43 results about "Autonomous behavior" patented technology

A system for controlling more than one remote vehicle. The system comprises an operator control unit allowing an operator to receive information from the remote vehicles and send commands to the remote vehicles via a touch-screen interface, the remote vehicles being capable of performing autonomous behaviors using information received from at least one sensor on each remote vehicle. The operator control unit sends commands to the remote vehicles to perform autonomous behaviors in a cooperative effort, such that high-level mission commands entered by the operator cause the remote vehicles to perform more than one autonomous behavior sequentially or concurrently. The system may perform a method for generating obstacle detection information from image data received from one of a time-of-flight sensor and a stereo vision camera sensor.

A method for enhancing operational efficiency of a remote vehicle using a diagnostic behavior. The method comprises inputting and analyzing data received from a plurality of sensors to determine the existence of deviations from normal operation of the remote vehicle, updating parameters in a reference mobility model based on deviations from normal operation, and revising strategies to achieve an operational goal of the remote vehicle to accommodate deviations from normal operation. An embedded simulation and training system for a remote vehicle. The system comprises a software architecture installed on the operator control unit and including software routines and drivers capable of carrying out mission simulations and training.

A behavior controlling apparatus by which the mobility area of a robot apparatus may be controlled in a simplified manner using plural landmarks. A landmark recognition unit 410 uniquely recognizes the landmarks to acquire the landmark position information rPo(x,y,z). A landmark map building unit 420 integrates the totality of the landmark position information rPo(x,y,z) sent by the landmark recognition unit 410 to build a landmark map which has integrated the geometric topology of the landmarks. Using the landmark map information rPoxN, a mobility area recognition unit 430 builds a mobility area map representing a mobility area for the robot. Using the mobility area map, sent from the mobility area recognition unit 430, a behavior controller 440 controls the autonomous behavior of the robot apparatus 1 so that the robot apparatus 1 will not come out of or into the mobility area.

A system for providing enhanced operator control of a remote vehicle driving at increased speeds comprises: a head-mounted display configured to be worn by the operator and track a position of the operator's head; a head-aimed camera mounted to the remote vehicle via a pan/tilt mechanism and configured to pan and tilt in accordance with the position of the operator's head, the head-aimed camera transmitting video to be displayed to the operator via the head-mounted display; and a computer running a behavior engine, the computer receiving input from the operator and one or more sensors, and being configured to utilize the behavior engine, operator input, sensor input, and one or more autonomous and/or semi-autonomous behaviors to assist the operator in driving the remote vehicle. The remote vehicle includes releasably mounted wheels and high-friction tracks.

A hierarchical behavioral framework is used to generate and control autonomous and semi-autonomous behavior in an articulate object. A behavioral controller is arranged to receive input associated with a behavioral action, to infer a plurality of behavioral parameter values using the framework, and to generate equivalent behavior in the articulate object using the parameter values when loaded in the behavioral controller to generate output corresponding to the equivalent behavior. The equivalent behavior may reproduce the inputted behavioral action, and/or include one or more other behavioral actions, which may be performed simultaneously or as part of a sequence of actions.

The invention provides a robot apparatus not requiring any incidental equipment in a building since an autonomous behavior is enabled, and capable of coping with abnormal phenomena. The robot apparatus includes means (112) for judging an autonomous mode or an autonomous/remote collaboration mode, means (113) for executing an autonomous motion when the mode judging means judges that the mode is an autonomous mode, means (117) for judging the collaboration ratio when the mode judging means judges that the mode is an autonomous/remote collaboration mode, means (118) for executing a complete remote motion when the judged collaboration ratio is 100% remote, and means (119) for executing an autonomous/remote collaboration motion when the judged collaboration ratio is not 100% remote.

The present invention relates to the core controller of an intelligent autonomous robot, which includes a central control module, a sensor module, a CAN bus transmission module and a movement control module. The central control module, which comprises a core controller connected with a storage device and an interface connected with an external side, is provided with a trimmed embedded RT-Linux operating system, a plurality of hardware driving programs and an application program which facilitates a secondary development. The sensor module comprising a pressure sensor and an electronic compass is connected with the central control module by the interface. The CAN bus transmission module is connected with the central control module. The movement control module which is connected with the CAN bus transmission module exchanges information with the core controller through the CAN bus. The present invention well controls the autonomous movement, environment sensing and the man-machine interaction and provides software and hardware supports for the realization of correct autonomous behaviors of the intelligent robot.

A robot may be made to operate in response to changes in an environment by determining a currently dominant drive state for the robot from a plurality of competing drive states, sensing a change the environment, selecting an appropriate behavior strategy in accordance with the currently dominant drive state from a database of behavior strategies for response by the robot to the sensed changed, selecting one or more robotic motions to be performed by the robot from a database of robotic motions in accordance with the selected strategy and causing the robot to perform the selected robotic motions.

