Irobot Corporation

Boston Dynamics, Inc.

Brian Yamauchi

Andrew Beaulieu

Paul C Balutis

Erik Steltz

Brian W Doughty

Alec Likhite

Karl Jeffrey Karlson

Dominic Hugh Jones

Christopher Vernon Jones

Christopher Geyer

Sanjiv Singh

Earl Clyde Cox

Scott Raymond Lenser

Matthew Jacob Klingensmith

Adam Komoroski

Benjamin Grocholsky

Mark Bourne Moseley

Kent Conway Massey

David Aaron Lafferty

Carol Carlin Cheung

Methods and apparatus for navigating a robot along a route through an environment, the route being associated with a mission, are provided. The method comprises identifying, based on sensor data received by one or more sensors of the robot, a set of potential obstacles in the environment, determining, based at least in part on stored data indicating a set of footfall locations of the robot during a previous execution of the mission, that at least one of the potential obstacles in the set is an obstacle, and navigating the robot to avoid stepping on the obstacle.

Ground clutter avoidance for a mobile robot

A computer-implemented method when executed by data processing hardware causes the data processing hardware to perform operations. The operations include receiving a navigation route for a mobile robot. The navigation route includes a sequence of waypoints connected by edges. Each edge corresponds to movement instructions that navigate the mobile robot between waypoints of the sequence of waypoints. While the mobile robot is traveling along the navigation route, the operations include determining that the mobile robot is unable to execute a respective movement instruction for a respective edge of the navigation route due to an obstacle obstructing the respective edge, generating an alternative path to navigate the mobile robot to an untraveled waypoint in the sequence of waypoints, and resuming travel by the mobile robot along the navigation route. The alternative path avoids the obstacle.

Directed exploration for navigation in dynamic environments

A method of mowing with an autonomous robot lawnmower includes traversing a mowable area with the autonomous robot lawnmower carrying a cutter and a vegetation characteristic sensor. The vegetation characteristic sensor is configured to generate sensor data in response to detecting a vegetation characteristic of the mowable area. The vegetation characteristic is selected from the group consisting of a moisture content, a grass height, and a color. The method includes storing position-referenced data representing the vegetation characteristic detected across the mowable area. The position-referenced data is based at least in part on the sensor data and position data. The method includes sending data to a remote device to cause the remote device to display a map including information based on the position-referenced data.

Controlling robotic lawnmowers

A method of mowing multiple areas includes training a robotic mower to mow at least two areas separated by a space, including moving the robotic mower about the areas while storing data indicative of location of boundaries of each area relative to boundary markers, training the robotic mower to move across the space separating the areas, and initiating a mowing operation. Training the robotic mower to move across the space separating the areas includes moving the robotic mower to a traversal launch point of a first of the areas and moving the robotic mower to a traversal landing point of a second of the areas. The mowing operation causes the robotic mower to move to the traversal launch point, move from the traversal launch point across the space to the traversal landing point, and then mow the second of the areas.

Robotic mowing of separated lawn areas

A method of mowing an area with an autonomous mowing robot comprises storing, in non-transient memory of the robot, a set of geospatially referenced perimeter data corresponding to positions of the mowing robot as the mowing robot is guided about a perimeter of an area to be mowed, removing from the set of perimeter data one or more data points thereby creating a redacted data set and controlling the mowing robot to autonomously mow an area bounded by a boundary corresponding to the redacted data set, including altering direction of the mowing robot at or near a position corresponding to data in the redacted data set so as to redirect the robot back into the bounded area.

Robotic lawn mowing boundary determination

A method of mapping an area to be mowed with an autonomous mowing robot comprises receiving mapping data from a robot lawnmower, the mapping data specifying an area to be mowed and a plurality of locations of beacons positioned within the area to be mowed, and receiving at least first and second geographic coordinates for first and second reference points that are within the area and are specified in the mapping data. The mapping data is aligned to a coordinate system of a map image of the area using the first and second geographic coordinates. The map image is displayed based on aligning the mapping data to the coordinate system.

Robot lawnmower mapping

A method performed by a mobile lawn mowing robot includes pairing a beacon with the mobile lawn mowing robot. Pairing the beacon with the mobile lawn mowing robot includes determining a distance between the beacon and the mobile lawn mowing robot and confirming that the beacon is within a pairing distance from the mobile lawn mowing robot based on a comparison of the determined distance to a pairing distance. Pairing the beacon with the mobile robot lawn mowing robot further includes, subsequent to confirming that the beacon is within the pairing distance from the mobile lawn mowing robot, pairing the beacon with the mobile lawn mowing robot, and, following pairing, detecting wideband or ultra-wideband signals from the beacon, and using the wideband or ultra-wideband signals to enable navigation over an area.

Pairing a beacon with a mobile robot

Controlling robotic lawnmowers based on fluctuating weather conditions

Growing community of inventors

Boston, MA, United States of America

Brian Yamauchi