Robust Ai, Inc.

Anthony Sean Jules

Rodney Allen Brooks

Leila Takayama

Alexander Jay Bruen Trevor

Crystal Chao

Dylan Bourgeois

Heather Klaubert

Justine Rembisz

Jamie Luong

Benjie Holson

Mohamed Rabie Amer

Gary Fred Marcus

Michelle Ho

Marina Kolmitz

Kyle Wray

A computing system may be configured as a fleet controller for autonomous mobile robots operating within a physical environment. The system may include a communication interface receiving sensor data from the robots including image data captured by visible light cameras located on the robots, an environment mapper determining a global scene graph representing the environment and identifying navigable regions of the environment, a workflow coordinator determining a workflow including tasks to be performed within the environment by one or more of the robots in cooperation with a human, and a route planner configured to determine routing information for the one or robots including a nominal route from a source location to a destination location. The robots may be configured to autonomously navigate the environment to execute the tasks based on the routing information.

Systems and methods for an autonomous mobile robot fleet coordination

An autonomous robotic cart includes a chassis, sensors coupled with the chassis, visible light cameras, and a handlebar unit coupled with the chassis. The handlebar unit includes a handlebar and a force sensor configured to detect a translational force and a rotational force exerted on the handlebar. The autonomous robotic cart also includes a holonomic and omnidirectional mechanical drive unit coupled with the chassis. The autonomous robotic cart is configured to autonomously navigate a physical environment to execute one or more navigation goals determined based on communication with a remote computing system configured to manage a fleet of robots including the autonomous robotic cart and also to cause the autonomous robotic cart to move translationally and rotationally in a direction corresponding to a output force vector determined based on sensor data.

Systems and methods for an autonomous mobile robot

A robot may identify a human located proximate to the robot in a physical environment based on sensor data captured from one or more sensors on the robot. A trajectory of the human through space may be predicted. When the predicted trajectory of the human intersects with a current path of the robot, an updated path to a destination location in the environment may be determined so as to avoid a collision between the robot and the human along the predicted trajectory. The robot may then move along the determined path.

Robotic social interaction

This application describes systems, devices, computer readable media, and methods for the function and operation of robotic carts. A robotic cart may include a base component configured for the receipt of a payload, a battery unit, and a mobility apparatus. The robotic cart may include a handlebar component coupled with the base component. The handlebar unit may include a sensor unit configured to transmit a hand detection message when the handlebar unit is grasped by one or more hands and to transmit a force direction message indicating a two-dimensional direction associated with a directional force applied by one or more hands. The robotic cart may be configured to map the area around it and to autonomously move the robotic cart along a path to perform a task.

Robotic cart

A cleaning robot may determine a three-dimensional model of a physical environment based on data collected from one or more sensors. The cleaning robot may then identify a surface within the physical environment to clean. Having identified that surface, the robot may autonomously navigate to a location proximate to the surface, position an ultraviolet light source in proximity to the surface, and activate the ultraviolet light source for a period of time.

Cleaning robot

Growing community of inventors

Hillsborough, CA, United States of America

Anthony Sean Jules