Abstract:
A toy system includes a drivable surface that includes location encoding markings. A toy vehicle or mobile agent is provided that includes a drive motor, an imaging system for taking images of the markings, a vehicle wireless transceiver, and a microcontroller operatively coupled to the motor, the imaging system, and the vehicle wireless transceiver. A basestation is provided that includes a controller operatively coupled to a basestation wireless transceiver. Via wireless communication between the wireless transceivers of the toy vehicle and the basestation, an action to be implemented by the toy vehicle can be determined by the basestation and communicated to the toy vehicle, whereupon the microcontroller of the toy vehicle controls detailed movement of the toy vehicle on the drivable surface based on images taken of the markings of the drivable surface by the imaging system to cause the toy vehicle to implement the action on the drivable surface.
Abstract:
Techniques that optimize performance of simultaneous localization and mapping (SLAM) processes for mobile devices, typically a mobile robot. In one embodiment, erroneous particles are introduced to the particle filtering process of localization. Monitoring the weights of the erroneous particles relative to the particles maintained for SLAM provides a verification that the robot is localized and detection that it is no longer localized. In another embodiment, cell-based grid mapping of a mobile robot's environment also monitors cells for changes in their probability of occupancy. Cells with a changing occupancy probability are marked as dynamic and updating of such cells to the map is suspended or modified until their individual occupancy probabilities have stabilized. In another embodiment, mapping is suspended when it is determined that the device is acquiring data regarding its physical environment in such a way that use of the data for mapping will incorporate distortions into the map, as for example when the robotic device is tilted.