Abstract: Systems and methods for kinematic optimization with shared robotic degrees-of-freedom are provided. In one aspect, a robotic medical system includes a base, an adjustable arm support coupled to the base, and at least one robotic arm coupled to the adjustable arm support. The at least one robotic arm is further configured to be coupled to a medical tool that is configured to be delivered through an incision or natural orifice of a patient. The system further includes a processor configured to adjust a position of the adjustable arm support and the at least one robotic arm while maintaining a remote center of movement of the tool.

Abstract: The present disclosure provides a driving assistance method and system for a mobile vehicle to avoid hazards in its environment. This system can detect hazards in a vehicle's surroundings and unobtrusively adjust its driving module's driving commands when necessary to avoid hazards. The system is configured to allow it to provide interference-free assistance to the operator of a human-operated vehicle or the motion controller of an autonomous vehicle to avoid hazards.

Abstract: [Object] To make it possible to perform gravity compensation with a more compact and lightweight configuration. [Solution] There is provided a medical support arm apparatus including: an arm section including multiple joint sections, and configured such that a medical tool is provided on a front end; an actuator at least provided in a compensated joint section that is a target of gravity compensation among the joint sections, and including a torque sensor that detects a torque acting on the compensated joint section; and a gravity compensation mechanism that imparts to the compensated joint section a compensating torque in a direction that cancels out a load torque due to a self-weight of the arm section acting on the compensated joint section.

Abstract: A large area surveillance method is based on weighted double deep Q-learning. A robot which of Q-value table including a QA-value table and QB-value table is provided, an unidentified object enters a large space to trigger the robot, and the robot perceives a current state s and determines whether the current state s is a target state, if yes, the robot reaches a next state and monitors the unidentified object, and if not, the robot reaches a next state, obtains a reward value according to the next state, selectively updates a QA-value or QB-value with equal probability, and then updates a Q-value until convergence to obtain an optimal surveillance strategy. The problems of a limited surveillance area and camera capacity are resolved, and the synchronization of multiple cameras doesn't need to be considered, and thus the cost is reduced. A large area surveillance robot is also disclosed.

Abstract: A robotic system includes a communication system coupled to communicate with one or more external devices that include first user preferences. The robotic system also includes memory storing a database including second user preferences. A controller is coupled to the user interface, the communication system, and the memory, and the controller includes logic that when executed by the controller causes the robotic system to perform operations. Operations may include retrieving the first user preferences using the communication system; retrieving the second user preferences from the database; resolving conflicts between the first user preferences and the second user preferences to create a final set of user preferences; and configuring the robotic system with the revised set of user preferences.

Abstract: A system is applied for calibrating a map data configured for a mobile platform to generate a calibration map after an impact, and includes a map-generating module, a positioning module, an impact-detecting module, an image-analyzing module, a coordinate-reconstructing module and a map data-calibrating module. The map-generating module generates a global map with a first coordinate system. The positioning module positions a mobile platform before the impact. The impact detecting module generates a reconstructing signal after the impact upon the mobile platform is detected. The image-analyzing module searches and analyzes an image of a feature object. The coordinate-reconstructing module re-establishes a second coordinate system, and the map data-calibrating module calibrates the global map to generate the calibration map after the impact.

Abstract: A robot controlling device inputs an operation state of a worker from a sensor. The robot controlling device calculates a position vector and a velocity vector of each of the robot and the worker from the operation state of the robot and the operation state of the worker, generates a risk determination area (an area where the robot is stopped, an area where the robot is evacuated, and an area where the robot is decelerated) around each of the robot and the worker, determines a risk based on overlapping between the generated risk determination area of the robot and the generated risk determination area of the worker, generates a collision avoidance trajectory in which collision between the robot and the worker is avoided from a result of the determination, and controls the robot based on the generated collision avoidance trajectory.

Abstract: Technologies for dynamic noise cancelation using noise patterns are described. One device includes a moveable assembly having first and second degrees of freedom. A component within the base assembly radiates electromagnetic energy in a radiation pattern as a noise source when operating and an antenna, coupled to a receiver, is disposed on the support member. The processing device, using noise profile data about the radiation pattern of the noise source, determines that the component is operating and a current angle between the component and the antenna. The processing device determines a difference value between the current angle and the first angle and causes the moveable assembly to move at least one of the antenna or the base assembly according to the difference value.