The invention discloses a network node and a method for realizing autonomous routing control by sensing network context information. The network node comprises a routing execution unit and an autonomous management unit; the routing execution unit comprises a positioning and addressing module, a neighbor discovery module, a link selection module, a routing information distribution module and a routing calculation module; and the autonomous management unit comprises a context information sensing module, a context information transmission module, an information storage module and an autonomous decision-making module. The network node controls the operations of the link selection module and the routing calculation module in the routing execution unit according to autonomous behaviors AB generated by the autonomous management unit; therefore, in the operating process, the network node is self-adaptively regulated according to the present conditions of the network, generates a routing transfer table satisfying the present network condition, realizes the autonomous routing control, and optimizes the integrated performance of the network. Only one or a plurality of the network nodes of the invention are added to the traditional network, so that the network node can sense the context information, combine the autonomous policy, self-adaptively regulate the routing policy and select a better path to transfer a data packet to realize the purpose of the invention.

The invention relates to an autonomous behavior-based product marketing support system and method, is a support system which can provide marketing management for a plurality of products at the same time and initiatively provides a novel product marketing mode which is suitable for ordinary users to participate extensively and has great influence. Except for relevant network elements and various product marketing platforms of an original telephone switching network, the product marketing support system is also provided with the autonomous behavior-based product marketing support platform. The system has the following main functions: mainly adopting user autonomous promotion in a short message or network mode to provide parallel support for multi-product and multi-region marketing; and meanwhile, ensuring that transmission or marketing tasks of each product or service are independent to realize noninterference among promotion and transmission tasks. Moreover, the marketing support system and method can strictly limit participating populations and regions and provide real-time marketing awards for participating users. Meanwhile, marketing personnel can learn personal marketing performance in real time, thereby furthest arousing the working enthusiasm of marketing personnel.

The invention relates to model the software development based on agent. Wherein, it uses agent for the entity with determined source and capacity to implement autonomous behavior; all agents are arranged in system work area to model software development according to project constraints and self source and knowledge as well as special object and environment independently, while user just needs to input object into system.

The robot uses a microphone array to detect a sound and identify the direction of a sound source. The robot faces a head portion in the direction of the sound source. If an object having a characteristic of an uttering body is detected in an image capturing region (420) in the direction of the sound source identified by the microphone array, the uttering body is identified as an utterance source.Upon identifying the uttering body as the utterance source, the robot faces a body thereof toward the sound source (utterance source). The robot executes a predetermined motion if a particular environmental sound is detected.

The present invention evokes rapport with a robot by emulation of human-like/animal-like behavior. A robot (100) is provided with a movement-assessing unit for determining movement direction, a behavior-assessing unit for selecting an action from multiple kinds of actions, and a drive mechanism for executing a designated movement and action. When a user enters an entryway, a previously set external sensor detects the homecoming and notifies the robot (100) of the user's homecoming via a server. The robot (100) goes to the entryway and welcomes the user home by performing an action that shows good will such as sitting down and raising a hand.

The invention discloses a decision and control method for autonomous rendezvous and docking of a spacecraft in a translation approaching stage, and belongs to the field of rendezvous and docking. Themethod comprises the following steps that a scene classification matrix for priority attention dimension decision is established, and a man-machine-environment coupling interaction quantification model for manual control rendezvous and docking of the translation approaching stage is researched; the relationship among an astronaut, a spacecraft, the environment and dynamic joint disturbance are analyzed, and a behavior decision instruction rule set in different rendezvous and docking scenes is established; an autonomous tracking spacecraft driver prior model is established based on a deep neural network and a semi-physical simulation experiment; a tracking spacecraft autonomous behavior decision model is established based on deep reinforcement learning and an all-physical simulation experiment; and a bionic hierarchical control architecture comprising top-layer decision and bottom-layer control is researched, and autonomous behavior decision and control of the spacecraft are tracked. According to the decision and control method, by introducing the brain-like thinking thought, the problem that the autonomous rendezvous and docking mode of a spacecraft in a translation approaching stage lacks the flexibility and intelligence of manual control is solved.

The invention discloses a remote intelligent monitoring device and principle for children lacking of the independent behavior ability, and relates to a positioning and tracing system. The remote intelligent monitoring device and principle for children lacking of the independent behavior ability comprises an outer shell (1), a wristlet (2), a state indicator lamp (3), a charging interface (4), an SOS key (5) and a power switch key (6), wherein the wristlet (2) is arranged at the rear portion of the outer shell (1), the state indicator lamp (3) is arranged at the left side of the outer shell (1), the charging interface (4) is formed in the lower side of the front portion of the outer shell (1), the SOS key (5) is arranged at the lower portion of the right side of the outer shell (1), and the power switch key (6) is arranged below the SOS key (5). The remote intelligent monitoring device and principle for children lacking of the independent behavior ability combine the GPS technology and the GPRS technology, can accurately position and actively searching for the children, is not limited by time and space and is high in practicability.

A merged reality system comprises servers in a cloud to edge infrastructure configured to store and process data and models of virtual replicas of real world elements that provide self-computing capabilities and autonomous behavior to the virtual replicas. The data and models are input through a plurality of software platforms, software engines, and sensors connected to things and user devices. The server is further configured to merge the real and virtual data and models in order to augment the real data with the virtual data. A method thereof comprises mapping the real world into a virtual world, generating virtual replicas of the real world; adding models and data of the virtual replicas; connecting the virtual replicas to corresponding real elements in order to enrich and synchronize the virtual replicas with the real-world elements; merging the real and virtual data; and augmenting the real data with the virtual data.