Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

A method comprises: a lawn mower robot driving to set a boundary of a target work area in which at least three anchors are installed on the boundary; the lawn mower robot receiving a signal from the anchors and setting, as a shadow area, an area where the signal cuts off; the lawn mower robot returning to an initial position and storing driving information received from the anchors transmitting, to a simulator, the driving information and information on the shadow area and the target work area; generating, by the simulator, an obstacle map based on the shadow area of each anchor; the simulator overlapping an externally provided map and the obstacle map, and outputting the same on a screen; and recommending, to a user, positions at which the size of the shadow areas identified within the target work area can be minimized.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

An autonomous travelling robot switches between a straight running and turning according to a rotation speed difference between a pair of drive wheels driven by individual electric actuators supplied electric power from a battery, along a target trajectory. The autonomous travelling robot is controlled by monitoring a running restriction that includes an electric power restriction of the battery; and restricting a maximum turning speed, which is a maximum speed when turning with a minimum turning radius, to be smaller than a maximum straight-running speed, which is a maximum speed when straight-running, according to an establishment of a condition in the running restriction.

The present disclosure relates to an automatic detection system and an automatic detection method for an enclosed space. The automatic detection system includes: an interactive device; a movable platform; an environment perceiving device; a defect detection device; a memory; and a processing device. The processing device is configured to process the environmental data of the environment perceiving device to control the movable platform and the defect detection device, and process the detection data generated by the defect detection device to generate a detection report. The interactive device, the environment perceiving device, the defect detection device, the memory and the processing device are installed on the movable platform, and the interactive device can be operated to identify the enclosed space and enable the automatic detection system to automatically perform detection in an automatic detection mode based on the digital mock-up data of the enclosed space.

The present disclosure relates generally to flight control of electric aircraft and other powered aerial vehicles. In one embodiment, a method is disclosed, comprising: receiving a descent rate command from a pilot input device, determining a proximity of each propeller of at least two propellers to a vortex ring state; and controlling the aircraft's descent rate to be less than the commanded descent rate when at least one of the at least two propellers is within a first threshold proximity to the vortex ring state.

A lawnmower is instructed to move from a reference point along the boundary wire and to follow the boundary wire along a boundary path back to the reference point, using data from at least one wire sensor of the lawnmower. One or more elements are determined along the boundary path using distance data from at least one distance sensor of the lawnmower and using angular velocity data from at least one direction sensor of the lawnmower. The one or more elements are identified as one of at least three different types of elements. The mowing area is calculated from the identified types of the one or more elements and the distance data and angular velocity data received for the one or more elements. Other important features are obtained from the calculation of the mowing area including, but not limited to, multiple starting points and a parallel mowing pattern.

A method includes receiving, while a robot traverses a building environment, sensor data captured by one or more sensors of the robot. The method includes receiving a building information model (BIM) for the environment that includes semantic information identifying one or more permanent objects within the environment. The method includes generating a plurality of localization candidates for a localization map of the environment. Each localization candidate corresponds to a feature of the environment identified by the sensor data and represents a potential localization reference point. The localization map is configured to localize the robot within the environment when the robot moves throughout the environment. For each localization candidate, the method includes determining whether the respective feature corresponding to the respective localization candidate is a permanent object in the environment and generating the respective localization candidate as a localization reference point in the localization map for the robot.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.