598 results about "Tico Robot" patented technology

A database management system employs a number of community and customized software search robots. The robots interact with subscribers to access, retrieve and post content according to content groupings and classifications that reflect the collective shared interests, desires, etc. of such subscribers. A user query interface is also adapted to facilitate searching and review of the content through predefined and customized filtering parameters.

A robotic system that includes a robot and a remote station. The remote station can generate control commands that are transmitted to the robot through a broadband network. The control commands can be interpreted by the robot to induce action such as robot movement or focusing a robot camera. The robot can generate reporting commands that are transmitted to the remote station through the broadband network. The reporting commands can provide positional feedback or system reports on the robot.

A system for providing the reliable and numerically efficient generation of time-optimum trajectories with easy-to-track or continuous acceleration profiles for simple and blended moves of single- and multi-arm robotic manipulators, such as an extension and retraction move along a straight line or a rotary move following a circular arc, with velocity, acceleration, jerk, and jerk rate constraints. A time-optimum trajectory is the set of the position, velocity, and acceleration profiles which describe the move of a selected end effector along a given path in the shortest time possible without violating given constraints, with a special case being an optimum abort trajectory, which brings the moving arm into complete rest in the shortest time. The invention involves firstly identifying the set of fundamental trajectory shapes which cover all possible combinations of constraints for a given category of moves, e.g., a move along a straight line or along a circular arc; next, decomposing the fundamental shapes into segments where a single constraint is active; and, then, determining the time optimum paths in the segments. As a result, a unique design of time-optimum trajectories is produced based on a set of pre-defined trajectory shapes. The invention also involves the blending of simple moves into a single trajectory by decomposing trajectories of the individual moves into their orthogonal components and overlapping them for a given time interval, which results in a non-stop move along a smooth transfer path.

Provided are robots for managing inventory of arbitrary size, shape, weighted, or other distinct featured items. The robots dynamically and adaptively manage inventory for items stacked atop one another, items stacked behind one another, items that are horizontally arranged, items that are dispensed from a gravity flow dispenser, items that are dispensed from a back-to-front push dispenser, and items that are loosely contained within a bin. The robots have a sensory array from which dimensions of a particular arrangement and dimensions of a particular item in the particular arrangement can be calculated. The calculated dimensions can include length, width, or height of a particular arrangement and a particular item or force imposed by the particular arrangement and mass of the particular item. Based on these dimensions, the robots can dynamically track different item inventories without counting each individual item.

A robot having a learning control function is disclosed. The robot includes a robot mechanism unit with a sensor on a part to be positionally controlled and a control unit for controlling the operation of the robot mechanism unit. The control unit includes a normal control unit for controlling the operation of the robot mechanism unit, and a learning control unit for operating the robot mechanism unit according to a task program and carrying out the learning to calculate the learning correction amount in order that position of the part of the robot mechanism unit to be controlled which is detected by the sensor approaches a target trajectory or a target position assigned for the normal control unit. The learning control unit calculates the maximum speed override that can be set with in the learning operation, and carries out the learning to calculate the learning correction amount while increasing the speed override a plurality of times until the maximum speed override is reached.

Provided are a multi-joint robot arm, a manipulation force acquiring unit that acquires a manipulation force from a person, the manipulation force acquiring unit disposed on the multi-joint robot arm, an external force acquiring unit that acquires an external force to be applied to a gripped object, the external force acquiring unit disposed on the multi-joint robot arm, an impedance controller that performs impedance control on the multi-joint robot arm based on the manipulation force acquired by the manipulation force acquiring unit and a set impedance parameter, and an assist force correcting unit that corrects a force component vertical to the resistance force of an assist force generated by the impedance controller according to the resistance force generated by friction caused by contact between the gripped object and an external environment.

A mobile self-propelled robot for autonomously carrying out actions. The robot includes a drive module for moving the robot over a floor area; a processing module for carrying out the activities during a processing stage; at least one sensor module for detecting information relating to the structure of the surroundings; a detector module configured to detect a displacement of the robot prior to or during the processing stage. Further, the robot includes a navigation module configured to navigate the robot over the floor area during the processing stage using a map of the surroundings, to store and manage one or more maps of the surroundings, and to carry out a self-positioning process if the detector module has detected a displacement of the robot. During the self-positioning process, the presence and the location of the robot within the stored maps are detected.

