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Affordance Detection

4개 벤치마크 · 논문 29편 · 이 태스크의 논문 보기 →

Benchmarks

3D AffordanceNet

결과 1개

Most implemented

One-Shot Affordance Detection

2021-06-28 · 구현 2개

Papers

AnnotateAnything: Automatic Annotation of 3D Assets for Robot Manipulation

2026-06-16 · Haoran Lu, Mutian Shen, Shuyang Yu, Yu Xiao 외 arxiv

Simulation enables scalable robot data collection, but raw 3D assets provide only geometry, lacking the semantic, interactive, and physical knowledge needed to specify where and how robots should act. In this work, we pr…

Affordance DetectionRobot Manipulation

VoxAfford: Multi-Scale Voxel-Token Fusion for Open-Vocabulary 3D Affordance Detection

2026-05-02 · Haowen Sun, Shaolong Zhang, Mingyang Li, Chengzhong Ma 외 arxiv

Open-vocabulary 3D affordance detection requires localizing interaction regions on point clouds given novel affordance descriptions. Recent methods extend multimodal large language models (MLLMs) with special output toke…

Affordance DetectionPoint Clouds

YOLOA: Real-Time Affordance Detection via LLM Adapter

2025-12-03 · Yuqi Ji, Junjie Ke, Lihuo He, Jun Liu 외 arxiv

Affordance detection aims to jointly address the fundamental "what-where-how" challenge in embodied AI by understanding "what" an object is, "where" the object is located, and "how" it can be used. However, most affordan…

Affordance DetectionObject Detection

3D Affordance Keypoint Detection for Robotic Manipulation

2025-11-27 · Zhiyang Liu, Ruiteng Zhao, Lei Zhou, Chengran Yuan 외 arxiv

This paper presents a novel approach for affordance-informed robotic manipulation by introducing 3D keypoints to enhance the understanding of object parts' functionality. The proposed approach provides direct information…

Semantic SegmentationAffordance DetectionKeypoint Detection

Task-Aware 3D Affordance Segmentation via 2D Guidance and Geometric Refinement

2025-11-12 · Lian He, Meng Liu, Qilang Ye, Yu Zhou 외 arxiv

Understanding 3D scene-level affordances from natural language instructions is essential for enabling embodied agents to interact meaningfully in complex environments. However, this task remains challenging due to the ne…

Affordance DetectionPoint Clouds

Hanging Around: Cognitive Inspired Reasoning for Reactive Robotics

2025-07-28 · Mihai Pomarlan, Stefano De Giorgis, Rachel Ringe, Maria M. Hedblom 외 arxiv

Situationally-aware artificial agents operating with competence in natural environments face several challenges: spatial awareness, object affordance detection, dynamic changes and unpredictability. A critical challenge …

Affordance DetectionObject Recognition

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