An automatic object taking method and system based on a ros system
By generating path constraint distance sequences and cross-filtering target areas from multiple perspectives, combined with pose tracking and robotic arm path planning, the problems of path planning deviation and unstable target recognition in automatic object retrieval by robots are solved. This achieves environmentally adaptive path selection and smooth motion trajectory, improving the stability and coordination of the object retrieval process.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TEXIDA LIGHTING TECH (JIANGMEN) CO LTD
- Filing Date
- 2026-06-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for automatic object retrieval by robots in complex environments lack directional correlation and local supplementation mechanisms, resulting in deviations between path planning results and actual space. Pose updates rely on continuous accumulation, target recognition lacks temporal continuity verification, grasping is unstable, path selection focuses on a single result, trajectory changes are prone to occur during movement, increasing the risk of mechanical impact, and the movement and grasping processes lack unified constraints.
By acquiring LiDAR and ultrasonic information to form an environmental point set, and combining it with the robot's current position to generate a path constraint distance sequence, the robot tracks pose changes, maintains coordinates when stable, calls on multi-source camera information for target recognition and spatial transformation, generates a robotic arm grasping path, eliminates interfering paths, and coordinates the chassis and robotic arm to operate synchronously to complete the grasping.
It achieves continuous perception of changes in the set of environmental points, adaptive adjustment of path selection according to environmental changes, stable and continuous pose sequence, continuous target determination, directional matching features for grasping actions, smooth transition of motion trajectory, coordinated execution of movement and grasping processes, and reduces the impact of fluctuations caused by frequent corrections.
Smart Images
Figure CN122401445A_ABST