A robot for generating multiple emotions is provided. The robot includes a sensor unit sensing external environment information, a database unit storing a predetermined list including information on types of behavior the robot is allowed, a user's reaction corresponding to each behavior of the robot, and favorite objects of the robot, a primary emotion generation unit generating an emotion corresponding to characteristics of the sensed information when the sensed information exceeds a predetermined threshold value, and a secondary emotion generation unit generating an emotion corresponding to characteristics of the sensed information based on the information sensed by the sensor unit, the list stored in the database unit, the amount of internal power of the robot, internal information on the robot indicating the existence of an operational error and an elapse of time.

A robot includes a robot arm, a force sensor, and a control unit configured to control the operation of the robot art. The control unit initializes the force sensor while the robot arm is moving at uniform speed. It is preferable that the control unit initializes the force sensor while the robot arm is moving at the uniform speed and the amplitude of a detection value of the force sensor is smaller than a threshold.

The invention provides a monocular vision material loading and unloading robot system of a numerical control lathe and a method thereof. A traditional material loading and unloading robot of the lathe is utilized, and an industrial camera is mounted at the upper part of a material bin; collected image signals are transmitted to a digital signal processor (DSP); and dimension characteristics of bar materials of the lathe are determined through utilizing the DSP to process the collected images. The grasping scheme of parts is determined according to a comparison of the dimension characteristics and data in a part library in an industrial control computer. The loading and the unloading of the bar material of each type need to be manually taught for the first time; and if the bar material of the type occurs once more, the DSP calls out a material loading and unloading scheme and an intelligent recognizing and grasping scheme of the bar material of the type through comparing the bar material with the images collected in the part library, and sends the schemes to the robot, and then the schemes are executed by the robot, so that intelligent material loading and unloading by the robot is finally realized.

A hardware and software method, system and apparatus comprising an autonomous all weather outdoor cleaning robot designed to identify, and clean various outdoor household objects including but not limited to personal automobiles and other vehicles. The robot autonomously navigates to a designated area and scans the vehicle or object to determine the optimum cleaning routine. The robot learns its working environment by comparing scanned vehicles and outdoor objects with its existing database for future reference. The robot also compares and stores navigation data, which correlate to areas previously visited to increase efficiency for future work by reducing travel and scanning times. The Present Invention focuses on autonomous outdoor cleaning multi-purpose robots. The robots utilize microprocessors to control cleaning, navigation and perception. More specifically, the robots use multi-segmented arms to perform needful chores. Even more specifically, a robot can adapt and learn from its environment while performing useful tasks.

A walking robot having joints which move using a torque servo, a posture of the robot being stably controlled, and a method of controlling a posture of the robot. It is possible to maintain a stable angle of the upper body while keeping an erect posture and balance using the COG of the robot and the inclination and the direction of the upper body and the pelvis of the robot, even in an external variation including external force or an inclination angle of the ground. Even in a state in which terrain information is not known in advance, the robot may keep an erect posture in a direction of gravity. Even when a plane where the robot stands is gradually inclined, the postures of the upper body and the legs of the robot may be kept while actively changing the angle of the ankle joint.

The invention relates to a system of an indoor robot for locating a mobile terminal based on bluetooth technology. The system of the indoor robot for locating the mobile terminal based on bluetooth technology comprises an indoor robot, a server, a bluetooth node and a mobile terminal; the indoor robot receives the instruction from the server for scanning indoor scene, returning the scanned data to the server for establishing initial indoor map; the server sets the icon of the bluetooth node on the obtained indoor map and calculates the corresponding coordinate of the bluetooth node for forming a standard indoor map; setting bluetooth node in practical scene by contrasting the coordinate of the indoor bluetooth node; establishing association relationship between the bluetooth node and the server; the mobile terminal is conneted with the bluetooth node and is used for sending the information of the bluetooth node to the server; the server detects the location of the bluetooth node, which is nearest to the mobile terminal and obtains the coordinate A of the bluetooth node; the absolute coordinate B of the mobile terminal is determined according to the location relationship between the bluetooth node and the mobile terminal; the server sends the information of the coordinate B to the robot; the robot locates the mobile terminal.

