There is provided an information processing apparatus to estimate a position of a distal end of a movable unit with a reduced processing load, the information processing including a position computer that computes, on the basis of first positional information obtained from reading of a projected marker by a first visual sensor and second positional information including positional information obtained from reading of the marker by a second visual sensor that moves relative to the first visual sensor, a position of a movable unit in which the second visual sensor is disposed. This makes it possible to estimate the position of the distal end of the movable unit with a reduced processing load.

An image processor includes memory configured to store the shape of an object, extracting circuitry configured to extract a second image of a target range from a first image of the object, distance detecting circuitry configured to process the second image to detect distances from at least three parts projected within the target range to the camera, plane estimating circuitry configured to estimate a plane projected within the target range using the distances based on the at least three parts, angle detecting circuitry configured to detect an angle of the plane with respect to an optical axis of the camera, contour estimating circuitry configured to estimate, based on the shape of the object and the angle of the plane, a contour of the object projected on the first image, and identifying circuitry configured to identify the object on the first image based on the contour.

A virtualization system implemented within a cloud server enables the simulation of robot structure and behavior in a virtual environment. The simulated robots are controlled by clients remote from the cloud server, enabling human operators or autonomous robot control programs running on the clients to control the movement and behavior of the simulated robots within the virtual environment. Data describing interactions between robots, the virtual environment, and objects can be recorded for use in future robot design. The virtualization system can include robot templates, enabling users to quickly select and customize a robot to be simulated, and further enabling users to update and re-customize the robot in real-time during the simulation. The virtualization system can re-simulate a portion of the robot simulation when an intervention by a human operator is detected, positioning robots, people, and objects within the virtual environment based on the detected intervention.

A virtualization system implemented within a cloud server enables the simulation of robot structure and behavior in a virtual environment. The simulated robots are controlled by clients remote from the cloud server, enabling human operators or autonomous robot control programs running on the clients to control the movement and behavior of the simulated robots within the virtual environment. Data describing interactions between robots, the virtual environment, and objects can be recorded for use in future robot design. The virtualization system can include robot templates, enabling users to quickly select and customize a robot to be simulated, and further enabling users to update and re-customize the robot in real-time during the simulation. The virtualization system can re-simulate a portion of the robot simulation when an intervention by a human operator is detected, positioning robots, people, and objects within the virtual environment based on the detected intervention.

A mobile robot configured for delivering consumable items to delivery recipients. The mobile robot comprises an item compartment with a top section, a separator, and a bottom section. The mobile robot also comprises a temperature control component. A method for delivering consumable items to delivery recipients using the mobile robot.

A mobile robot configured for delivering consumable items to delivery recipients. The mobile robot comprises an item compartment with a top section, a separator, and a bottom section. The mobile robot also comprises a temperature control component. A method for delivering consumable items to delivery recipients using the mobile robot.

The present disclosure generally relates to a robotic gripping system and method that utilizes vacuum suction and finger grasping, wherein the suction and grasping are actuated based on a dynamic collision model. In an exemplary embodiment, the present disclosure is directed to generating collision scenes of a surrounding environment which is used to determine possible collisions in a motion path, and which is used to selectively actuate the vacuum suction and/or finger grasping.

The present disclosure generally relates to a robotic gripping system and method that utilizes vacuum suction and finger grasping, wherein the suction and grasping are actuated based on a dynamic collision model. In an exemplary embodiment, the present disclosure is directed to generating collision scenes of a surrounding environment which is used to determine possible collisions in a motion path, and which is used to selectively actuate the vacuum suction and/or finger grasping.

Certain aspects relate to systems and techniques for preparing a robotic system for surgery. In one aspect, the method includes a robotic arm, a sensor configured to generate information indicative of a location of the robotic arm, a processor, and at least one computer-readable memory in communication with the processor and having stored thereon computer-executable instructions. The instructions are configured to cause the processor to receive the information from the sensor, determine that the robotic arm is located at a first position in which a first axis associated with the robotic arm is not in alignment with a second axis associated with a port installed in a patient, and provide a command to move the robotic arm to a second position in which the first axis associated with the robotic arm is in alignment with the second axis.

Certain aspects relate to systems and techniques for preparing a robotic system for surgery. In one aspect, the method includes a robotic arm, a sensor configured to generate information indicative of a location of the robotic arm, a processor, and at least one computer-readable memory in communication with the processor and having stored thereon computer-executable instructions. The instructions are configured to cause the processor to receive the information from the sensor, determine that the robotic arm is located at a first position in which a first axis associated with the robotic arm is not in alignment with a second axis associated with a port installed in a patient, and provide a command to move the robotic arm to a second position in which the first axis associated with the robotic arm is in alignment with the second axis.