# 抓取与标定文献脉络

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> 中文支持说明：本页是中文站点镜像，保留论文标题、证据状态和来源字段的原始表述，避免未经核实的翻译改变证据边界。

> 来源: `literature/06-robot-vision-grasping-calibration.md`

## Robot Vision Grasping Calibration

Status: `needs confirmation`

## Review Questions

* Which grasping methods are appropriate after a BCI-selected object ID is known?
* Should the prototype use RGB-D geometry, grasp rectangles, analytic metrics, or a learned grasp network?
* What hand-eye calibration method and validation protocol are needed?
* How should target lost, planning failure, and grasp failure be logged?

## Evidence To Extract

| Evidence Need | Candidate IDs | Status |
| --- | --- | --- |
| grasp synthesis survey | GRASP-001 | text extracted |
| grasp rectangle detection | GRASP-003 | text extracted |
| robust grasp planning | GRASP-004 | text extracted |
| closed-loop grasp synthesis | GRASP-005 | text extracted |
| hand-eye calibration | GRASP-006 | text extracted |
| large-scale hand-eye grasping | GRASP-007 | text extracted |