Abstract: Systems and methods for initializing a robot to autonomously travel a route are disclosed. In some exemplary implementations, a robot can detect an initialization object and then determine its position relative to that initialization object. The robot can then learn a route by user demonstration, where the robot associates actions along that route with positions relative to the initialization object. The robot can later detect the initialization object again and determine its position relative to that initialization object. The robot can then autonomously navigate the learned route, performing actions associated with positions relative to the initialization object.

Abstract: Systems and methods for remote operating and/or monitoring of a robot are disclosed. In some exemplary implementations, a robot can be communicatively coupled to a remote network. The remote network can send and receive signals with the robot. In some exemplary implementations, the remote network can receive sensor data from the robot, allowing the remote network to determine the context of the robot. In this way, the remote network can respond to assistance requests and also provide operating commands to the robot.

Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.

Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.

Abstract: Systems and methods for initializing a robot to autonomously travel a route are disclosed. In some exemplary implementations, a robot can detect an initialization object and then determine its position relative to that initialization object. The robot can then learn a route by user demonstration, where the robot associates actions along that route with positions relative to the initialization object. The robot can later detect the initialization object again and determine its position relative to that initialization object. The robot can then autonomously navigate the learned route, performing actions associated with positions relative to the initialization object.

Abstract: Systems and methods for persistent mapping of environmental parameters using a centralized cloud server and a robotic network are disclosed herein. According to at least one non-limiting exemplary embodiment, a cloud server may utilize a robotic network, comprising a plurality of robots, communicatively coupled to the cloud server to collect data and generate or update a persistent map of a parameter of an environment based on the collected data from the plurality of robots on the robotic network.

Abstract: Systems and methods for cloud edge task performance and computing using robots are disclosed herein. According to at least one non-limiting exemplary embodiment, a cloud server may utilize a robotic network, comprising a plurality of robots, communicatively coupled to the cloud server to collect data, perform physical tasks, perform a computational function, or a combination thereof in a distributed fashion.

Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.

Abstract: Systems and methods for remote operating and/or monitoring of a robot are disclosed. In some exemplary implementations, a robot can be communicatively coupled to a remote network. The remote network can send and receive signals with the robot. In some exemplary implementations, the remote network can receive sensor data from the robot, allowing the remote network to determine the context of the robot. In this way, the remote network can respond to assistance requests and also provide operating commands to the robot.

Abstract: A system, method, and computer-usable medium are disclosed for creating and modifying a care plan assigned to a patient in response to observed data from the patient. In one embodiment of the method, data corresponding to one or more types of biometric diagnosis is received from the patient and a care plan is prescribed for the patient. The care plan includes one or more biometric thresholds corresponding to the one or more types of biometric information and receiving one or more reported symptoms for the patient. The care plan further includes one or more conditions corresponding to the one or more reported symptoms. Upon determining that the received data satisfy at least one of the biometric thresholds and the one or more reported symptoms satisfy at least one of the one or more conditions, an event rule for modifying the care plan based on the received data and the one or more reported symptoms is identified. The care plan is then modified based on the event rule.

Abstract: Systems and methods for remote operating and/or monitoring of a robot are disclosed. In some exemplary implementations, a robot can be communicatively coupled to a remote network. The remote network can send and receive signals with the robot. In some exemplary implementations, the remote network can receive sensor data from the robot, allowing the remote network to determine the context of the robot. In this way, the remote network can respond to assistance requests and also provide operating commands to the robot.

Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.

Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.

Abstract: Systems and methods for initializing a robot to autonomously travel a route are disclosed. In some exemplary implementations, a robot can detect an initialization object and then determine its position relative to that initialization object. The robot can then learn a route by user demonstration, where the robot associates actions along that route with positions relative to the initialization object. The robot can later detect the initialization object again and determine its position relative to that initialization object. The robot can then autonomously navigate the learned route, performing actions associated with positions relative to the initialization object.

Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.

Abstract: Systems and methods for initializing a robot to autonomously travel a route are disclosed. In some exemplary implementations, a robot can detect an initialization object and then determine its position relative to that initialization object. The robot can then learn a route by user demonstration, where the robot associates actions along that route with positions relative to the initialization object. The robot can later detect the initialization object again and determine its position relative to that initialization object. The robot can then autonomously navigate the learned route, performing actions associated with positions relative to the initialization object.

Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.

Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.

Abstract: Systems and methods for remote operating and/or monitoring of a robot are disclosed. In some exemplary implementations, a robot can be communicatively coupled to a remote network. The remote network can send and receive signals with the robot. In some exemplary implementations, the remote network can receive sensor data from the robot, allowing the remote network to determine the context of the robot. In this way, the remote network can respond to assistance requests and also provide operating commands to the robot.

Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.