A delivery robot includes a propulsion system, a storage area arranged to contain at least one item for delivery, a wireless interface, a memory device, and a processor. The processor is configured to receive, from a robot management system (RMS) and via the wireless interface, a delivery request, wherein the delivery request identifies at least the item contained within the storage area, a delivery location, and a recipient. The processor is also configured to control the propulsion system to navigate the delivery robot to the delivery location in response to receiving the delivery request, receive an authentication credential from the recipient, authenticate the recipient based upon the authentication credential, and in response to authenticating the recipient, control the storage area to provide the at least one item contained within the storage area to the recipient.

A robot is described. The robot includes a camera device, a memory device, and a processor configured to execute instructions stored in the memory device. The instructions, when executed by the processor, cause the processor to receive an input prompting the robot to navigate to a location in a venue for providing photo services with the camera device and cause the robot to navigate to the location. The instructions further cause the processor to capture, by the camera device, at least one photo at the location and provide access to a copy of the at least one photo to an authorized person.

A kiosk robot includes a propulsion system configured to allow the kiosk robot to move within an operations venue, a wireless interface configured to allow wireless networked communication between the kiosk robot and a wireless network, a touchscreen display device, a memory device, and a processor. The robot 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 kiosk robot is to provide kiosk functionality, in response to receiving the relocation request, control the propulsion system to navigate the kiosk robot to the service location, and provide a kiosk graphical user interface (GUI) using the touchscreen display device, the kiosk GUI provides kiosk functionality to a user at the service location.

A robot includes a secure storage area, a camera, a propulsion system, a memory device, and a processor. The processor is configured to receive a request for drop box services within a casino, the request including a pickup location and a requestor, control the propulsion system to navigate the robot to the pickup location within the casino, and authenticate an identity of the requestor in response to arriving at the pickup location. The processor is also configured to provide the requestor access to the secure storage area in response to authenticating the identity of the requestor, detect receipt, from the requestor, of at least one value instrument within the secure storage area, lock the secure storage area, and provide a receipt to the requestor in response to receiving the at least one value instrument within the secure storage area.

The invention relates to a method for operating a robot and to a robot, wherein the robot comprises movable elements ELE.sub.m which can be driven by actuators AKT.sub.n, and is designed to carry out a movement B with the elements ELE.sub.m, and wherein the robot comprises a detection system for determining signals W.sub.G.sub.k.sub.B(t) of a group of measurement variables G.sub.k.sup.B characterizing the movement B of the elements ELE.sub.m and the interactions thereof with an environment. The proposed method comprises the following steps: determining (10), by means of the detection system, reference signals W.sub.G.sub.k.sub.B.sup.R(t) of the measurement variables G.sub.k.sup.B during at least one execution of the movement B of the elements ELE.sub.m which is in the form of a reference movement B; automatically determining (102), based on the reference signals W.sub.G.sub.k.sub.B.sup.R (t), using an adaptive method, a mathematical model M.sub.G.sub.k.sub.B for describing the reference movement B including the reference interactions by the measurement variables G.sub.k.sup.B, during a normal execution of the movement B by the model M.sub.G.sub.k.sub.B; predicting (103) signals W.sub.G.sub.k.sub.B.sup.P(t) for describing the reference movement B, including the reference interactions by the measurement variables G.sub.k.sup.B; comparing (104) the signals W.sub.G.sub.k.sub.B(t) determined currently during the normal execution of the movement B with the predicted signals W.sub.G.sub.k.sub.B(t) for determining a deviation Δ.sub.G.sub.k.sub.B(t) between W.sub.G.sub.k.sub.B.sup.P(t) and in W.sub.G.sub.k.sub.B; insofar as the deviation Δ.sub.G.sub.k.sub.B(t) does not meet a predefined condition BED.sub.G.sub.k.sub.B, based on the deviation Δ.sub.G.sub.k.sub.B(t) classifying (105) the current deviation Δ.sub.G.sub.k.sub.B(t) in one of a number I of predefined error categories F.sub.i,G.sub.k.sub.B(Δ.sub.G.sub.k.sub.B(t)), wherein predefined control information S.sub.F.sub.i.sub.,G.sub.k.sub.B(t) for the actuators AKT.sub.k is produced for each of the error categories F.sub.i,G.sub.k.sub.B(Δ.sub.G.sub.k.sub.B

Some embodiments are directed to a surgical robotic system for use in a surgical procedure, including a surgical arm having a movable arm part for mounting of a surgical instrument having at least one degree-of-freedom to enable longitudinal movement of the surgical instrument towards a surgical target. Some other embodiments are directed to a human machine interface for receiving positioning commands from a human operator for controlling the longitudinal movement of the surgical instrument, and an actuator configured for actuating the movable arm part to effect the longitudinal movement of the surgical instrument, and controlled by a processor in accordance with the positioning commands and a virtual bound. The virtual bound establishes a transition in the control of the longitudinal movement of the surgical instrument in a direction towards the surgical target. The virtual bound is determined, during use of the surgical robotic system, based on the positioning commands.

A robot is disclosed which includes a dynamic safety zone feature capable of defining a space around the robot to be monitored to provide safe operating conditions for personnel or property. The dynamic safe zones can be a volume around one or more moving components of the robot. Such dynamic safe zones can be scaled depending on the nature of the operation (fast moving robot having a larger dynamic safety zone). Multiple different zones can be used in some embodiments. The zones can further be scaled depending on the nature of the sensors used in the operation of the robot. Multiple different moving components can have different dynamic safety zones.

A state machine controller to dynamically plan a robot's path. An industrial robot such as a multi-arm articulated robot operates in a workspace according to a program. A sensor or camera monitors the workspace and detects any object, such as a person, approaching or entering the workspace. The sensor provides input to the state machine controller, which includes states of; track current path, change speed, and replan path. When an object approaches or enters the workspace, the state machine determines if a transition to the change speed state is necessary. After reducing robot speed in the change speed state, the state machine can resume the original path and speed if the object has cleared the workspace, further reduce speed to zero if necessary to avoid a collision, or transition to the replan path state to compute a new path to the goal position which avoids the object in the workspace.

Systems and methods for collision detection and avoidance are provided. In one aspect, a robotic medical system including a first set of links, a second set of links, a console configured to receive input commanding motion of the first set of links and the second set of links, a processor, and at least one computer-readable memory in communication with the processor. The processor is configured to access the model of the first set of links and the second set of links, control movement of the first set of links and the second set of links based on the input received by the console, determine a distance between the first set of links and the second set of links based on the model, and prevent a collision between the first set of links and the second set of links based on the determined distance.

The present teaching relates to a method and system for path planning. A target is tracked via one or more sensors. Information of a desired pose of an end-effector with respect to the target and a current pose of the end-effector is obtained. Also, a minimum distance permitted between an arm including the end-effector and each of at least one obstacle identified between the current pose of the end-effector and the target is obtained. A weighting factor previously learned is retrieved and a cost based on a cost function is computed in accordance with a weighted smallest distance between the arm including the end-effector and the at least one obstacle, wherein the smallest distance is weighted by the weighting factor. A trajectory is computed from the current pose to the desired pose by minimizing the cost function.