Disclosed are a brain-computer interface based robotic arm self-assisting system and method. The system comprises a sensing layer, a decision-making layer and an execution layer. The sensing layer comprises an electroencephalogram acquisition and detection module and a visual identification and positioning module and is used for analyzing and identifying the intent of a user and identifying and locating positions of a corresponding cup and the user's mouth based on the user intent. The execution layer comprises a robotic arm control module that performs trajectory planning and control for a robotic arm based on an execution instruction received from a decision-making module. The decision-making layer comprises the decision-making module that is connected to the electroencephalogram acquisition and detection module, the visual identification and positioning module and the robotic arm control module to implement the acquisition and transmission of data of an electroencephalogram signal, a located position and a robotic arm status and the sending of the execution instruction for the robotic arm. The system combines the visual identification and positioning technology, a brain-computer interface and a robotic arm to facilitate paralyzed patients to drink water by themselves, improving the quality of life of the paralyzed patients.

A robotic surgical intervention device includes an articulated arm with actuating motors, a surgical instrument carried by the articulated arm, a control peripheral of the articulated arm for moving a functional distal end of the surgical instrument, and a processor configured to process movement instructions provided by the control peripheral to convert them into individual control instructions for each of the actuating motors of the articulated arm. The processor includes an electronic restriction designed to add further processing to the movement instructions provided by the control peripheral that blocks any movement of the functional distal end of the surgical instrument according to at least one degree of freedom in translation or rotation predefined as prohibited along or about at least one axis of a local Cartesian coordinate system linked to the surgical instrument.

A management server according to an embodiment includes a communication part, an acquisition part, an intention estimation part, and a motion control part. The communication part communicates with one or more robot devices and one or more operation terminals that remotely operate at least one of the one or more robot devices via a network. The acquisition part acquires an operation content inputted by the operation terminal. The intention estimation part estimates an intention of an operator of the operation terminal based on the operation content acquired by the acquisition part. The motion control part controls a motion of the robot device based on an intention result estimated by the intention estimation part.

The disclosure provides a critical care system, a critical care system control method, and a non-transitory computer-readable recording medium recording a program. A critical care system includes: a photographing device which is capable of remotely controlling at least one of a position and a direction; a critical care tool storage part which stores a critical care tool; a critical care robot which includes at least one end effector that allows for remote control; a terminal with which at least one operator remotely operates the critical care robot; and a server which is capable of acquiring medical condition information and environmental information acquired by the critical care robot, transmitting the acquired medical condition information and environmental information to the terminal, receiving operation information for the critical care robot from the terminal, and controlling the critical care robot based on the received operation information.

A robotic system that can be used to treat a patient. The robotic system includes a mobile robot that has a camera. The mobile robot is controlled by a remote station that has a monitor. A physician can use the remote station to move the mobile robot into view of a patient. An image of the patient is transmitted from the robot camera to the remote station monitor. A medical personnel at the robot site can enter patient information into the system through a user interface. The patient information can be stored in a server. The physician can access the information from the remote station. The remote station may provide graphical user interfaces that display the patient information and provide both a medical tool and a patient management plan.

A robotic medical device system includes a robotic medical device and a controller. The controller is configured to control, in response to one or more control signals, movement of the robotic medical device to maintain a substantially constant overshoot for different step responses of the robotic medical device system independent of variations in a delay associated with control of the robotic medical device, the one or more control signals received via a network.

A medical system includes: a slave having at least one moving part; an operation device having at least one operation part; and a processor that controls operations of the slave based on a conversion table that associates operations of the moving part of the slave with inputs of the operation part of the operation device. The processor is programmed to execute: acquiring user identification information of a user of the slave, slave identification information of the slave, and operation device identification information of the operation device, and generating and proposing the conversion table based on the user identification information, the slave identification information, and the operation device identification information.

A teleoperative system includes an input device and a controller. The controller is configured to receive input associated with movement of the input device, determine a commanded pose of an instrument coupled to the teleoperative system based on the received input, determine a first preferred pose of the instrument based on at least one parameter selected from a group consisting of: a type of the instrument and an operating mode of the instrument, determine a first feedback force command based on a difference between the commanded pose and the first preferred pose, and actuate the input device based on the first feedback force command.

Implementations relate to actuated grips for a controller. In some implementations, a controller includes a central member, a grip member coupled to the central member and moveable in a grip degree of freedom, a shaft coupled to the grip member, and an actuator coupled to the shaft and operative to output an actuator force on the shaft. The actuator force causes a grip force to be applied via the shaft to the grip member in the grip degree of freedom.

Conventional tele-presence robots have their own limitations with respect to task execution, information processing and management. Embodiments of the present disclosure provide a tele-presence robot (TPR) that communicates with a master device associated with a user via an edge device for task execution wherein control command from the master device is parsed for determining instructions set and task type for execution. Based on this determination, the TPR queries for information across storage devices until a response is obtained enough to execute task. The task upon execution is validated with the master device and user. Knowledge acquired, during querying, task execution and validation of the executed task, is dynamically partitioned by the TPR across storage devices namely, on-board memory of the tele-present robot, an edge device, a cloud and a web interface respectively depending upon the task type, operating environment of the tele-presence robot, and other performance affecting parameters.