Abstract: Techniques disclosed herein relate to applying a trained constrained Markov decision process (CMDP) to control an autonomous vehicle to perform a stunt maneuver, such as a J-turn, in a safe and agile manner. The CMDP may implement a set of fuzzy logic instructions that correspond to actions needed to execute the stunt maneuver. While training the CMDP, the techniques disclosed herein may utilize a dynamic model of the autonomous vehicle that includes a model of the uncertainty introduced when implementing the stunt maneuver, such as the uncertainty in the tire-road mechanics. By utilizing a worst case scenario measure of the uncertainty during training, safe performance of the stunt maneuver is guaranteed when the trained model is applied in the real world.

Abstract: A method, a device, and a non-transitory storage medium are provided to provide an active coordinator service in a sensor network, analyze maintenance information that indicates a battery level of a device, determine whether the device can continue to provide the active coordinator service; request maintenance information from another network device in the sensor network when the battery level does not satisfy a threshold level, determine whether the other network device can provide the active coordinator service based on its maintenance information, cease providing the active coordinator service when the other network device can provide the active coordinator service, in which a long-range wireless communication interface is turned off, and enable an IoT service that includes turning on a sensor, generating sensor information, and transmitting the sensor information to the other network device.

Abstract: A device, configured as a coordinator for a wireless IoT network, may include a memory configured to store instructions and a processor configured to execute the instructions to identify Internet of Things (IoT) devices associated with the wireless IoT network; determine a clock error rate for the wireless IoT network; determine a last synchronization time; determine a data time period during which one or more of the IoT devices are expected to send data to the device; and set a wakeup time period for the device based on the determined clock error rate, last synchronization time, and data time period. The processor may be further configured to enter a sleep mode; exit the sleep mode when the wakeup time period begins; and perform a clock synchronization between the device and the plurality of IoT devices during the wakeup time period.

Abstract: A method, a device, and a non-transitory storage medium are provided to provide an active coordinator service in a sensor network, analyze maintenance information that indicates a battery level of a device, determine whether the device can continue to provide the active coordinator service; request maintenance information from another network device in the sensor network when the battery level does not satisfy a threshold level, determine whether the other network device can provide the active coordinator service based on its maintenance information, cease providing the active coordinator service when the other network device can provide the active coordinator service, in which a long-range wireless communication interface is turned off, and enable an IoT service that includes turning on a sensor, generating sensor information, and transmitting the sensor information to the other network device.