An electronic apparatus is disclosed. The electronic apparatus includes a communication interface including circuitry, a sensor, a memory stored with data including a plurality of movement patterns at a normal operation of a robot device, and at least one processor electrically coupled with the memory, and the at least one processor is configured to obtain a movement pattern of the robot device based on at least one from among a signal strength received from the robot device through the communication interface or sensing data of the sensor, and identify an operating state of the robot device according to the obtained movement patterned based on the data as a normal operation or an abnormal operation.

An autonomous guided vehicle including a frame, a drive section, a payload handler, a vision system, and a controller. The vision system has a camera disposed to generate video stream data imaging of an object. The controller being communicably connected to register the video stream data imaging from the at least one camera and communicably connected to at least one or more of a time of flight sensor and a distance sensor that detects a distance of the object. The controller is configured so to effect, from the video stream data imaging, robust object detection and localization within a predetermined reference frame via alternately both binocular vision and monocular vision from the video stream data imaging, the detection determined via monocular vision having confidence commensurate with detection determined via the binocular vision.

A movement control system (1000) includes at least one moving body (1), a sensor (3) configured to transmit movement region information related to a movement region of the moving body, a route generating unit (440) configured to generate a route for the moving body to move through the movement region, based on the movement region information received via a network, and a moving body control unit (450) configured to control movement of the moving body, based on the route. The route generating unit is configured to generate an avoidance route for avoiding a second region including a first region representing a position of an object existing in the movement region and a surrounding region at the first region. The moving body control unit is configured to control the moving body based on the avoidance route.

A movement control system (1000) includes at least one moving body (1), a sensor (3) configured to transmit movement region information related to a movement region of the moving body, a route generating unit (440) configured to generate a route for the moving body to move through the movement region, based on the movement region information received via a network, and a moving body control unit (450) configured to control movement of the moving body, based on the route. The route generating unit is configured to generate an avoidance route for avoiding a second region including a first region representing a position of an object existing in the movement region and a surrounding region at the first region. The moving body control unit is configured to control the moving body based on the avoidance route.

A guide system is provided that uses a plurality of sensors to identify and determine a clear path for an ambulatory vision impaired person. The system includes one or more wheels that rotate to propel the system, a platform supported by the one or more wheels and housing a processor, a rigid harness with a haptic feedback grip that is positioned to be grasped by an operator, and one or more sensors configured to sense information about the environment. In operation, the processor analyzes information sensed by the sensors to identify object in the path of the guide system and sends messages to the operator to allow the operator to avoid the identified objects. The messages may be sent to the operator via the haptic feedback grip or audibly via a speaker or via a wireless connection to a haptic or audio device being worn by the operator.

A guide system is provided that uses a plurality of sensors to identify and determine a clear path for an ambulatory vision impaired person. The system includes one or more wheels that rotate to propel the system, a platform supported by the one or more wheels and housing a processor, a rigid harness with a haptic feedback grip that is positioned to be grasped by an operator, and one or more sensors configured to sense information about the environment. In operation, the processor analyzes information sensed by the sensors to identify object in the path of the guide system and sends messages to the operator to allow the operator to avoid the identified objects. The messages may be sent to the operator via the haptic feedback grip or audibly via a speaker or via a wireless connection to a haptic or audio device being worn by the operator.

A robotic vehicle comprising a chassis and a manipulatable payload engagement portion, at least one sensor configured to acquire real-time sensor data, a pose validation system comprising computer program code executable by at least one processor to evaluate the sensor data to: determine if a goal pose of the robotic vehicle will result in a collision with infrastructure upon which the object is located when the engagement portion engages the object. If a potential collision is detected, the pose validation system can generate a signal to adjust the robotic vehicle's pose to avoid the collision. A corresponding method is also provided.

A robotic vehicle comprising a chassis and a manipulatable payload engagement portion, at least one sensor configured to acquire real-time sensor data, a pose validation system comprising computer program code executable by at least one processor to evaluate the sensor data to: determine if a goal pose of the robotic vehicle will result in a collision with infrastructure upon which the object is located when the engagement portion engages the object. If a potential collision is detected, the pose validation system can generate a signal to adjust the robotic vehicle's pose to avoid the collision. A corresponding method is also provided.

A method for ascertaining a direction of travel and/or a future path of travel of a robot and/or a vehicle, movable at least semiautonomously or autonomously in a dynamically changeable surrounding area. The method includes: measuring and/or ascertaining surrounding-area parameters, which may each be assigned to at least one moving, external object in the area surrounding the unit; executing at least one movement prediction algorithm for ascertaining, in each instance, at least one probabilistic movement prediction parameter for detected external objects as a function of measured surrounding-area parameters assigned to the individual external objects; executing at least one movement determination algorithm for ascertaining at least one short-term movement parameter for each detected external objects as a function of measured surrounding-area parameters assigned to the individual external objects; the movement prediction algorithm and the movement determination algorithm being executed at least substantially independently of each other.

A method for ascertaining a direction of travel and/or a future path of travel of a robot and/or a vehicle, movable at least semiautonomously or autonomously in a dynamically changeable surrounding area. The method includes: measuring and/or ascertaining surrounding-area parameters, which may each be assigned to at least one moving, external object in the area surrounding the unit; executing at least one movement prediction algorithm for ascertaining, in each instance, at least one probabilistic movement prediction parameter for detected external objects as a function of measured surrounding-area parameters assigned to the individual external objects; executing at least one movement determination algorithm for ascertaining at least one short-term movement parameter for each detected external objects as a function of measured surrounding-area parameters assigned to the individual external objects; the movement prediction algorithm and the movement determination algorithm being executed at least substantially independently of each other.