Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: iros

Direktori bahasa Inggris

SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

584
Stars
71/100
Kepercayaan
Kategori: robotics-iotAudit

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

1.8K
Stars
68/100
Kepercayaan
Kategori: ml-automationAudit

[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

686
Stars
71/100
Kepercayaan
Kategori: robotics-iotAudit

[IROS'25] Source code for "RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration"

131
Stars
70/100
Kepercayaan
Kategori: robotics-iotAudit

[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.

473
Stars
65/100
Kepercayaan
Kategori: robotics-iotAudit

[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot

243
Stars
67/100
Kepercayaan
Kategori: robotics-iotAudit

[IROS 2025] A Robust Tightly-Coupled RGBD-Inertial and Legged Odometry Fusion SLAM for Dynamic Legged Robotics

139
Stars
69/100
Kepercayaan
Kategori: robotics-iotAudit

Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.

657
Stars
60/100
Kepercayaan
Kategori: robotics-iotAudit

[IROS 2024] 📈 RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective

154
Stars
64/100
Kepercayaan
Kategori: robotics-iotAudit

[IROS 25] Leveraging Semantic Graphs for Efficient and Robust LiDAR SLAM

146
Stars
65/100
Kepercayaan
Kategori: robotics-iotAudit

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

423
Stars
59/100
Kepercayaan
Kategori: robotics-iotAudit

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

365
Stars
63/100
Kepercayaan
Kategori: robotics-iotAudit