A robot joint and a robot using the robot joint is provided. The robot joint includes a first part and a second part configured to be rotatable with each other around a joint axis. A flexible printed circuit board is further included with a first fixing point and a second fixing point respectively fastened to the first part and the second part. The flexible printed circuit board is spiral-shaped prior to bending. With the relative rotation of the first part and the second part, the flexible printed circuit board is bent at various bending portions. This makes the robot joint more compact with a larger rotation range and a long lifetime in a cost effective way.

A robot control system includes a scenario receiver to receive a robot control program or scenario, a scenario register to incorporate the received scenario in the robot, a scenario selector to select a scenario for execution thereof from scenarios beforehand incorporated in the robot and scenarios added to the robot, and a scenario executor to execute the selected scenario. Therefore, there are provided a robot, a robot control system, and a program of the same in which a new control program module can be added to a robot control program.

The invention relates to a clamping device and method for a two-for-one twister winding bobbin. The clamping device comprises an electric actuator trolley with a lifting platform, a robot is installedon the lifting platform, a telescoping mechanism is fixedly installed on one side of an operating arm of the robot, and a clamping mechanism is installed at the front end of the telescoping mechanism. Two clamping jaws are installed on the head of the clamping mechanism, and a lifting manipulator is installed at the front end of the operating arm of the robot. The clamping device clamps the winding bobbin from a two-for-one twister winding mechanism and then places the winding bobbin to the trolley, and the whole process is automatically controlled; the operation precision is high, the stability is high, manpower is saved, and the production efficiency is greatly improved.

A security robot that boards a mobile unit to protect the mobile unit from theft is provided. The robot has an internal sensor such as an acceleration sensor installed at the robot and generating an output indicative of condition inside the robot, an external sensor such as CCD cameras installed at the robot and generating an output indicative of condition outside the robot, an abnormality degree discriminator discriminating a degree of abnormality that the mobile unit is experiencing based on information obtained from the outputs of the internal sensor and the external sensor, and an action controller taking preventive action in response to the discriminated degree of abnormality. With this, it becomes possible to discriminate the degree of abnormal situations and act accordingly in response.

The invention relates to grinding and drawing equipment for doorknobs. The grinding and drawing equipment comprises a grinding and drawing mechanism, a dust collection mechanism, a control cabinet and a robot, wherein a fixture is arranged on the robot; the grinding and drawing mechanism comprises a grinding assembly and a polishing assembly, the polishing assembly comprises a cloth wheel and a polishing motor, and the cloth wheel is driven to rotate by the polishing motor; a wax feeding mechanism is arranged on the grinding and drawing mechanism, the wax feeding mechanism is controlled by the control cabinet, and the wax feeding mechanism comprises a clamping assembly and a push assembly; the dust collection mechanism comprises a dust collection cabinet and a dust collection cover which is arranged on the grinding and drawing mechanism, a dust collection assembly and a filter assembly are arranged on the dust collection cabinet, and a dust collection opening is formed in the dust collection cabinet and communicates with an inner cavity of the dust collection cover; and the fixture comprises a clamping mechanism which is used for taking and putting the doorknobs and a turnover mechanism which is used for driving the clamping mechanism to turn over. The grinding and drawing equipment has the advantages of simple and reasonable structure, good grinding and polishing quality and high efficiency, dust particles which are generated during operation can be absorbed in time, the cloth wheel can be automatically waxed at regular time so as to guarantee the polishing effect, and the fixture has a turnover function so as to guarantee the polishing quality.

The invention particularly relates to a robot map-free navigation method based on deep safety reinforcement learning, which specifically comprises the following steps: initializing a training environment, and designing a mobile robot reward function and a safety risk cost function; combining image information and laser radar information detected by a sensor with target information and motion information of the mobile robot, processing state information and then outputting decision actions to the robot through an Actor network, so the robot executes the actions output by the Actor network, and new state observation and reward information at the next moment is obtained from the environment; storing experience obtained by interaction between the robot and the environment in an experience pool, and updating network parameters regularly; and judging whether the training is finished or not, and applying the trained model to a real mobile robot for navigation. According to the method, based on deep safety reinforcement learning of an actor-critic-safety (ACS) framework, by introducing a constraint strategy optimization (CPO) algorithm, the safety of reinforcement learning for a map-free navigation task is improved.

