Example implementations may relate to a robotic system that provides feedback. The robotic system is configured to receive information related to a path in an environment of the robotic system. The robotic system is also configured to initiate a recording process for storing data related to motion of a component in the environment. The robotic system is additionally configured to detect, during the recording process, movement of the component along the path in the environment, where the movement results from application of an external force to the robotic system. The robotic system is further configured to determine, during the recording process, deviation of the movement away from the path by at least a threshold amount and responsively provide feedback including one or more of (i) resisting the deviation of the movement away from the path and (ii) guiding the at least one component back towards the path.

A method for controlling a manipulator includes releasing the manipulator in reaction to a release request by an operator, wherein the recognition of the release request involves monitoring the variation over time of a measured value that is characteristic of a state of the manipulator. Increased robustness of the recognition of the release request results.

In a minimally invasive surgical system, a hand tracking system tracks a location of a sensor element mounted on part of a human hand. A system control parameter is generated based on the location of the part of the human hand. Operation of the minimally invasive surgical system is controlled using the system control parameter. Thus, the minimally invasive surgical system includes a hand tracking system. The hand tracking system tracks a location of part of a human hand. A controller coupled to the hand tracking system converts the location to a system control parameter, and injects into the minimally invasive surgical system a command based on the system control parameter.

Robotic devices may be trained by a trainer guiding the robot along a target trajectory using physical contact with the robot. The robot may comprise an adaptive controller configured to generate control commands based on one or more of the trainer input, sensory input, and/or performance measure. The trainer may observe task execution by the robot. Responsive to observing a discrepancy between the target behavior and the actual behavior, the trainer may provide a teaching input via a haptic action. The robot may execute the action based on a combination of the internal control signal produced by a learning process of the robot and the training input. The robot may infer the teaching input based on a comparison of a predicted state and actual state of the robot. The robot's learning process may be adjusted in accordance with the teaching input so as to reduce the discrepancy during a subsequent trial.

Robotic devices may be trained by a trainer guiding the robot along a target trajectory using physical contact with the robot. The robot may comprise an adaptive controller configured to generate control commands based on one or more of the trainer input, sensory input, and/or performance measure. The trainer may observe task execution by the robot. Responsive to observing a discrepancy between the target behavior and the actual behavior, the trainer may provide a teaching input via a haptic action. The robot may execute the action based on a combination of the internal control signal produced by a learning process of the robot and the training input. The robot may infer the teaching input based on a comparison of a predicted state and actual state of the robot. The robot's learning process may be adjusted in accordance with the teaching input so as to reduce the discrepancy during a subsequent trial.

A robotic device may: receive movement information associated with a plurality of subtasks performed by a manipulator of a robotic device, where the movement information indicates respective paths followed by the manipulator while performing the respective subtasks and respective forces experienced by the manipulator along the respective paths; determine task information for a task to be performed by the robotic device, where the task comprises a combination of subtasks of the plurality of subtasks, where the task information includes a trajectory to be followed by the manipulator, and forces to be exerted by the manipulator at points along the trajectory; and determine, based on the task information, torques to be applied over time to the manipulator via a joint coupled to the robotic device to perform the task.

Robotic devices may be trained by a trainer guiding the robot along a target trajectory using physical contact with the robot. The robot may comprise an adaptive controller configured to generate control commands based on one or more of the trainer input, sensory input, and/or performance measure. The trainer may observe task execution by the robot. Responsive to observing a discrepancy between the target behavior and the actual behavior, the trainer may provide a teaching input via a haptic action. The robot may execute the action based on a combination of the internal control signal produced by a learning process of the robot and the training input. The robot may infer the teaching input based on a comparison of a predicted state and actual state of the robot. The robot's learning process may be adjusted in accordance with the teaching input so as to reduce the discrepancy during a subsequent trial.

Example implementations may relate to a robotic system that provides feedback. The robotic system is configured to receive information related to a path in an environment of the robotic system. The robotic system is also configured to initiate a recording process for storing data related to motion of a component in the environment. The robotic system is additionally configured to detect, during the recording process, movement of the component along the path in the environment, where the movement results from application of an external force to the robotic system. The robotic system is further configured to determine, during the recording process, deviation of the movement away from the path by at least a threshold amount and responsively provide feedback including one or more of (i) resisting the deviation of the movement away from the path and (ii) guiding the at least one component back towards the path.

A document processing device including a touchscreen type operation panel and configured to be capable of communicating with a terminal device, a position of the terminal device being likely to move in accordance with operation by a user includes: a communication unit configured to transmit and receive a radio wave to and from the terminal device to perform communication; a communication intensity detection unit configured to detect communication intensity of the terminal device received at the communication unit; an operation information detection unit configured to detect operation information of input operation when the input operation for the operation panel is performed; and a data transfer amount control unit configured to control a data transfer amount in the communication between the terminal device and the communication unit based on the communication intensity detected by the communication intensity detection unit and the operation information detected by the operation information detection unit.

The invention relates to a robot controller controlling a robot arm, the robot controller is configured to maintain the robot arm in a static posture when only gravity is acting on the robot arm and allow change in posture of the robot arm when an external force different from gravity is applied to the robot arm. The free-drive mode of operation is activatable by a user establishing a free-drive activation signal to the robot controller, which then is configured to initiate a free-drive mode activation sequence including the steps of: in a predetermined activation sequence period of time monitor a value of at least one joint sensor parameter, and compare this value to a free-drive activation joint sensor parameter threshold value. The robot controller is configured to switch to the free-drive mode of operation if the at least one value does not exceed the free-drive activation joint sensor parameter threshold value within the predetermined activation sequence period of time.