13 results about "Robotic sensing" patented technology

The present inventive concept provides for a method of unmanned machine synchronization using robotic sensing. The method includes generating at least one physical signal in the vicinity of at least one unmanned machine. The at least one generated physical signal is received by the at least one unmanned machine. At least one task is performed by the at least one unmanned machine based on the at least one received generated physical signal.

Methods and systems for an artificial intelligence robotics platform are provided. The methods and systems include digitizing data determined by a robotic sensing patch system of a robotic body part, the robotic sensing patch system includes a sensing patch and a protective membrane. The methods and systems also include determining, based on the digitized data, first information that includes a total amount of forces or a total number of forces applied to the object by one or more phalanges of the robotic body part. The methods and systems further include determining, based on criteria and the first information, one or more positions of the one or more phalanges to augment the total amount of forces or the total number of forces. The methods and systems further include transmitting instructions to control the one or more phalanges to further augment the total amount of forces or the total number of forces.

The system of the present invention provides a multi-sensor robotic sensing and positioning system for sorting precise fine-grained objects. According to the system, multiple sensors are used for carrying out area proposal, instance segmentation, fine-grained classification and 3D pickup position calculation on shot images containing objects to be sorted, the objects are recognized and classified through the artificial intelligence technology, and the objects are accurately placed at proper positions, so that the sorting accuracy is improved, and the sorting efficiency is improved. The automatic sorting device is suitable for being applied to the environment where various kinds of objects need to be sorted, the sorting efficiency is greatly improved, the time needed for completing tasks is shortened, and the number of workers needed for work is also reduced.

A robotic sensing device (100) and a tactile sensor (200) thereof. The robotic sensing device (100) includes: a tactile sensor (200), which has a sensing unit (10) and a capacitance measurement unit (20), wherein the sensing unit (10) comprises a first dielectric layer (101), a second conductive layer (102), a third insulating layer (103), a fourth conductive layer (104) and a fifth insulating layer (105), the capacitance measurement unit (20) has a positive electrode and a negative electrode, the positive electrode being electrically connected to the second conductive layer (102) of the sensing unit (10) and the negative electrode being electrically connected to the fourth conductive layer (104) of the sensing unit (10), and the capacitance measurement unit (20) measures a changed capacitance value obtained from a change in the capacitance value of the sensing unit (10) caused by a conductive object approaching, touching or pressing the sensing unit (10); and a processing unit (30), which uses the changed capacitance value measured by the capacitance measurement unit (20) to establish a correspondence between the changed capacitance value and a sensed position on a robot, and then knows, by means of a machine learning training model, an actual position where the conductive object approaches, touches or presses, and a tactile sensation.

The present invention discloses a mobile robot collision sensing system, method and its circuit, comprising: the robot body includes a mechanical front collision, and the mechanical front collision includes a non-cylindrical front end face; at least four sensing systems are arranged on the robot body and are respectively located on both sides of the intersection of the front end face and the two side faces of the mechanical front collision of the non-cylindrical front end face. By arranging two sensing systems on both sides of the intersection of the front end face and the two side faces of the mechanical front collision of the non-cylindrical front end face, the mobile robot with a non-cylindrical mechanical front collision can accurately detect relevant information such as the collision direction when colliding with an obstacle, greatly reducing the frequency of secondary collisions occurring at the same place between the mobile robot with a non-cylindrical mechanical front collision and the obstacle. And it enables the main control chip of the robot body to still accurately detect the received collision signal after long-term use, so as to correctly judge and handle the relationship between the robot body and the obstacle.

The utility model provides an inductor assembly and a photovoltaic cleaning robot. The inductor assembly comprises a robot shell and an inductor module. The robot shell is provided with a bottom plate; the sensor module comprises a mounting seat and a sensor; the mounting seat is detachably mounted on the bottom plate and is provided with a via hole, and the via hole is communicated with the external environment; the inductor is mounted on the mounting seat, and the induction end of the inductor is exposed out of the via hole and is used for detecting the photovoltaic panel below the bottom plate; the mounting base is in sealed connection with the bottom plate, the sealing area is formed between the mounting base and the bottom plate, the inductor is located in the sealing area, water is prevented from entering the inductor through the sealing area, the inductor is prevented from being directly exposed to the bottom of the robot shell, and the sealing effect of the inductor assembly is guaranteed.

