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3164 results about "Laser sensor" patented technology

Anisotropic distributed feedback fiber laser sensor

The invention relates to a DFB fiber laser sensor (1). A measurement quantity makes it possible to induce a linear birefringence between mode pairs of the laser-amplifying fiber (2) and to measure an associated beat frequency (Δν1, Δν2, Δν3). According to the invention, the laser-amplifying fiber (2) has a nonrotationally symmetrical structure, so that it is possible to detect isotropic pressures p, acoustic waves or chemical substances that can be added radially to the laser-amplifying fiber (2). In a second aspect of the invention, an emission wavelength range and parameters (a, b, ΔN) of the laser-amplifying fiber (2) and also a grating period L of the fiber Bragg grating resonator (3) are coordinated with one another such that at least two different spatial modes (LP01, LP11even, LP11odd, LP21even) are propagatable and it is possible to measure beat frequencies (Δν1, Δν2, Δν3) between oscillatory longitudinal laser modes assigned to them. Exemplary embodiments relate to: rotationally asymmetrical fiber types, a choice of special spatial modes (LP11odd, LP21even) and/or multiple fiber Bragg gratings (3) for reducing the beat frequencies (Δν1, Δν2, Δν3) below 100 GHz; and elimination of temperature influences e.g. by the detection of a plurality of beat frequencies (Δνa, Δνb, Δνc, Δνd) between different pairs of spatial modes (LP01, LP11even, LP11odd, LP21even) and/or polarization modes (X, Y).
Owner:GE OIL & GAS UK LTD

Method for collaborative mapping and locating of multiple robots for large-scale environment

InactiveCN106272423AEliminate Motion Accumulation ErrorsPrecise positioningProgramme-controlled manipulatorAlgorithmMultirobot systems
The invention provides a method for collaborative mapping and locating of multiple robots for a large-scale environment. The method comprises a single-robot laser SLAM algorithm based on a visual detection closed loop, a multi-robot pose constraint estimation algorithm and a multi-robot map fusion algorithm, wherein according to the single-robot laser SLAM algorithm based on the visual detection closed loop, a visual sensor is adopted for assisting a laser sensor in achieving the SLAM algorithm with the more stable roughness. Simultaneous locating and mapping of the multiple robots are achieved through the laser sensor and the visual sensor. The closed loop is detected by obtaining the visual characteristic of the roughness through a camera, and the problem about closed loop detection caused by the robot motion accelerative error is solved effectively; meanwhile through a multi-robot system, simultaneous locating and mapping in the large regional environment are completed efficiently, and the defect that the efficiency is low by means of a single robot is overcome. By the adoption of the method, the precise robot location and map creation of the environment are achieved in the large-scale environment, and the method is also suitable for small-scale environments.
Owner:HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL

Intelligent tree trunk white paining robot

The invention discloses an intelligent tree trunk white painting robot and belongs to the related fields of urban and garden greening equipment. The intelligent tree trunk white painting robot comprises a machine frame system, a robot traveling system, a lime slurry supply system, an automatic white painting execution system and a real-time detection system. Adopting a spray painting mode for white painting of tree trunks, the robot can automatically walk along a side pavement and quickly and efficiently spray lime solution onto trees along the side pavement. In a real-time detection system, a digital compass, a laser sensor and a vision system are adopted to realize the semi-automatic searching of tree trunks and tree trunk automatic positioning, an ultrasonic transducer is adopted to realize automatic obstacle avoidance, and the whole-process real-time monitoring with a personal computer (PC) and a programmable logic controller (PLC) is realized. When the intelligent tree trunk white painting robot is used, coating is saved and the painting effect is optimized; and the robot automatically performs white painting of trees along the side pavement, the working efficiency is improved, labor force is saved, and the goals of intelligent control and green environmental sanitation are fulfilled.
Owner:SHANGHAI UNIV

