Learning force limits of items for use in GCU optimization

An inventory management system comprising:

• at least one robotic arm assembly;
• a processor;
• and
• a memory including instructions that, when executed by the processor, cause the inventory management system to, at least:
• remove an item from a first location;
• determine a second location to receive the item, the second location determined based on an attribute of the item;
• determine a level of force to be applied to the item;
• move the item into the second location by applying the determined level of force;
• monitor a rate of change in position of the item with respect to time;
• and
• update the level of force based on the rate of change in the position of the item.

An inventory system, comprising:

• a robotic arm configured to interact with one or more inventory items;
• a processor;
• and
• a memory including instructions that, when executed by the processor, cause the inventory system to, at least:
• identify a placement location for an item associated with force limit information;
• determine a current force limit associated with the item;
• cause the robotic arm to position the item proximate to the placement location;
• cause the robotic arm to apply the current force limit to move the item against one or more additional items;
• while applying the current force limit to the item, monitor a rate of change in the position of the item with respect to time;
• calculate, based on the rate of change in the position of the item, a new force limit for the item;
• and
• update force limit information for the item with the new force limit.