Irobot Corporation

Amazon Technologies, Inc.

Stephen O'Dea

Qunxi Huang

Rachid M Alameh

Mario E Munich

Benjamin H Schriesheim

Adam Goss

Kathleen Ann Mahoney

Michael Foster

Kenrick E Drew

Brian Ratta

Garrett Strobel

Vanessa Wiegel

Scott Marchant

Gopi Prashanth Gopal

Philip Fong

Cheuk Wah Wong

Youssef Saleh

Christopher Vernon Jones

Alexander D Kleiner

Andre David Brown

Marcio Macedo

Philip Wasserman

Clifton Eric Smith

Christopher V Jones

Craig S K Clapp

A method of operating an autonomous cleaning robot includes presenting, on a display of a handheld computing device, a graphical representation of a map including a plurality of selectable rooms, presenting, on the display, at least one selectable graphical divider representing boundaries of at least one of the plurality of selectable rooms, the at least one selectable graphical divider being adjustable to change at least one of the boundaries of the plurality of selectable rooms, receiving input, at the handheld computing device, representing a selection of an individual selectable graphical divider, receiving input, at the handheld computing device, representing at least one adjustment to the individual selectable graphical divider, the at least one adjustment including at least one of moving, rotating, or deleting the individual selectable graphical divider, and presenting, on the display, a graphical representation of a map wherein the individual selectable graphical divider is adjusted.

Mapping interface for mobile robots

This disclosure describes, in part, a mobile apparatus for identifying items within a facility using an omnidirectional imaging system. For instance, the mobile apparatus may include a main frame, a chassis attached to the main frame, a basket that attaches to the chassis in order to prevent the basket from contacting the main frame, and an omnidirectional imaging system providing image data in and around the mobile apparatus. A user may place item(s) within a receptacle of the basket. The mobile apparatus may further include a handlebar module attached to the main frame, the handlebar module including the omnidirectional imaging system and a computing system for identifying items and events in and around the cart.

Capacitive sensor for item identifying mobile apparatus

This disclosure describes, in part, a mobile apparatus that includes capacitive sensor(s) for detecting the presence of a user. For instance, the mobile apparatus, such as a shopping cart, may include capacitive sensor(s) located proximate to a main frame, the handles, and/or the wheel frame. The mobile apparatus may use one or more of these capacitive sensor(s) to determine that the user is located proximate to the mobile apparatus, in contact with the mobile apparatus, and/or located over the main frame of the mobile apparatus. In some examples, the mobile apparatus may then perform one or more actions based on the presence of the user. For example, the mobile apparatus may activate and/or deactivate one or more devices based on the presence of the user. This way, the mobile apparatus is able to conserve power by using the capacitive sensor(s) to detect the present of the user.

Apparatus with presence detection sensors

A method of operating an autonomous cleaning robot is described. The method includes initiating a training run of the autonomous cleaning robot and receiving, at a mobile device, location data from the autonomous cleaning robot as the autonomous cleaning robot navigates an area. The method also includes presenting, on a display of the mobile device, a training map depicting portions of the area traversed by the autonomous cleaning robot during the training run and presenting, on the display of the mobile device, an interface configured to allow the training map to be stored or deleted. The method also includes initiating additional training runs to produce additional training maps and presenting a master map generated based on a plurality of stored training maps.

Map based training and interface for mobile robots

A multi-robot system includes a first a mobile cleaning robot that has a local storage device to store a persistent map of an environment, at least one sensor to sense the environment, and a control module. The control module is configured to: control the mobile cleaning robot to navigate in the environment using the persistent map and sensing data provided by the at least one sensor, share the persistent map with a second mobile cleaning robot, and coordinate with the second mobile cleaning robot to perform cleaning tasks.

Mobile cleaning robot teaming and persistent mapping

A mobile cleaning robot that includes a drive system configured to navigate around an operational environment, a ranging device configured to communicate with other ranging devices of respective electronic devices that are in the operational environment, and processors in communication with the ranging device that are configured to receive a distance measurement from the respective electronic devices present in the operational environment, each distance measurement representing a distance between the mobile cleaning robot and a respective electronic device, tag each of the distance measurements with location data indicative of a spatial location of the mobile cleaning robot in the operational environment, determine spatial locations of each of the electronic devices in the operational environment, and populate a visual representation of the operating environment with visual indications of the electronic devices in the operating environment.

Mapping, controlling, and displaying networked devices with a mobile cleaning robot

A method includes receiving, at a mobile teleconferencing robot, a remote user input to alter a viewing state of a vision system of the robot. The vision system includes a forward imaging sensor arranged to capture a forward video feed, a right imaging sensor arranged to capture a right video feed, and a left imaging sensor arranged to capture a left video feed, each with respect to a forward drive direction of the mobile teleconferencing robot. The method includes altering the viewing state of the vision system by adjusting a tilt angle and/or a zoom level of the forward imaging sensor based on the remote user input and generating a combined video feed that provides an immersive peripheral view about the robot. The combined video feed is generated by combining the forward video feed with a portion of the right video feed and a portion of the left video feed.

Immersive video teleconferencing robot

Growing community of inventors

Bedford, MA, United States of America

Stephen O'Dea