An arm unit having an improved configuration to simply change stiffness according to varying situations and a robot having the same are provided. The robot includes an arm unit, and a drive unit to drive the arm unit. The arm unit includes a plurality of links to come into rolling contact with one another via at least two regions thereof, and a plurality of wires penetrating the plurality of links to connect the links to one another.

An processor moves an arm to rotate a calibration pattern around three rotation axes linearly independent from each other and to stop at a plurality of rotation positions. A processor causes a camera to capture a pattern image of the calibration pattern at the plurality of rotation positions. A processor estimates parameters of the camera for calculating a coordinate transformation between a target coordinate system and a camera coordinate system using a pattern image captured at the plurality of rotation positions.

The invention discloses a self-adaption path tracking method of an inspection robot. The method comprises the steps that a plurality of magnetic guide rails used for enabling a navigation robot to walk are laid in a working place, the magnetic guide rails form a plurality of actual operating paths of the robot, and magnetic strips are arranged at the monitoring point positions of the operating paths and between the adjacent operating paths; according to the actual operating paths of the working place, an electronic map of the corresponding robot operating path is set up; according to the electronic maps, running original points and stopping points of the robot are set according to the electronic maps, the turning angle from the current inspection operating path to the next inspection operating path is calculated, and an inspection task list is generated; the inspection task list is issued to the robot, and the robot operates on the actual operation paths according to the inspection task list. The method can visually determine the current running path of the robot, and the operating paths of the robot can be reliably tracked.

A robotic joint assembly includes a first structural member, a second structural member, and a rolling flexure joint joining the first structural member to the second structural member to provide at least one degree of freedom between the first and second structural members. The rolling flexure joint includes first and second flexible hinge members each having one end secured to the first structural member and an opposing end secured to the second structural member. The first and second flexible hinge members cross one another between the first and second structural members.

The invention discloses a full-automatic plate cleaning system, which comprises an AGV (automatic guided vehicle), wherein the AGV is provided with a laser navigation system, the front and back parts of the AGV are respectively provided with a radar scanning head, the AGV is provided with a robot, the front end of the robot is provided with a scraper combining device, and the robot of the AGV automatically travels and positions in a chemical fiber workshop, and automatically cruises and positions according to the position of the area needing plate cleaning, so the automatic plate cleaning is realized. The system has the advantages that the heavy manual plate cleaning is replaced, the uniformity of plate cleaning is guaranteed, the quality of plate surface is guaranteed, and the quality of products is improved; the labor strength of workers is decreased, so the demission rate of workers is reduced; the operation is flexible, the position and attitude of space are flexible, the moving speed is high, the plate cleaning efficiency and quality are high, the system is suitable for flexible automatic production lines, and the purposes of improving production efficiency and saving labor are realized.

The invention discloses a multi-mobile-robot high-precision collaborative tracking method based on an ultra-wideband technology. The method comprises the following steps: a multi-mobile-robot collaborative tracking experiment platform is built under an ROS; a multi-node ranging network is built through an ultra-wideband sensor, and information of the distances between robots and between the robots and an anchor point is obtained at the same time; an ultra-wideband ranging error weakening algorithm based on Bayesian filtering is provided for effectively weakening LOS and NLOS errors of obtained ranging values to restore real distance values; position information of the mobile robots is estimated by adopting a cooperative tracking algorithm, namely, a collaborative particle filtering algorithm based on Gibbs sampling; and real tracks of corresponding motions of the robots are obtained by adopting an OptiTrack motion capturing system, and a collaborative tracking algorithm is evaluated. The LOS and NLOS errors in a complex environment can be effectively weakened; the restored distances are real; the position information of each robot at any moment can be accurately determined; and multi-robot collaborative tracking is realized.

A robot includes: a base; a first arm rotatably coupled to the base about a first axis of rotation; a second arm rotatably coupled to the first arm about a second axis of rotation, the second axis of rotation being an axis perpendicular to the first axis of rotation or being an axis parallel to an axis perpendicular to the first axis of rotation; a third arm rotatably coupled to the second arm about a third axis of rotation, the third axis of rotation being an axis parallel to the second axis of rotation; a first angular velocity sensor installed to the first arm and having an angular velocity detection axis parallel to the first axis of rotation; and a second angular velocity sensor installed to the third arm and having an angular velocity detection axis parallel to the third axis of rotation.