Irobot Corporation

Intouch Technologies, Inc.

Teladoc Health, Inc.

Other

Irobot Corpoartion

Flir Detection, Inc.

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Justin H Kearns

Cheuk Wah Wong

Yulun Wang

Charles Steve Jordan

Fuji Lai

James Ballantyne

Robert Todd Pack

Marco Pinter

Daniel Steven Sanchez

Blair Whitney

David Bjorn Roe

Timothy C Wright

Yair Lurie

Andy Young

Mei Sheng Ng

Bill Rizzi

Ramchandra Karandikar

Cody Herzog

Nikolai Romanov

Michael J Dooley

Chikyung Won

Mark Joseph Chiappetta

Michael J Halloran

Timothy Sturtevant Farlow

Michael T Rosenstein

Pavlo E Rudakevych

Steven V Shamlian

Emilie A Phillips

James Gordon Wolfe, Jr

Tom Frost

Paul Chambers

Eben Christopher Rauhut

Scott Raymond Lenser

Jasper Fourways Vicenti

Thomas Allen

John Cody Herzog

Aaron J Powers

Steven J Baron

Alex Y Wong

Ryan Schneider

Michael Foster

Gary Ellis Hall

Peter Lydon

Marshall J Vale

Kenrick E Drew

Brian C Benson

Christopher V Jones

Craig Michael Butterworth

Shannon Amelia Case

Josua Gonzales-Neal

David C Palafox

Nick Cuneo

Josie-Dee Seagren

Victoria Liceaga

Isaac Vandermeulen

James Jackson

David M Mcsweeney

Emilie Phillips

E Pavlo Rudakevych

An autonomous mobile robot includes a chassis, a drive supporting the chassis above a floor surface in a home and configured to move the chassis across the floor surface, a variable height member being coupled to the chassis and being vertically extendible, a camera supported by the variable height member, and a controller. The controller is configured to operate the drive to navigate the robot to locations within the home and to adjust a height of the variable height member upon reaching a first of the locations. The controller is also configured to, while the variable height member is at the adjusted height, operate the camera to capture digital imagery of the home at the first of the locations.

Autonomous monitoring robot systems

A method of operating a computing device includes receiving occupancy data for an operating environment of a mobile robot based on localization data detected by at least one localization sensor of the mobile robot responsive to navigation thereof in the operating environment, and receiving signal coverage data for the operating environment based on wireless communication signals acquired by at least one wireless receiver of the mobile robot responsive to navigation thereof in the operating environment. The wireless communication signals are transmitted by at least one electronic device that is local to the operating environment. The method further includes generating a map indicating coverage patterns of the wireless communication signals at respective locations in the operating environment by correlating the occupancy data and the signal coverage data. Related methods, mobile robots, and user terminals are also discussed.

Methods, systems, and devices for mapping wireless communication signals for mobile robot guidance

Devices, systems, and methods for social behavior of a telepresence robot are disclosed herein. A telepresence robot includes a drive system configured to move the telepresence robot; a control system configured to control the drive system to drive the telepresence robot around a work area; an object detection system configured to determine that a first object encountered by the telepresence robot is a human; and a social path component configured to: determine a first lockout zone having a first radius around the human and a first comfort zone having a second radius around the human, the second radius being larger than the first radius; and instruct the control system to cause the telepresence robot to: avoid traveling through the first lockout zone; move at a first maximum speed within the first comfort zone; and move at a second maximum speed outside of the first comfort zone, wherein the second maximum speed is greater than the first maximum speed.

Social behavior rules for a medical telepresence robot

The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote presence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.

Graphical user interfaces including touchpad driving interfaces for telemedicine devices

Devices, systems, and methods for social behavior of a telepresence robot are disclosed herein. A telepresence robot may include a drive system, a control system, an object detection system, and a social behaviors component. The drive system is configured to move the telepresence robot. The control system is configured to control the drive system to drive the telepresence robot around a work area. The object detection system is configured to detect a human in proximity to the telepresence robot. The social behaviors component is configured to provide instructions to the control system to cause the telepresence robot to operate according to a first set of rules when a presence of one or more humans is not detected and operate according to a second set of rules when the presence of one or more humans is detected.

Robot localization or mapping can be provided without requiring the expense or complexity of an 'at-a-distance' sensor, such as a camera, a LIDAR sensor, or the like. Landmark features can be created or matched using motion sensor data, such as odometry or gyro data or the like, and adjacency sensor data. Despite the relative ambiguity of adjacency-sensor derived landmark features, a particle filter approach can be configured to use such information, instead of requiring 'at-a-distance' information from a constant stream of visual images from a camera, such as for robot localization or mapping. Landmark sequence constraints or a Wi-Fi signal strength map can be used together with the particle filter approach.

Particle filters and WiFi robot localization and mapping

The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote telepresence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.

Growing community of inventors

Peabody, MA, United States of America

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