Abstract: An embodiment includes a combine having a feeder housing for receiving harvested crop, a separating system for threshing the harvested crop to separate grain from residue, a grain bin for storing the separated grain, a bin level sensor for detecting grain in the grain bin; and a controller that controls the combine. The controller is configured to generate a usable operating range by discarding a selected range of values from an operating range of the bin level sensor, generate a shifted operating range by shifting the usable operating range by a shift value, receive a first value indicating a level of grain in the grain bin, generate a second value by shifting the first value by the shift value, and present the second value to an operator of the combine.

Abstract: Safety system (100) for an industrial environment (10) comprising a robotic machine wherein at least a moving head (12) of the robotic machine is movable within a first area (1) and a second area (2) of the industrial environment (10), the safety system (100) comprising: a light curtain (110) extending between a first vertical support (112) and a second vertical support (114) to cover both the first area (1) and the second area (2); a head position sensor (130) adapted to detect the position of the moving head (12) within the first area (1) and the second area (2); a safety control unit (140); wherein the light curtain (110) comprises a first couple of two TOF sensors (F1, F3) respectively positioned on the first and second vertical supports (112, 114), the safety control unit (140) being adapted to process output signals received from the TOF sensors (F1, F3) and the head position sensor (130) so as to selectively and dynamically secure the first area (1) and the second area (2).

Abstract: A flexible driver, a robot joint, a robot and an exoskeleton robot, the transmission mechanism including an active rotating member, a driven rotating member and a rope, which form a rope drive relationship; wherein, the rope is tightly wound around rotating surfaces of the active rotating member and the driven rotating member, and a rotational central axis of the active rotating member is perpendicular to a rotational central axis of the driven rotating member. An output end of the driving mechanism is connected to the active rotating member, to drive rotation of the active rotating member. The output mechanism includes a flexible driving part, and an output part which is used for connecting to an external actuator. The driven rotating member drives rotation of the output part through the flexible driving part. The flexible driver drives flexibly the actuator through a compact structure as well as reliable and high-efficient transmission.

Abstract: There is provided a robot hand that grips and positions a work with a certain gripping force, and that rapidly conveys the work to execute assembling after gripping the work.

Abstract: A teaching device for performing teaching operations of a robot includes a selection unit which, during a teaching operation or after a teaching operation of the robot, moves among a plurality of lines of a program of the robot and selects a single line, an error calculation unit which calculates, after the robot has been moved by hand-guiding or jog-feeding to a teaching point which has already been taught in the selected single line, a position error between the teaching point and a position of the robot after movement, and an instruction unit which instructs to re-teach the teaching point when the position error is within a predetermined range.

Abstract: Unmanned vehicles can be terrestrial, aerial, nautical, or multi-mode. Unmanned vehicles may efficiently accomplish tasks by autonomously charging or replacing its power source.

Abstract: A method for robot control using visual feedback including determining a generative model S100, training the generative model S200, and controlling the robot using the trained generative model S300.

Abstract: In various embodiments, a tool plate configured to receive a robotic end effector is removably matable with a robot appendage via a quick-release mechanism.

Abstract: A system for calibration of a robot includes an imaging system (136) including two or more cameras (132). A registration device (120) is configured to align positions of a light spot (140) on a reference platform as detected by the two or more cameras with robot positions corresponding with the light spot positions to register an imaging system coordinate system (156) with a robot coordinate system (150).

Abstract: There is provided a robot hand that grips and positions a work with a certain gripping force, and that rapidly conveys the work to execute assembling after gripping the work.

Abstract: A robot system including a master device configured to receive a manipulating instruction from an operator and transmit the received manipulating instruction as a manipulating input signal, a plurality of slave robots configured to operate according to the manipulating input signal transmitted from the master device, a management control device configured to manage operations of the plurality of slave robots, respectively, and an output device configured to output information transmitted from the management control device. The management control device determines a priority of transmitting the manipulating input signal from the master device to the slave robot among the plurality of slave robots that are in a standby state of the manipulating input signal, and transmits information related to the determined priority to the output device. Thus, the operator is able to efficiently transmit the manipulating input signal to the plurality of slave robots through the master device.

Abstract: In some implementations, a UAV flight system can dynamically adjust UAV flight operations based on radio frequency (RF) signal data. For example, the flight system can determine an initial flight plan for inspecting a RF transmitter and configure a UAV to perform an aerial inspection of the RF transmitter. Once airborne, the UAV can collect RF signal data and the flight system can automatically adjust the flight plan to avoid RF signal interference and/or damage to the UAV based on the collected RF signal data. In some implementations, the UAV can collect RF signal data and generate a three-dimensional received signal strength map that describes the received signal strength at various locations within a volumetric area around the RF transmitter. In some implementations, the UAV can collect RF signal data and determine whether a RF signal transmitter is properly aligned.