2026年のロボティクス・自動運転界隈
🏗️ 3D再構成・SLAMが最多(29件/75件) 🔧 OSS・ツールが前年比+100%と急成長 🏗️ 3D再構成・SLAMが最高反響(平均♥146)
75
ポスト数
3ヶ月
♥8,260
累計いいね
平均♥110/投稿
RT1,182
累計RT
平均16/投稿
🏗️
3D再構成・SLAM
29件 (39%)

📊 2025年との比較

📉 投稿数
227 → 75
-67%
📈 平均いいね
♥90 → ♥110
+22%
🚀 最も伸びたカテゴリ
🔧 OSS・ツール
+100%
カテゴリ別前年比の詳細 | カテゴリ | 2025年 | 2026年 | 変化 | |:---------|--------:|--------:|-----:| | 🏗️ 3D再構成・SLAM | 119 | 29 | -76% | | 🚗 自動運転 | 32 | 5 | -84% | | 🤖 ロボティクス | 18 | 5 | -72% | | 🧠 VLA・Foundation Model | 13 | 10 | -23% | | 📄 論文紹介 | 14 | 6 | -57% | | 🔧 OSS・ツール | 2 | 4 | +100% | | 💬 その他 | 29 | 16 | -45% |

📅 月別カテゴリ推移

月ごとのカテゴリ分布の変化です。

🏗️ 🚗 🤖 🧠 📄 🔧 💬 平均♥
1月 10 2 3 2 1 · 2 20 133
2月 8 · 1 5 3 · 3 20 150
3月 11 3 1 3 2 4 11 35 75

🏅 カテゴリ別ベスト

各カテゴリで最もいいねが多かったポストです。

🏗️ 3D再構成・SLAM
insight-sam3 Uses SAM3 to transfer 2D semantics onto 3D point clouds, producing segmented training data and efficient sc...
♥ 468 / RT 66
🚗 自動運転
alpamayo-autoware Alpamayo ROS 2 Node Usage Guide
♥ 174 / RT 29
🤖 ロボティクス
Primitive_Planner Primitive-Swarm: An Ultra-lightweight and Scalable Planner for Large-scale Aerial Swarms
♥ 77 / RT 13
🧠 VLA・Foundation Model
Describe Anything, Anywhere, at Any Moment DAAAM builds a hierarchical 4D scene graph as spatio-temporal memory, enablin...
♥ 484 / RT 76
📄 論文紹介
Paper2Rebuttal RebuttalAgent: AI-Powered Academic Paper Rebuttal Assistant RebuttalAgent is an AI-powered multi-agent sy...
♥ 306 / RT 42
🔧 OSS・ツール
今のロボティクス系ossの新潮流ってなんやろ
♥ 19 / RT 0
💬 その他
EgoX: Egocentric Video Generation from a Single Exocentric Video
♥ 852 / RT 108

🏆 年間トップ10

1位 💬

♥ 852 / RT 108 / 221,000 views — 2026-02-09

EgoX: Egocentric Video Generation from a Single Exocentric Video

🔗 ポストを見る


2位 🧠

♥ 484 / RT 76 / 21,000 views — 2026-03-10

Describe Anything, Anywhere, at Any Moment DAAAM builds a hierarchical 4D scene graph as spatio-temporal memory, enabling embodied agents to describe anything, anywhere, at any moment.

🔗 ポストを見る


3位 🏗️

♥ 468 / RT 66 / 20,000 views — 2026-02-11

insight-sam3 Uses SAM3 to transfer 2D semantics onto 3D point clouds, producing segmented training data and efficient scene graphs for indoor environments.

🔗 ポストを見る


4位 🧠

♥ 400 / RT 65 / 21,000 views — 2026-01-18

SpatialLLM:Enhancing Large Language Models for Urban Spatial Intelligence SpatialLLM is a comprehensive framework for enhancing Large Language Models with urban spatial understanding capabilities. Thi…

🔗 ポストを見る


5位 📄

♥ 306 / RT 42 / 24,000 views — 2026-02-09

Paper2Rebuttal RebuttalAgent: AI-Powered Academic Paper Rebuttal Assistant RebuttalAgent is an AI-powered multi-agent system that helps researchers craft high-quality rebuttals for academic paper revi…

🔗 ポストを見る


6位 🏗️

♥ 276 / RT 43 / 11,000 views — 2026-01-30

OpenNavMap Structure-Free Topometric Mapping via Large-Scale Collaborative Localization OpenNavMap is a lightweight, structure-free topometric mapping system that enables large-scale collaborative loc…

🔗 ポストを見る


7位 💬

♥ 250 / RT 34 / 15,000 views — 2026-01-22

openvps Open Visual Positioning Service

🔗 ポストを見る


8位 🏗️

♥ 240 / RT 31 / 14,000 views — 2026-03-04

supersplat 3D Gaussian Splat Editor The SuperSplat Editor is a free and open source tool for inspecting, editing, optimizing and publishing 3D Gaussian Splats. It is built on web technologies and runs…

🔗 ポストを見る


9位 🏗️

♥ 235 / RT 36 / 16,000 views — 2026-02-20

[ICLR 2026] FantasyWorld: Geometry-Consistent World Modeling via Unified Video and 3D Prediction FantasyWorld is a unified feed-forward model for joint video and 3D scene generation. The front end emp…

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10位 🏗️

♥ 227 / RT 33 / 12,000 views — 2026-02-27

Pixie: Physics from Pixels Feed-forward model for predicting 3D physics with 3DGS + NeRF Photorealistic 3D reconstructions (NeRF, Gaussian Splatting) capture geometry & appearance but lack physics. Th…

🔗 ポストを見る