A robotic object handling system comprises a robot arm, a non-contact sensor, a first station, and a computing device. The computing device is to cause the robot arm to pick up an object on an end effector, cause the robot arm to position the object within a detection area of the non-contact sensor, cause the non-contact sensor to generate sensor data of the object, determine at least one of a rotational error of the object relative to a target orientation or a positional error of the object relative to a target position based on the sensor data, cause an adjustment to the robot arm to approximately remove at least one of the rotational error or the positional error from the object, and cause the robot arm to place the object at the first station, wherein the placed object lacks at least one of the rotational error or the positional error.

A robotic object handling system comprises a robot arm, a non-contact sensor, a first station, and a computing device. The computing device is to cause the robot arm to pick up an object on an end effector, cause the robot arm to position the object within a detection area of the non-contact sensor, cause the non-contact sensor to generate sensor data of the object, determine at least one of a rotational error of the object relative to a target orientation or a positional error of the object relative to a target position based on the sensor data, cause an adjustment to the robot arm to approximately remove at least one of the rotational error or the positional error from the object, and cause the robot arm to place the object at the first station, wherein the placed object lacks at least one of the rotational error or the positional error.

A robotic object handling system comprises a robot arm, an image sensor, a first station, and a computing device. The computing device is to cause the robot arm to pick up an object on an end effector, cause the image sensor to generate sensor data of the object, determine at least one of (i) a rotational error of the object or (ii) a positional error of the object based on the sensor data, cause an adjustment to the robot arm to approximately remove at least one of the rotational error or the positional error, and cause the robot arm to place the object at the first station without at least one of the rotational error or the positional error.

A shape model of an object to be measured is held. An image of the object obtained by a first device is inputted. Range information obtained by a second device is inputted, and the range information indicates surface positions of the object. A first degradation degree of the image caused by relative motion between the object and the first device, and a second degradation degree of the range information caused by relative motion between the object and the second device are estimated. A position and/or orientation of the object is estimated based on the image and/or range information, the shape model, and the first and second degradation degrees.