The present application discloses a charging stand, a robot, and an intelligent charging system. The charging stand includes: a charging stand electrode, a transmitter, and a first spacer; the charging stand electrode is embedded in the side wall of the charging stand; the transmitter includes a first transmitter and a second transmitter, the first transmitter and the second transmitter being used to respectively transmit optical signals for the robot to sense and locate; the first spacer is disposed between the first transmitter and the second transmitter and is used to block part of the optical signal; wherein the transverse length of the first spacer is a first dimension; the transverse length of the charging stand electrode is a third dimension; and the third dimension is greater than the first dimension. After the charging stand and the robot are docked, at least a portion of the charging stand electrode contacts the corresponding machine charging electrode of the robot.

Methods and systems for an artificial intelligence robotics platform are provided. The methods and systems include digitizing data determined by a robotic sensing patch system of a robotic body part, the robotic sensing patch system includes a sensing patch and a protective membrane. The methods and systems also include determining, based on the digitized data, first information that includes a total amount of forces or a total number of forces applied to the object by one or more phalanges of the robotic body part. The methods and systems further include determining, based on criteria and the first information, one or more positions of the one or more phalanges to augment the total amount of forces or the total number of forces. The methods and systems further include transmitting instructions to control the one or more phalanges to further augment the total amount of forces or the total number of forces.

The present invention proposes a robotic gripper perception system that combines proximity and tactile sensing for adaptive grasping. The system belongs to the field of robotic sensing technology and includes a perception module, an execution module, and a data transmission and processing module. The perception module includes a flexible transparent fingertip, a proximity sensor array, and a multiplexer. The execution module includes a three-fingered manipulator and a robotic arm. The data transmission and processing module includes a controller and a host computer. Compared with traditional proximity-tactile grasping perception schemes, a proximity-tactile collaborative perception framework with spatial consistency is established, which effectively reduces information alignment errors and significantly improves the spatiotemporal consistency and fusion efficiency of perception. It can more comprehensively characterize the multi-dimensional characteristics of the target object and adaptively adjust the grasping posture and force accordingly, achieving high-precision and high-robust grasping in a dynamic environment. In addition, the system achieves soft grasping through flexible fingers, avoiding object damage and improving grasping efficiency.

Disclosed herein are systems, devices, and apparatuses for improved perception / sensing systems in robots or other vehicles. The system receives sensor data representative of a field of view of a robot and determines, based on the sensor data and an object detection model, an identification of an object within the field of view and an accuracy metric of the identification of the object, wherein the object detection model relates the sensor data to the identification. The system also requests, based on the accuracy metric, an informational feedback from the identification of the object and updates the object detection model to an updated object detection model based on the informational feedback.

Various embodiments of a bio-inspired robot operable for detecting crack and corrosion defects in tubular structures are disclosed herein.

The invention relates to the technical field of driving robot testing, and discloses a driving robot anti-interference testing device which comprises a driving robot sensing component and further comprises a frame body, the frame body is provided with a concave water storage area, water is contained in the water storage area, and the driving robot sensing component can be arranged in the center of the frame body; the rainwater simulation assembly is arranged on the frame body and is used for extracting water in the water storage area and spraying the water to the upper part of the driving robot sensing component so as to simulate a rainwater environment to test the driving robot sensing component; and the heavy fog simulation assembly comprises a fog component used for generating water fog and an airflow driving component, and the airflow driving component drives the water fog to diffuse to the driving robot sensing component so as to simulate a natural heavy fog environment test. The anti-interference testing device for the driving robot aims at solving the problem that different weather phenomena need different devices for simulation, and consequently the testing cost is high.

A conveyor system that uses one or more robots to pick items, such as parcels, from one or more supplies of the items in bulk and place the items directly or indirectly on a registration conveyor, such as a ball belt with flights, in a single file. The items are spaced efficiently for high throughput and delivery to downstream processing, such as sorting.