Abstract: Apparatus, systems, and methods for directing an autonomous robotic vehicle such as a lawn mower relative to a work region. In some embodiments, the vehicle travels in a random pattern within a travelling containment zone of a lesser size than the work region. The travelling containment zone may move or travel across the work region such that, over time, the travelling containment zone travels over most all of a working surface of the work region.

Abstract: Apparatus, systems, and methods for directing an autonomous robotic vehicle such as a lawn mower relative to a work region. In some embodiments, the vehicle travels in a random pattern within a travelling containment zone of a lesser size than the work region. The travelling containment zone may move or travel across the work region such that, over time, the travelling containment zone travels over most all of a working surface of the work region.

Abstract: Autonomous machine navigation techniques may generate a three-dimensional point cloud that represents at least a work region based on feature data and matching data. Pose data associated with points of the three-dimensional point cloud may be generated that represents poses of an autonomous machine. A boundary may be determined using the pose data for subsequent navigation of the autonomous machine in the work region. Non-vision-based sensor data may be used to determine a pose. The pose may be updated based on the vision-based pose data. The autonomous machine may be navigated within the boundary of the work region based on the updated pose. The three-dimensional point cloud may be generated based on data captured during a touring phase. Boundaries may be generated based on data captured during a mapping phase.

Abstract: An autonomous machine may be returned to a base station for charging based on remaining battery energy and an estimated travel energy threshold. The estimated travel energy threshold may be determined based on a direct and obstacle-free route from the machine's current position to the base station and an estimated energy consumed per unit distance, which may be updated. The remaining battery energy may be calculated using a battery management system.

Abstract: A supplemental monitoring and security function and system for use with an autonomous working machine such as a robotic lawn mower. The system may use cameras associated with the machine to capture image data and transmit the data to a remote computer. The system may be utilized as a theft deterrent for the mower itself, as well as provide a mobile sentry mode for surveilling and observing a property.

Abstract: Autonomous machine navigation techniques may generate a three-dimensional point cloud that represents at least a work region based on feature data and matching data. Pose data associated with points of the three-dimensional point cloud may be generated that represents poses of an autonomous machine. A boundary may be determined using the pose data for subsequent navigation of the autonomous machine in the work region. Non-vision-based sensor data may be used to determine a pose. The pose may be updated based on the vision-based pose data. The autonomous machine may be navigated within the boundary of the work region based on the updated pose. The three-dimensional point cloud may be generated based on data captured during a touring phase. Boundaries may be generated based on data captured during a mapping phase.

Abstract: This disclosure provides an autonomous machine system having a scheduling controller configured to determine one or more windows of availability over a time period when the autonomous machine is allowed to operate to perform one or more operational tasks; determine a total operation time over the time period; and determine an operating schedule for a work region that assigns one or more operational tasks to the one or more windows of availability based on the total operation time. The autonomous machine may be commanded to operate in the work region according to the operating schedule.

Abstract: A handle assembly for an autonomous vehicle such as a lawn mower is provided and may include a cradle adapted to receive a mobile computer. The mobile computer may communicate with a controller carried by the mower. The handle assembly may be configured in both an autonomous mode position and a manual mode position. The vehicle may operate autonomously when the handle assembly is in the autonomous mode position, and be adapted to move under manual operator control, e.g., for perimeter training, when the handle assembly is in the manual mode position. Methods for training the mower and apparatus for storing the mower are also provided.

Abstract: Apparatus, systems, and methods for directing an autonomous robotic vehicle such as a lawn mower relative to a work region. In some embodiments, the vehicle travels in a random pattern within a travelling containment zone of a lesser size than the work region. The travelling containment zone may move or travel across the work region such that, over time, the travelling containment zone travels over most all of a working surface of the work region.

Abstract: Apparatus, systems, and methods for directing an autonomous robotic vehicle such as a lawn mower relative to a work region. In some embodiments, the vehicle travels in a random pattern within a travelling containment zone of a lesser size than the work region. The travelling containment zone may move or travel across the work region such that, over time, the travelling containment zone travels over most all of a working surface of the work region.

Abstract: Apparatus, systems, and methods for directing an autonomous robotic vehicle such as a lawn mower relative to a work region. In some embodiments, the vehicle travels in a random pattern within a travelling containment zone of a lesser size than the work region. The travelling containment zone may move or travel across the work region such that, over time, the travelling containment zone travels over most all of a working surface of the work region.

Abstract: Autonomous machine navigation techniques may generate a three-dimensional point cloud that represents at least a work region based on feature data and matching data. Pose data associated with points of the three-dimensional point cloud may be generated that represents poses of an autonomous machine. A boundary may be determined using the pose data for subsequent navigation of the autonomous machine in the work region. Non-vision-based sensor data may be used to determine a pose. The pose may be updated based on the vision-based pose data. The autonomous machine may be navigated within the boundary of the work region based on the updated pose. The three-dimensional point cloud may be generated based on data captured during a touring phase. Boundaries may be generated based on data captured during a mapping phase.