Safe motion planning for machinery operation
Systems and methods monitor a workspace for safety purposes using sensors distributed about the workspace. The sensors are registered with respect to each other, and this registration is monitored over time. Occluded space as well as occupied space is identified, and this mapping is frequently updated. Based on the mapping, a constrained motion plan of machinery can be generated to ensure safety.
1. A system for safely operating machinery in a three-dimensional workspace, the system comprising:
a plurality of sensors distributed about the workspace, each of the sensors being associated with a grid of pixels for recording images of a portion of the workspace within a sensor field of view, the workspace portions partially overlapping with each other; and
a controller configured to:
computationally generate a three-dimensional representation of the workspace as a plurality of 3D volumes based on the recorded images;
for each of the sensors, identify volumes within a line of sight of the sensor as occupied or unoccupied;
map one or more safe volumetric zones within the workspace based on the identified volumes;
receive a task specification; and
computationally generate a constrained motion plan comprising at least one trajectory of the machinery to perform the task within the one or more safe volumetric zones.
2. The system of claim 1 , wherein the controller is further configured to operate the machinery in accordance with the motion plan.
3. The system of claim 1 , wherein the motion plan comprises a plurality of trajectories of the machinery, the controller being further configured to:
assign a cost value to each of the trajectories;
select one of the trajectories based at least in part on the assigned cost values to the trajectories; and
cause the machinery to execute the selected trajectory.
4. The system of claim 3 , wherein the controller is further configured to assign the cost value to each of the trajectories based at least in part on a length of the trajectory, an operation time of the machinery on the trajectory, and/or allowed kinematics of the trajectory.
5. The system of claim 1 , wherein the controller is further configured to associate the one or more safe volumetric zones with a safety criterion.
6. The system of claim 5 , wherein the safety criterion corresponds to a minimum distance from a piece of the controlled machinery.
7. The system of claim 1 , wherein the one or more safe volumetric zones include only the unoccupied volumes that have been classified as unoccupied based on at least two of the sensors.
8. The system of claim 1 , wherein the constrained motion plan precludes entry into a volumetric zone outside the one or more safe volumetric zones by the machinery and any workpiece associated with the machinery or the task.
9. The system of claim 1 , wherein the controller is responsive to real-time monitoring of the workspace by the sensors and is further configured to alter the motion plan in response to a change in the one or more safe volumetric zones.
10. The safety system of claim 1 , wherein at least some of the sensors include at least one of time-of-flight sensors, 3D LIDAR sensors, or stereo vision cameras.
11. The safety system of claim 1 , wherein the controller is further configured to, upon detecting an occlusion in a line-of-sight ray path, (i) classify the volumes associated with the occlusion as occupied volumes, and (ii) classify the volumes between said each of the sensors and the occupied volumes in the line-of-sight ray path as the unoccupied volumes.
12. A method of safely operating machinery in a three-dimensional workspace, the method comprising the steps of:
monitoring the workspace with a plurality of sensors distributed thereabout, each of the sensors being associated with a grid of pixels for recording images of a portion of the workspace within a sensor field of view, the workspace portions partially overlapping with each other;
based on the recorded images, computationally generating a three-dimensional representation of the workspace as a plurality of 3D volumes stored in a computer memory;
for each of the sensors, identifying volumes within a line of sight of the sensor as occupied or unoccupied;
mapping one or more safe volumetric zones within the workspace based on the identified volumes;
receiving a task specification; and
computationally generating a constrained motion plan comprising at least one trajectory of the machinery to perform a specified task within the one or more safe volumetric zones.
13. The method of claim 12 , further comprising operating the machinery in accordance with the motion plan.
14. The method of claim 12 , wherein the motion plan comprises a plurality of trajectories of the machinery, the method further comprising:
assigning a cost value to each of the trajectories;
selecting one of the trajectories based at least in part on the assigned cost values to the trajectories; and
causing the machinery to execute the selected trajectory.
15. The method of claim 14 , wherein the cost value associated with each of the trajectories is assigned based at least in part on a length of the trajectory, an operation time of the machinery on the trajectory, and/or allowed kinematics of the trajectory.
16. The method of claim 12 , further comprising associating the one or more safe volumetric zones with a safety criterion.
17. The method of claim 16 , wherein the safety criterion corresponds to a minimum distance from a piece of the controlled machinery.
18. The method of claim 12 , wherein the one or more safe volumetric zones include only the unoccupied volumes that have been classified as unoccupied based on at least two of the sensors.
19. The method of claim 12 , wherein the constrained motion plan precludes entry into a volumetric zone outside the one or more safe volumetric zones by the machinery and any workpiece associated with the machinery or the task.
20. The method of claim 19 , further comprising real-time monitoring the workspace and altering the motion plan in response to a change in the one or more safe volumetric zones.
21. The method of claim 20 , wherein the real-time monitoring of the workspace comprises identification of a machinery element and/or workpiece performed using a neural network.
22. The method of claim 12 , further comprising, upon detecting an occlusion in a line-of-sight ray path, (i) classifying the volumes associated with the occlusion as occupied volumes, and (ii) classifying the volumes between said each of the sensors and the occupied volumes in the line-of-sight ray path as the unoccupied volumes.