Robotic applications are important in both indoor and outdoor environments. Establishing reliable end-to-end communication among robots in such environments are inevitable. Many real-time challenges in robotic communications are mainly due to the dynamic movement of robots, battery constraints, absence of Global Position System (GPS), etc. Systems and methods of the present disclosure provide assisted link prediction (ALP) protocol for communication between robots that resolves real-time challenges link ambiguity, prediction accuracy, improving Packet Reception Ratio (PRR) and reducing energy consumption in-terms of lesser retransmissions by computing link matrix between robots and determining status of a Collaborative Robotic based Link Prediction (CRLP) link prediction based on a comparison of link matrix value with a predefined covariance link matrix threshold. Based on determined status, robots either transmit or receive packet, and the predefined covariance link matrix threshold is dynamically updated. If the link to be predicted is unavailable, the system resolves ambiguity thereby enabling communication between robots.

An autonomous moving system according to the present disclosure includes a control unit executing control of movement of an autonomous moving body, including collision control, a setting unit setting a predetermined defense space around the autonomous moving body, for executing the collision control, and a classifying unit classifying an obstruction detected by a detecting unit installed in the autonomous moving body, and an obstruction detected by a detecting unit installed in a facility space through which the autonomous moving body moves. The setting unit changes a range of the defense space to a first range based on a result of the classifying unit classifying the obstruction detected by one of the detecting units, and changes the range of the defense space from the first range to a second range based on a result of the classifying unit classifying the obstruction detected by at least another of the detecting units.

A method includes receiving one or more past trajectories navigated by a robotic device in an environment, wherein the one or more past trajectories are associated with initial environmental sensor data and one or more obstacle detection heuristics. The method also includes determining, based at least on subsequent environmental sensor data, one or more updated obstacle detection heuristics. The method further includes determining, based on the one or more updated obstacle detection heuristics and the initial environmental sensor data, one or more predicted drivable areas in the environment. The method additionally includes, based on the one or more predicted drivable areas including the one or more past trajectories, using the one or more updated obstacle detection heuristics to determine future navigation of the robotic device.

A control method in a control device that controls movement of a plurality of moving bodies includes: moving the plurality of moving bodies in accordance with movement plans that have been predetermined and defining one or more passageways where each of the plurality of moving bodies passes from a departure place to a destination; acquiring an actual delay time that is a delay time of each of the plurality of moving bodies, the delay time being generated in each of the one or more passageways; updating a model representing a length of the delay time defined for each of the one or more passageways using the actual delay time in a corresponding passageway among the one or more passageways; acquiring a current location of each of the plurality of moving bodies; and updating each of the movement plans based on the updated model, the destination, and the current location.

A data supply device includes: a data acquisition unit configured to acquire attribute data indicating at least one of content regarding a movable apparatus that moves autonomously in a space and content regarding a sensor used by the movable apparatus; a data selection unit configured to select, based on the attribute data, space data to be supplied to the movable apparatus from space data generated by measuring the space; a timing determination unit configured to determine, based on the attribute data, a timing at which the space data selected by the data selection unit is supplied to the movable apparatus; and a data supply unit configured to supply the space data selected by the data selection unit to the movable apparatus at the timing determined by the timing determination unit.

A driving robot includes: a camera including a depth camera; and at least one processor configured to: control the camera to acquire depth data in one or more areas where the driving robot moves, identify, from the acquired depth data, a plurality of scan data sets corresponding to a plurality of predetermined height levels, identify, based on the plurality of scan data sets, a plurality of feature scores corresponding to the plurality of scan data sets, and generate at least one area map corresponding to at least one scan data set among the plurality of scan data sets, wherein a feature score, among the plurality of feature scores, corresponding to the at least one scan data set is greater than or equal to a predetermined critical value.

An architecture for autonomous school safety robots with behavior reinforcement is provided. The architecture can include a management server, a management portal and a number of robots for patrolling a school environment. The management portal provides an interface for an administrator to control the robots using prompts. These prompts can describe the type of behavior, object, event, occurrence, etc. that the robots should detect and can define how the robots should respond to a detection. The management portal also provides an interface for the administrator to review and respond to any reported detection.