Robots, methods, and computer program products for training and operating (semi-) autonomous robots to complete multiple different work objectives are described. A robot accesses a library of reusable work primitives from a catalog of libraries of reusable work primitives, each reusable work primitive corresponding to a respective basic sub-task or sub-action that the robot is operative to autonomously perform. A work objective is analyzed to determine a sequence (i.e., a combination and/or permutation) of reusable work primitives that, when executed by the robot, will complete the work objective. The robot executes the sequence of reusable work primitives to complete the work objective. A robot can be deployed with an appropriate stored library (or access to an appropriate library) of reusable work primitives, based on what the robot is expected to do, or what service category or role the robot will operate in.

Robots, methods, and computer program products for training and operating (semi-) autonomous robots to complete multiple different work objectives are described. A robot accesses a library of reusable work primitives from a catalog of libraries of reusable work primitives, each reusable work primitive corresponding to a respective basic sub-task or sub-action that the robot is operative to autonomously perform. A work objective is analyzed to determine a sequence (i.e., a combination and/or permutation) of reusable work primitives that, when executed by the robot, will complete the work objective. The robot executes the sequence of reusable work primitives to complete the work objective. A robot can be deployed with an appropriate stored library (or access to an appropriate library) of reusable work primitives, based on what the robot is expected to do, or what service category or role the robot will operate in.

There is provided a robot capable of reducing vibration generated in an arm portion performing work. The robot includes: a first arm portion connected to a body portion and configured to perform work; and a second arm portion connected to the body portion and to be controlled to support the first arm portion, in which the first arm portion includes a first connecting portion connected to the body portion, a first end effector located at an end of the first arm portion opposite to an end where the first connecting portion is located, and a support target portion located between the first connecting portion and the first end effector, and the second arm portion is controlled to support the support target portion.

Provided is a control platform capable of controlling a plurality of effectors so as to suitably execute a first task configured by combining a plurality of predetermined operations. A CI brain module 51 of a control platform 5 recognizes a service (first task) through communication with a user terminal 8, recognizes a robot group for executing the service based on link data of a service generation module 52, recognizes the service as a plurality of jobs, and assigns these jobs to robots 2X to 2Z. Then, a communication module 50 transmits a command signal representing the job to the robots 2X to 2Z.

In a robot, an actuator causes the robot to operate. A processor is configured to acquire, when a holding portion is held by a predetermined target, physical information on a physical function of the predetermined target, and cause, by controlling the actuator depending on the acquired physical information, the robot to perform at least one of an examination operation for examining the physical function of the predetermined target and a training support operation for training the physical function of the predetermined target.

A control device includes a processor which, when an accessory is fitted onto an apparatus, controls a driver such that the accessory interferes with operation of a movable part of the apparatus, acquires data indicating a position of the movable part at which the accessory interferes with the operation of the movable part, and controls the driver such that the movable part is driven within a movable range which is set based on the acquired data indicating the position of the movable part.

A method for controlling a robotic device based on observed object locations is presented. The method includes observing objects in an environment. The method also includes generating a probability distribution for locations of the observed objects. The method further includes controlling the robotic device to perform an action when an object is at a location in the environment with a location probability that is less than a threshold.

Robots may be instantiated on-demand and may be adaptive in response to an environment, application, or event change. The adapted robot may switch functions in order to perform selective operations within medicine, agriculture, military, entertainment, or manufacturing, among other things.

Using various embodiments, an autonomous robot using data captured from a living subject are disclosed. In one embodiment, an autonomous robot can be trained using previously captured sensor data by receiving the sensor data, processing the sensor data and transmitting control signals to cause a movement in at least one portion of the autonomous robot. The movement can be related to an interaction of the autonomous robot with its surroundings, wherein the movement generates movement data. Thereafter, a predictive analysis can be performed on the movement data to learn a capability of generating actions that are spontaneous and adaptive to an immediate environment of the autonomous robot.

The present disclosure provides a method for controlling end-portions of a robot. The method includes obtaining joint information of a robot by at least one sensor and determining a first posture of an end-portion of the robot in accordance with the joint information, obtaining end-portion information of the robot by the sensor and obtaining the second posture of the end-portion of the robot including the interference information in accordance with the end-portion information of the robot and the first posture of the end-portion of the robot, and conducting a closed-loop control on the robot in accordance with an error between the second posture of the end-portion of the robot and a predetermined expected posture of the end-portion of the robot.