Hybrid robotic motion planning system using machine learning and parametric trajectories
US11833691B2 · kind B2 · utility
1Cited by
4References
20Claims
0Family size
Assignee
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Key dates
| Filing date | Mar 30, 2021 |
| Grant date | Dec 5, 2023 |
| Priority date | — |
| Expiry date | Nov 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/40499
- WIPO fieldHandling
- WIPO sectorMechanical engineering
Abstract
In one embodiment, a method includes accessing a trajectory plan for a task to be executed by a robotic system, determining actions to constrain the trajectory plan based on information associated with an environment associated with the robotic system, wherein pose-based waypoints and joint positions of the robotic system would be constrained by the actions, determining joint-based waypoints for the trajectory plan based on the pose-based waypoints, and executing the task based on the joint-based waypoints for the trajectory plan.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.