A method for constructing episodic memory model based on rat brain visual pathway and entorhinal-hippocampal structure mainly applied to environment cognition and navigation of an intelligent mobile robot to complete tasks of environment cognition map construction and target-oriented navigation is provided. The image information of the environment, the head-direction angle and speed of the robot are collected, and then the head-direction angle and speed of the robot are input into the entorhinal-hippocampal CA3 neural computational model to obtain the robot's precise position. The visual information is input into the computational model of the visual pathway to obtain the scene information in the current vision of the robot. The above two kinds of information are fused and stored in a cognitive node with the topological relationship. Utilizing scenario information to correct the path integration errors during the exploration process of the robot, thereby constructing the episodic cognitive map representing the environment.

The present disclosure discloses a bionic cuttlefish-typed underwater detection robot, including a bionic cuttlefish-typed body structure, a piezoelectric energy capture device, a circuit rectification and storage assembly and a power control assembly. The bionic cuttlefish-typed body structure includes a head and a main body; the piezoelectric energy capture device includes piezoelectric ceramic elements arranged around the main body and PVDF floating belts, and an end of each piezoelectric ceramic element is connected to a spherical spoiler component, the PVDF floating belts are evenly distributed at a tail end of the main body. The present disclosure adopts piezoelectric ceramic elements with spoiler components and PVDF floating belts to generate electricity, converts wave energy and ocean current energy into electric energy, powers the power control assembly of the detection robot. It has high power generation efficiency and stable current, and realizes the autonomous operation of the underwater detection robot.

A system of underwater swarm of robotic fish for monitoring and telepresence. The system comprising a floating platform communicatively coupled to a controller, a submersible sinker communicatively coupled to the floating platform, and a plurality of underwater drones communicatively coupled to the submersible sinker. The controller is configured to receive instructions from an operator for remotely exploring an underwater environment using the submersible sinker and the plurality of underwater drones, transmit the instructions to the plurality of underwater drones via the floating platform and the submersible sinker, the instructions directing the plurality of underwater drones to navigate the underwater environment and collect data, receive the collected data from the plurality of underwater drones via the floating platform and the submersible sinker, and display the collected data to the operator via a virtual display.

A method of performing an adaptive aerial survey includes capturing images of a target area, by at least one camera system disposed on an aerial vehicle, as the aerial vehicle travels along a flight map that includes a plurality of flight lines. The method also includes determining coverage of the target area based on the images captured by the at least one camera system, and adjusting at least one of the flight map and an orientation of the at least one camera system based on the coverage of the target area determined based on the images captured by the at least one camera system. The method can be performed by a control system including circuitry to perform the above steps.

An automatic working system that includes a self-moving device and a positioning device. The self-moving device includes a movement module, a task execution module. The positioning device is configured to detect a current position of the self-moving device. The automatic working system includes: a storage unit, configured to store a working area map, and: a map confirmation procedure, which including: providing a drive circuit instruction to move along a working area boundary, and receiving a confirmation signal from a user to complete the map confirmation procedure; and a working procedure including providing a drive circuit instruction to move within a working area defined by the map and execute the working task; and a control module, configured to monitor an output of the positioning device to execute the map confirmation procedure and execute the working procedure after the map confirmation procedure is completed.

The present disclosure discloses a bionic cuttlefish-typed underwater detection robot, including a bionic cuttlefish-typed body structure, a piezoelectric energy capture device, a circuit rectification and storage assembly and a power control assembly. The bionic cuttlefish-typed body structure includes a head and a main body; the piezoelectric energy capture device includes piezoelectric ceramic elements arranged around the main body and PVDF floating belts, and an end of each piezoelectric ceramic element is connected to a spherical spoiler component, the PVDF floating belts are evenly distributed at a tail end of the main body. The present disclosure adopts piezoelectric ceramic elements with spoiler components and PVDF floating belts to generate electricity, converts wave energy and ocean current energy into electric energy, powers the power control assembly of the detection robot. It has high power generation efficiency and stable current, and realizes the autonomous operation of the underwater detection robot.

The present invention discloses a method for adaptively role-selection in coordinated multi-robot search task and system thereof, comprising: defining a role action space as two discrete values: [explore, cover]; acquiring and inputting local perception information o.sub.t.sup.i and joint perception information jo.sub.t.sup.i into a role policy, and outputting a role action .sub.t.sup.i; wherein, the local perception information comprises an obstacle map, an explored map, a covered map, and a position map; and, the joint perception information comprises a merged explored map and a merged covered map; inputting the local perception information o.sub.t.sup.i and the output role action .sub.t.sup.i into a primitive policy, and outputting a primitive action a.sub.t of robot to interact with the environment; then, a robot is controlled to execute corresponding output primitive action a.sub.t according to received specific role action .sub.t.sup.i.

A computer-implemented method for autonomously exploring, by a mobile robot, one or more objects of interest, the mobile robot comprising a computing unit and a laser scanner module for scanning surfaces of the one or more objects of interest, the laser scanner module having a field of view. The method comprising defining a 3D exploration map, wherein the one or more objects of interest are situated in the exploration map, partitioning the exploration map into a multitude of 3D exploration blocks, and an autonomous exploration of the exploration map by means of the mobile robot, wherein the exploration comprises, by the laser scanner module, generating scan data related to a point cloud while the mobile robot is travelling along an exploration path.

A method for characterizing a radiofrequency environment, comprising: obtaining measurements of geometrical properties of physical objects in the environment, geometrical properties including at least respective positions and dimensions of objects, simulating radiofrequency ray-tracings involving a multiplicity of simulated rays, each ray being: emitted by a transmitter located in said environment in a transmitter position, and/or received by a receiver located in said environment in a receiver position, each pair of a transmitter and a receiver positions defining therebetween a radiofrequency path where rays possibly interact with at least a part of objects, selecting, among all the paths, at least one path defined by rays interacting with the objects which interact the most with rays, obtaining radiofrequency measurements of a radiofrequency channel defined by the selected path and estimating radiofrequency properties of objects interacting in selected path, radiofrequency properties and geometrical properties of objects characterizing thereby environment.

A method, an apparatus for continuous path planning, a computer device, and a storage medium. The method designs the optimization function based on the rapidly exploring random tree to plan path, and the optimal path is screened out from the random tree according to target function including the reconstruction completeness optimization function, the path effectiveness optimization function, and the path smoothness optimization function when the reconstruction degree of the preset sampling points is determined to meet the preset requirement.