A synchronization controller performs control so that operator motion data is transmitted to a robot when a synchronization switch is set to ON which allows synchronization of a rotational motion of an operator with a rotational motion of the robot. An image correction unit, when there is a difference between a first rotation angle of the operator and a second rotation angle of the robot, corrects a cutout range of an image so as to be equal to a range corresponding to the first rotation angle. The synchronization controller performs control so that the operator motion data is not transmitted to the robot when the synchronization switch is set to OFF which does not allow synchronization of a rotational motion of the operator with a rotational motion. The image correction unit corrects the cutout range so as to be equal to a range corresponding to the first rotation angle.

A method of controlling an exoskeleton mobility device includes executing a control application with an electronic controller to perform: sensing at least one of an angular position or angular velocity of a stance/trailing leg during a single support dynamic state of a gait cycle; determining whether the angular position satisfies an advanced gait threshold; and when it is determined that the angular position satisfies the advanced gait threshold, the control system employs advanced gait control in which a duration of double support states between single support dynamic states is minimized. For advanced gait control the control system controls such that hip joint component velocities are non-zero during transitions from swing states to stance states, and knee joint component velocities are non-zero during transitions from stance states to swing states of the gait cycle. Each step of the gait cycle thus blends into a next step by way of hip joint component swing-to-stance extension, and/or knee joint component stance-to-swing flexion.

Systems and techniques for target object retrieval may include or utilize an image capture device, and a task planner. The image capture device may receive an image of an environment including identified objects. The task planner may determine potential actions, calculate a probability of success of achieving a desired goal for each of the potential actions based on an action prediction model, the corresponding potential action, a current state of the environment, any previously taken action, and the desired goal, select a potential action associated with the highest calculated probability of success, and simulate a subsequent state based on the selected potential action and a dynamic prediction model. The potential actions may be associated with an identified object of the identified objects and an operation to be performed on the identified object.

The invention relates to grasping system comprising a grasping head (15) for a sheet transporting device, in particular for transporting an insert sheet to be inserted between rows of folding boxes in a receptacle, the grasping head (15) having at least one support frame (80) and a plurality of aspiration elements (17, 18). The aspiration elements (17, 18) are mounted on holding elements (50) which are received on the support frame (80) so as to be displaceable with respect to the support frame (80).

A method of controlling a robot includes: obtaining an inertia matrix and a slack variable of the robot, and determining a momentum equation of the robot according to the inertia matrix and the slack variable; obtaining reference joint angles corresponding to a reference action of the robot; determining an optimization objective function of the momentum equation according to a first preset weight coefficient of the slack variable and a second preset weight coefficient of the reference joint angles; and determining joint angles of the robot according to the optimization objective function, and driving the robot to move according to the joint angles of the robot.

A joint actuator of a robot includes a casing, a driving device, a driving shaft, a reducer, and a sensor. The driving device is disposed in the casing. The driving shaft is disposed in the casing and connected to the driving device, and the driving device is adapted to drive the driving shaft to rotate. The reducer is disposed in the casing and includes a power input component and a power output component. The power input component and the power output component are sleeved around the driving shaft, and the power input component is connected between the driving shaft and the power output component. The sensor is disposed on the power input component or the casing.

A cover for an automated robot includes elastic sheets that are adhered to each other in a geometry. The geometry is configured to allow the elastic sheets to expand and contract while the automated robot moves within its range of motion. The elastic sheets are attached to the automated robot by elasticity of the elastic sheets. A first group of the elastic sheets forms an elastic collar configured to grip the automated robot at a distal end and a proximal end of the cover in a non-breakable manner such that during operation of the robot, the elastic sheets hold their elasticity and integrity without breaking.

An inspection robot incudes a robot body, at least two sensors, a drive module, a stability assist device and an actuator. The at least two sensors are positioned to interrogate an inspection surface and are communicatively coupled to the robot body. The drive module includes at least two wheels that engage the inspection surface. The drive module is coupled to the robot body. The stability assist device is coupled to at least one of the robot body or the drive module. The actuator is coupled to the stability assist device at a first end, and coupled to one of the drive module or the robot body at a second end. The actuator is structured to selectively move the stability assist device between a first position and a second position. The first position includes a stored position. The second position includes a deployed position.

Disclosed herein are implementations that relate to determining tactile information using encoders coupled to one or more fingers of a robotic gripping device. The robotic gripping device may include a finger. The finger may include a deformable front face, a base link, a first encoder, and a second encoder. The first encoder may be coupled to the base link of the finger, and configured to detect a grip angle of the finger while the robotic gripping device is gripping an object. The second encoder may be coupled to the deformable front face of the given finger, proximate to the base link of the finger. Additionally, the second encoder may be configured to detect a bend angle of the deformable front face of the finger while the robotic gripping device is gripping the object.

A robot includes a plurality of joints including a first joint and a second joint that rotates in a direction different from a rotation direction of the first joint, a plurality of arm members including a first arm member provided to be rotatable with respect to a base via the first joint, and a first angular velocity sensor provided in the first arm member or the first joint. A first inertial sensor is provided in the first arm member (or a portion that rotates together with the first arm member in the first joint). The plurality of joints are controlled on the basis of an output of the first inertial sensor.