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).

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. The medical safety-system for dynamic 3D healthcare environments includes a detection system, a processing unit, and an interface unit. The detection system includes at least one sensor arrangement to provide depth information of at least a part of an observed scene. The processing unit includes a correlation unit to assign the depth information and a generation unit to generate a 3D free space model to provide the 3D free space model.

Provided is a method for detecting an imminent collision between an object and a component of an autonomous system in the real environment including at least one real, decentralized autonomous component, whereby of at least a part of the autonomous system a virtual image is available, emulating at least one aspect of the autonomous system.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for planning a path of motion for a robot. In some implementations, a candidate path of movement is determined for each of multiple robots. A swept region, for each of the multiple robots, is determined that the robot would traverse through along its candidate path. At least some of the swept regions for the multiple robots is aggregated to determine amounts of overlap among the swept regions at different locations. Force vectors directed outward from the swept regions are assigned, wherein the force vectors have different magnitudes assigned according to the respective amounts of overlap of the swept regions at the different locations. A path for a particular robot to travel is determined based on the swept regions and the assigned magnitudes of the forces.

A robot system is provided that includes movable parts, one or more object detecting sensors, and one or more processors, wherein the one or more object detecting sensors is dispose at or near the elbow, the wrist, or the position between the elbow and the wrist of the robot. Multiple embodiments are introduced for the implementation of the object detection of the robot system.

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.

A robot is described. The robot includes a propulsion system, a wireless interface, 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 determine, based upon a communication received at the wireless interface, to perform a celebration associated with a trigger event that has occurred on a casino floor and in response to determining to perform the celebration, control the propulsion system to cause the robot to perform at least a portion of the celebration.

A mobile epidemic prevention and disinfection robot includes a body and a control system installed on the body. The body includes a mobile base, a dust collection module, a disinfection system, a temperature detection system, and a delivery system. The delivery system includes two robot arms and a storage box. The control system includes a control module, a path planning module, and an obstacle dodge module. The control module is used to control the movement of the mobile epidemic prevention and disinfection robot, and the two robot arms to perform corresponding actions. The path planning module plans the optimal movement information of the mobile epidemic prevention and disinfection robot from the current position to a destination according to a three-dimensional map. The obstacle dodge module controls the mobile epidemic prevention and disinfection robot to dodge obstacles.

A robot control apparatus includes a control unit that generates, as control information, information regarding an amount of movement for controlling a motion of a robot and that outputs the control information, an information obtaining unit that obtains, as actual physical information, physical information indicating a result of an actual motion of the robot based on the control information, a motion estimation unit that outputs information output from a model plant, which is obtained by modeling an ideal state of the robot, by inputting the control information to the model plant as estimated physical information, which is obtained when the robot is assumed to move ideally on a basis of the control information, and a state estimation unit that estimates a state of the robot on a basis of the actual physical information and the estimated physical information. The control unit generates the control information further on a basis of a result of the estimation of the state of the robot.

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.