep Learning Approach for Object Affordance Detection

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AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection

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Detection and grasp affordance estimation of previously unseen objects

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2015 - Staged development - Stage 2: Affordance learning - TAMD

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Affordances in Human and Computer Interaction

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MetaGrasp: Data Efficient Grasping by Affordance Interpreter Network

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Object-Based Affordances Detection with CNN and Dense CRF

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【工場見学】三菱電機シーケンサ「MELSEC」ができるまで

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MIT's Cog (1)

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Identify objects moving on a conveyor belt using Opencv with Python

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MIT Robotics - Ken Goldberg - The New Wave in Robot Grasping

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MIT Robotics - Gregory Chirikjian - Robot Imagination: Affordance-Based Reasoning Unknown Objects

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Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

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affordance theory HCI 587

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iCub - Humanoid Platform

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Robot learns like a toddler

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Week 2: James Gibson - The Theory of Affordances

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Integrated Affordance Detection and Humanoid Locomotion Planning

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Tutorial: Quick Start Manual on how to use the Affordance Template Panel

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Learning Tool Affordances without Labels

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Evaluation of Object Affordance Detection

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Iterative affordance learning with adaptive action generation

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2011 - Emre - Learning grasp affordances through parental scaffolding - Humanoids

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iCub and object affordances

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Affordance Learning from Play for Sample-Efficient Policy Learning

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Object Affordance Assignment

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Detecting Object Affordances with Convolutional Neural Networks

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