Systems and methods presented herein include a robotic wearable device testing system with a track drive system that includes one or more tracks having a plurality of attachment pads configured to attach to one or more wearable devices. Each track of the one or more tracks is configured to move along a path defined by the track. In addition, the robotic wearable device testing system includes a tap point drive system that includes one or more tap point sliders configured to slide laterally with respect to the track drive system. Each tap point slider of the one or more tap point sliders includes a tap point configured to wirelessly communicate with the one or more wearable devices when the one or more wearable devices are in close proximity with the tap point. Each tap point slider of the one or more tap point sliders also includes an electronic interference door configured to block wireless signals between the one or more wearable devices and the tap point. The robotic wearable device testing system also includes control circuitry configured to control relative movement of the one or more tracks and the one or more tap point sliders to position one or more wearable devices attached to respective attachment pads of the plurality of attachment pads in close proximity with a tap point of the one or more tap point sliders, and to control movement of the electronic interference door to allow or block the wireless signals between the one or more wearable devices and the tap point of the one or more tap point sliders.

The present approach relates to integrated planning of robot navigation and manipulator motion in performing tasks. In particular, as discussed herein sensor information, such as visual information, may be used for the robot to locate a target object when it arrives at a working location. Adjustments may be made based on this information that may include moving the robot and planning a manipulator arm motion.

Systems and methods presented herein include a robotic wearable device testing system with a track drive system that includes one or more tracks having a plurality of attachment pads configured to attach to one or more wearable devices. Each track of the one or more tracks is configured to move along a path defined by the track. In addition, the robotic wearable device testing system includes a tap point drive system that includes one or more tap point sliders configured to slide laterally with respect to the track drive system. Each tap point slider of the one or more tap point sliders includes a tap point configured to wirelessly communicate with the one or more wearable devices when the one or more wearable devices are in close proximity with the tap point. Each tap point slider of the one or more tap point sliders also includes an electronic interference door configured to block wireless signals between the one or more wearable devices and the tap point. The robotic wearable device testing system also includes control circuitry configured to control relative movement of the one or more tracks and the one or more tap point sliders to position one or more wearable devices attached to respective attachment pads of the plurality of attachment pads in close proximity with a tap point of the one or more tap point sliders, and to control movement of the electronic interference door to allow or block the wireless signals between the one or more wearable devices and the tap point of the one or more tap point sliders.

The present approach relates to integrated planning of robot navigation and manipulator motion in performing tasks. In particular, as discussed herein sensor information, such as visual information, may be used for the robot to locate a target object when it arrives at a working location. Adjustments may be made based on this information that may include moving the robot and planning a manipulator arm motion.

In an approach to non-functional requirement stimulus testing of a robot, one or more computer processors receive one or more stimulus parameters to test. The one or more computer processors trigger the one or more stimulus parameters in the robot. The one or more computer processors determine at least one response time to the one or more stimulus parameters.