Robot posture control method, apparatus, device, medium, and program product
By acquiring RGB-D images of the garment surface and tactile sensor signals, visual and tactile feature vectors are constructed. Combined with a neural network inverse dynamics controller and a PID corrector, joint torque is dynamically adjusted, solving the problems of lack of material perception and insufficient real-time performance in existing technologies. This enables precise control and safety protection for different materials.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN PINKUO INFORMATION TECHNOLOGY CO LTD
- Filing Date
- 2026-06-11
- Publication Date
- 2026-07-17
AI Technical Summary
Existing robot posture control technology cannot accurately distinguish the mechanical properties of different materials, resulting in damage to thin materials or insufficient control gain for thick materials. Furthermore, it involves large computational loads, insufficient real-time performance, and lacks the ability to predict potential risks of exceeding limits.
By acquiring RGB-D images of the garment surface and tactile sensor signals, visual and tactile feature vectors are constructed. Combined with a neural network inverse dynamics controller and a PID corrector, joint torque commands are dynamically adjusted to achieve automatic sensing and real-time control of different materials.
It enables automatic sensing and differentiation of different materials, dynamically adjusts joint torque, improves real-time performance and safety, and reduces the risk of clothing damage.
Smart Images
Figure CN122401433A_ABST