VGM-VS: Rethinking Visual Geometry Model for High-Precision Visual Servoing
cs.RO, cs.CV
Submitted: 2026-09-23
Updated: 2026-09-23
Terminology
Sources
- FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
- ViT-VS: On the Applicability of Pretrained Vision Transformer Features for Generalizable Visual Servoing
- ART-VS: Adaptive Resolution Tiling for Vision Transformer Visual Servoing
- VGGT-$\Omega$
- DFBVS: Deep Feature-Based Visual Servo
- CNSv2: Probabilistic Correspondence Encoded Neural Image Servo
- VGGT-DP: Generalizable Robot Control via Vision Foundation Models
- GP3: A 3D Geometry-Aware Policy with Multi-View Images for Robotic Manipulation
- OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer
- Reloc-VGGT: Visual Re-localization with Geometry Grounded Transformer
- DINOv3
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving