A method includes dispatching a drone to a site. The drone includes audio/visual equipment. The method includes logging a plurality of timestamped locations of the drone and receiving, from the audio/visual equipment, site data captured by an on-site operator of the audio/visual equipment. The method includes correlating a portion of the site data with at least one of the timestamped locations of the drone.

A method includes dispatching a drone to a site. The drone includes audio/visual equipment. The method includes logging a plurality of timestamped locations of the drone and receiving, from the audio/visual equipment, site data captured by an on-site operator of the audio/visual equipment. The method includes correlating a portion of the site data with at least one of the timestamped locations of the drone.

A system and method for a providing a dynamic backhaul. In one example, the system includes a self-positionable wireless device (for example, a drone) including a dual-band radio configured to establish a wireless connection between the self-positionable wireless device and a wireless system. The dual-band radio initiates a narrowband wireless link with the wireless system via a first narrowband antenna of the self-positionable wireless device and a second narrowband antenna of the wireless system. A navigation system generates location, velocity and error estimate of the self-positionable wireless device. The location is transmitted to the wireless system using the narrowband wireless link. The self-positionable wireless device receives via the narrowband wireless link location, velocity and error estimate of the wireless system. The self-positionable wireless device establishes a directional broadband wireless link with the wireless system using the location, velocity and error estimate of the self-positionable wireless system and the wireless system.

In one embodiment, motion planning and control data is received, where the motion planning and control data indicates that an autonomous vehicle is to move from a first point to a second point of a path within a predetermined route. In response to the motion planning and control data, the path from the first point to the second point is segmented into multiple path segments. For each of the path segments, one of predetermined driving scenes is identified that matches motion characteristics of the corresponding path segment. The motion planning and control data associated with the path segments is modified based on predetermined motion settings of the path segments. The autonomous vehicle is driven through the path segments of the path based on the modified motion planning and control data.

Provided are non-uniform light-emitting lidar (light detection and ranging) apparatuses and autonomous robots including the same. A lidar apparatus may include a light source configured to emit light, an optical unit arranged on an optical path of light emitted from the light source and configured to change an optical profile of the light to be non-uniform, and a 3D sensor configured to sense location of an object by receiving reflection light from the object.

A movement route generating apparatus includes an angle calculating unit calculating an angle formed by a vehicle travel direction at a target position compared with that at the current position, a graph generating unit generating a graph that has most gentle inclinations by plotting the curvature of a travel trajectory matching the steering angle of the vehicle and a distance traveled on two axes, under the condition that the area of a graph generated in correspondence to a travel trajectory from the current position to the target position is equal to the angle and other conditions, and a route setting unit setting a travel trajectory represented by the graph as the movement route of the vehicle. Accordingly, a travel trajectory with the smallest degree of change in curvature per unit distance traveled, that is, a low horizontal angular velocity caused by vehicle steering, can be set as a movement route.

Systems and methods for loading and delivering stalk subassemblies and yarn packages are disclosed herein. Such systems and methods can have at least one processor, at least one automated guided vehicle, at least one creel assembly, and an automated creel loading assembly. The at least one automated guided vehicle can be communicatively coupled to the at least one processor. The at least one processor can be configured to selectively direct an automated guided vehicle to engage a respective stalk subassembly. Upon engagement between the automated guided vehicle and the stalk subassembly, the processor can be configured to selectively direct the automated guided vehicle to move about and between the selected operative position within the creel assembly and a loading position proximate the automated creel loading assembly.

A visual display for use by a user for navigation and obstacle avoidance. A typical user employs the invention in operating a vehicle. The user may be located in the vehicle but will more typically be remotely located. The display may include a conventional video feed. A visual arch metaphor is also provided. If used in conjunction with a video feed, the arch metaphor preferably extends from the left side of the video, over the top of the video, and on to the right side of the video. A ranging device mounted on the vehicle collects ranging data around the vehicle. As an example, the ranging device might collect 180 degrees of ranging data extending from the vehicle's left side, across the vehicle's front, and over to the vehicle's right side. The ranging data is then correlated to a predefined color scale. The ranging data is also correlated to a position on the arch metaphor.

Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.

A protection system for a classroom or other space to protect against a terrorist. The system includes a fixed control unit and a mobile control unit. The fixed control unit contains a hanger for drones to be launched against the terrorist. The fixed control unit also includes data storage units, a computer, a computer program and a memory, power storage units, a sighting laser for obtaining location information about the terrorist and an etching laser for marking the terrorist, an optics system for receiving visual information, and a telecommunication unit to send and receive information. The mobile control unit is worn by a protecting person in the space and includes some of the same components as the fixed control unit. It also has a local aiming system that includes for example a rifle type sight. The drone is a self-contained, self-propelled robotic flying vehicle that can be very small or even the size of a mouse. It has a mag-lev engine, electrical storage units and an aeronautically shaped body.