Motion-based singulation of rfid tagged object

A method for generating a motion profile for manipulating an RFID-tagged object, comprising:

• causing a robotic manipulator to grasp at least one target RFID-tagged object from a plurality of RFID-tagged objects and move the at least one target RFID-tagged object, within an operating environment;
• over time, obtaining signal strength data of signals detected from an RFID tag associated with the at least one RFID-tagged target object;
• and
• using a machine learning model to generate a motion profile for manipulating an RFID-tagged object based, at least in part, on the signal strength data obtained over time.

A system, comprising:

• one or more processors;
• memory storing contents that, when executed by the one or more processors, cause the system to:
• cause a target object of a plurality of objects to move relative to remaining objects of the plurality of objects, wherein each object of the plurality of objects is associated with a respective transponder;
• over time, obtain signal strength data of signals detected from the transponder associated with the target object;
• and
• generate a motion profile for manipulating an object based, at least in part, on the signal strength data obtained over time.

One or more non-transitory computer-readable media storing contents that, when executed by one or more processors, cause the one or more processors to perform actions comprising:

• causing at least one target object of a plurality of objects to move relative to remaining objects of the plurality of objects, wherein at least two objects of the plurality of objects are each associated with a transponder;
• over time, obtaining signal strength data of signals detected from a transponder associated with the at least one target object;
• and
• generating a motion profile for manipulating an object based, at least in part, on the signal strength data obtained over time.