An augmented reality (AR) system for production-tuning of parameters for a visual tracking robotic picking system. The robotic picking system includes one or more robots configured to pick randomly-placed and randomly-oriented parts off a conveyor belt and place the parts in an available position, either on a second moving conveyor belt or on a stationary device such as a pallet. A visual tracking system identifies position and orientation of the parts on the feed conveyor. The AR system allows picking system tuning parameters including upstream, discard and downstream boundary locations to be visualized and controlled, real-time robot pick/place operations to be viewed with virtual boundaries, and system performance parameters such as part throughput rate and part allocation by robot to be viewed. The AR system also allows virtual parts to be used in simulations, either instead of or in addition to real parts.

Disclosed herein is a method. The method includes moving a payload through a motion path proximate at least one sensor. Detecting edges of the payload such that at least three points on at least two edges are detected. Capturing a position when the at least one sensor detects at least one edge of the payload.

A system and a method for controlling a system are described. The system includes a plurality of sensors configured to be worn on a user's body. The plurality of sensors are configured to generate a plurality of signals in response to forces applied by corresponding portions of a user's body. The system also includes a processor configured to receive the plurality of signals. The processor is configured to identify commands from the user based at least partly on the plurality of signals and an operational range and/or null space of the plurality of signals for a task being performed by the user. The processor is configured to control an operation of the system based on the identified commands.

A robot apparatus is provided on a stand and includes a control apparatus that controls the robot apparatus. The control apparatus calculates vibration generated on the stand based on model data of the stand and trajectory data of an operation of the robot apparatus and corrects the trajectory data based on the vibration.

A robotic surgical system is disclosed including an end effector movable relative to a tissue of a patient. The robotic surgical system further includes a control circuit configured to determine a distance between the end effector and the tissue and cause the end effector to be transitioned between a locked configuration and an unlocked configuration based on the distance.

Systems and methods for utilizing interactive Gaussian processes for crowd navigation are provided. In one embodiment, a system for a crowd navigation includes a processor, a statistical module, and a model module. The processor receives sensor data. The statistical module identifies a number of agents in a physical environment based on the sensor data. The statistical module further calculates a set of Gaussian processes. The set of Gaussian processes includes a Gaussian Process for each agent of the number of agents. The statistical module further determines an objective function based on an intent and a flexibility for the host and at least two agent of the plurality of agents. The model module generates a model of the number of agents by applying the objective function to the set of Gaussian processes. The model includes a convex configuration of the number of agents in the physical environment.

This disclosure relates to a technology for grasping an object while adjusting a grasping force according to stiffness of the object measured by a tactile sensor module, especially to a robot-hand, which includes a tactile sensor module for measuring a normal force applied when grasping an object, a phalange sensor module having an actuator to generate a driving force and configured to measure a rotational displacement of a motor, and a hand back control unit for operating the actuator by generating a desired displacement signal to control a grasping force so that a grasping motion is stably and accurately achieved by applying a minimum grasping force to soft object with no sliding and minimized deformation, wherein the desired displacement signal is generated based on stiffness which is calculated from the normal force data and the rotational displacement data.

A method of mitigating slip conditions and estimating ground friction for a robot having a plurality of feet includes receiving a first coefficient of friction corresponding to a ground surface. The method also includes determining whether one of the plurality of feet is in contact with the ground surface, and when a first foot of the plurality feet is in contact with the ground surface, setting a second coefficient of friction associated with the first foot equal to the first coefficient of friction. The method also includes determining a measured velocity of the first foot relative to the ground surface, and adjusting the second coefficient of friction of the first foot based on the measured velocity of the foot. One of the plurality of feet of the robot applies a force on the ground surface based on the adjusted second coefficient of friction.

A fiber includes M primary cores and N redundant cores, where M an integer is greater than two and N is an integer greater than one. Interferometric circuitry detects interferometric pattern data associated with the M primary cores and the N redundant cores when the optical fiber is placed into a sensing position. Data processing circuitry calculates a primary core fiber bend value for the M primary cores and a redundant core fiber bend value for the N redundant cores based on a predetermined geometry of the M primary cores and the N redundant cores in the fiber and detected interferometric pattern data associated with the M primary cores and the N redundant cores. The primary core fiber bend value and the redundant core fiber bend value are compared in a comparison. The detected data for the M primary cores is determined reliable or unreliable based on the comparison. A signal is generated in response to an unreliable determination.

Systems and methods relating to an end-of-arm-tool that can be used in connection with the automated handling of vehicles, such as unmanned aerial vehicles (UAV), are disclosed. The described systems and methods can include an end-of-arm-tool which may include a load cell coupled to an end effector, such that forces and torques exerted on the end effector are translated onto the load cell. The measurement of forces and torques exerted on the end effector can facilitate determining various information in connection with the aerial vehicle, such as inertial properties or parameters associated with the aerial vehicle, the quality of the engagement between the end effector and the aerial vehicle, as well as diagnostic information in connection with the aerial vehicle. Additionally, the use of a load cell to measure forces and torques exerted on the end effector can eliminate the need to utilize traditional contact sensors typically required on the contact surfaces of an end-of-arm tool.