A robotic transport system including a drive section connected to a frame. An articulated arm coupled to the drive section providing the arm with arm motion in a collaborative space, corresponding to the frame, from a first location, in which the arm has a first shape, to another different location of the arm in the collaborative space in which the arm has another different shape. An electromagnetic affection envelope borne by the arm so that the electromagnetic affection envelope is defined by the arm and is close coupled and substantially conformal to at least part of a dynamic contour of each different arm shape of the arm. A controller connected to the drive section and configured so that in response to detection of entry of a collaborative object into the electromagnetic affection envelope, the controller commands a change in at least one predetermined characteristic of the arm motion.

An autonomous moving transfer robot, including a main body with a base and a vertical plate; a traveling mechanism having a driving wheel and a driven wheel mounted on the base; a working mechanism having two manipulators, each with a mechanical arm, a proximal end of which is connected to the vertical plate, and a clamp pivotally connected to a distal end of the mechanical arm; the mechanical arms enable the clamps to reach a desired position, and the manipulators drive the clamps to grip and release a target object; a carrying mechanism having a plurality of plate-shaped carrying members for carrying the target object, the carrying members being fixed on the same side of the vertical plate, and arranged at intervals along the vertical direction; and a control system for controlling the walking/stopping and steering of the traveling mechanism and the movement of the manipulators.

A robot includes a propulsion system configured to move the robot within an operations venue, a wireless interface configured to communicatively connect the robot with a wireless network, a touchscreen display device, a contactless reader device, a memory device, a processor. The processor is configured to receive, from a robot management system (RMS) and via the wireless interface, a relocation request identifying a service location within the operations venue and at which the robot is to provide a service, control the propulsion system to navigate the robot to the service location in response to receiving the relocation request, receive, from a user, an authorization request to add funds to a digital wallet of the user, and transmit, via the wireless interface, an authorization request message to a funds transfer data center associated with the user, the authorization request message configured to request adding the funds to the digital wallet of the user.

Robots, including robot arms, can interface with other modules to affect the world surrounding the robot. However, designing modules from scratch when human analogues exist is not efficient. In an embodiment, a mechanical tool, converted from human use, to be used by robots includes a monolithic adaptor having two interface components. The two interface components include a first interface component cabal be of mating with an actuated mechanism on the robot side, the second interface capable of clamping to an existing utensil. In such a way, utensils that are intended for humans can be adapted for robots and robotic arms.

A camera and a robot system are provided. The camera includes a camera body attached to a tip of a robot arm and a camera unit housed in the camera body. The camera unit has a plurality camera devices that are different in optical characteristics for imaging a workpiece.

In an embodiment, a method includes identifying a force and torque for a robot to accomplish a task and identifying context of a portion of a movement plan indicating motion of the robot to perform the task. Based on the identified force, torque, and context, a context specific torque is determined for at least one aspect of the robot while the robot executes the portion of the movement plan. In turn, a control signal is generated for the at least one aspect of the robot to operate in accordance with the determined context specific torque.

Current technologies allow a robot to acquire a tool only if the tool is in a set known location, such as in a rack. In an embodiment, a method and corresponding system, can determine the previously unknown pose of a tool freely placed in an environment. The method can then calculate a trajectory that allows for a robot to move from its current position to the tool and attach with the tool. In such a way, tools can be located and used by a robot when placed at any location in an environment.

A problem with current food service robots is making the robots safe to work around food. A solution provided by the present disclosure is a food-safe tool switcher and corresponding tool. The tool switcher can mate with a variety of tools, which can be molded or 3D printed out of food-safe materials into a single-part, instead of constructed modularly. This provides for easier cleaning.

The present invention relates to safety in a dynamic 3D healthcare environment. The invention in particular relates to a medical safety-system for dynamic 3D healthcare environments, a medical examination system with motorized equipment, an image acquisition arrangement, and a method for providing safe movements in dynamic 3D healthcare environments. In order to provide improved safety in dynamic 3D healthcare environments with a facilitated adaptability, a medical safety-system (10) for dynamic 3D healthcare environments is provided, comprising a detection system (12), a processing unit (14), and an interface unit (16). The detection system comprises at least one sensor arrangement (18) adapted to provide depth information of at least a part of an observed scene (22). The processing unit comprises a correlation unit (24) adapted to correlate the depth information. The processing unit comprises a generation unit (26) adapted to generate a 3D free space model (32). The interface unit is adapted to provide the 3D free space model.

A method performed by a risk management node for autonomous devices. The risk management node may determine state parameters from a representation of an environment. The representation of the environment may include an object, an autonomous device, and a set of safety zones. The risk management node may determine a reward value based on evaluating a risk of a hazard with the object based on the determined state parameters and current location and speed of the autonomous device relative to a safety zone from the set of safety zones. The risk management node may determine a control parameter based on the determined reward value, and may initiate sending the control parameter to the autonomous device to control action of the autonomous device. The control parameter may be dynamically adapted to reduce the risk of hazard with the object based on reinforcement learning feedback from the reward value.