Mobile robot cascading type map creating method based on mixed characteristics

InactiveCN103268729AFix the defect createdRich room informationImage enhancementImage analysisTopological graphLaser data
The invention belongs to the field of intelligent mobile robots and discloses a mobile robot cascading type map creating method based on mixed characteristics. The mobile robot cascading type map creating method based on the mixed characteristics overcomes the defect of the creation of a signal map and solves the problem that a large amount of service information can not be supplied by single map creation. The method comprises the steps of acquiring laser data points, extracting geometrical characteristics and conducting characteristic matching, extracting SURF characteristic points and conducting matching, establishing a cascading type map and segregating a room. According to the mobile robot cascading type map creating method based on the mixed characteristics, a laser optical sensor is used for acquiring environmental data and extracting the geometrical characteristics, meanwhile, a visual sensor is used for extracting SURF characteristics, an overall topological graph is created, an undirected weighted graph is structured to achieve segmentation of the room, the defects that in a traditional topological map, geometric environment information contained in topological nodes is less and precise location cannot be achieved are effectively overcome, and abundant room information can be provided. The mobile robot cascading type map creating method based on the mixed characteristics is suitable for the field of service robots and other fields related to mobile robot map creation.
Owner:BEIJING UNIV OF TECH

Battery replacing system and battery replacing method of electromobile battery replacing station

The invention discloses a battery replacing system of an electromobile battery replacing station. The battery replacing system comprises a charging rack, stacking equipment, a temporary storage rack, electric-switching equipment and a charger system. The battery replacing system is characterized in that: the stacking equipment is used for carrying batteries between the charging rack and the temporary storage rack; the electric-switching equipment is used for carrying the batteries between the temporary storage rack and the electomobile; the stacking equipment has translation, hoisting and loading / unloading functions and is used for carrying the batteries between the charging rack and the temporary storage rack; and the electric-switching equipment has translation, hoisting, rotating, inclination angle adjustment and loading / unloading functions, and is used for carrying the batteries between the temporary storage rack and an electromobile. Accurate positioning of a battery box by the electric-switching equipment is realized in a way that a self-carried laser transducer scans a light-reflecting triangular panel arranged on an electromobile battery box frame. Due to the different designs of the charging rack and the temporary storage rack, the stacking equipment and the electric-switching equipment coordinately work together, and then the electromobile battery replacing efficiency is effectively improved.
Owner:NARI TECH CO LTD +4

Multi-scene drone locating mapping method based on three-dimensional laser radar

The invention provides a multi-scene drone locating and three-dimensional map mapping method based on a three-dimensional laser radar. In an indoor environment, when no GPS signal exists, a SLAM algorithm based on a three-dimensional laser sensor is built; in an outdoor environment, position information provided by RTK is mainly relied on to build the three-dimensional map, and after RTK loses theGPS signal, SLAM assists in locating. An indoor and outdoor three-dimensional map is quickly built, a convenient and efficient method is provided for obtaining the three-dimensional environment map,and the efficiency of building the three-dimensional environment map in the indoor environment and the outdoor environment is improved to a great extent; on the theoretical basis of mapping optimization of the SLAM algorithm, a drone platform SLAM algorithm is built based on the three-dimensional laser sensor, the three-dimensional environment map is built in the environment without the GPS signal, the problems of indoor locating and indoor and outdoor locating merging of a drone are solved, requirements of multi-scene drone locating are met, on the basis of obtaining high-precision attitude information, laser data is merged, and the three-dimensional map is built.
Owner:江苏中科智能科学技术应用研究院

Laser vision guided automatic welding track tracking system and method

The invention discloses a laser vision guided automatic welding track tracking system which comprises an embedded type industrial personal computer with an image processing device, a laser vision sensor, a welding robot, matched welding equipment and a workpiece clamping workbench; the laser vision sensor is installed on a welding gun in an advanced parallel manner in the welding direction through a laser sensor fixing element; the welding gun is installed on a tail end flange disc of the welding robot through a welding gun fixing element; and the embedded type industrial personal computer is connected with the laser vision sensor through a circuit. The invention also discloses a laser vision guided automatic welding track tracking method. With adoption of the laser vision guided automatic welding track tracking system and method, without the process of teaching in advance, the welding production efficiency and the adaptive ability are improved through real-time detection and tracking; and meanwhile, the problem of tracking lag caused by advanced detection is prevented, and the problem that when a sensor is too near the welding gun, large noise of coupling feature images is caused by factors including strong arc light irradiation, high temperature and smoke dusts, thus the real time and the tracking accuracy of the system are restricted is solved.
Owner:SOUTH CHINA UNIV OF TECH
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