A flexible manipulator apparatus includes an elongate flexible manipulator having a sensor, a user output device configured to provide sensory outputs to the user, and processing circuitry. The flexible manipulator may be movable to form a curve in the flexible manipulator. The processing circuitry may be configured to receive captured sensor data from the sensor during movement of the flexible manipulator, and determine a collision likelihood score based on application of the captured sensor data to a collision detection model used for position estimation. The collision detection model may be based on an empirical data training for the flexible manipulator that includes training sensor data from the sensor and training image data of positions of the flexible manipulator. The processing circuitry may be configured to control the user output device based on the collision likelihood score to provide a collision alert sensory output to the user.

A method and system for determining geometric properties of a manipulator (2). The manipulator (2) is controlled to perform constrained motions exhibiting force interaction with the environment, or between different links of the manipulator (2), such that a kinematic chain is formed mechanically. The chain may include peripherals and external axes of motion. A constraining device, enables motions that facilitate the determination of geometric properties. A unified model of joint and link compliances facilitates determination of stiffness parameters. The force interaction is controlled with awareness of friction such that non-geometric properties are possible to identify, thereby enabling separation of non-geometric effects from the geometric ones, which improves accuracy.

Systems and a method for teaching a robot in reaching a given target location. The system and method include receiving inputs on a representation of a given target location to be reached by the robot. A check is made whether the given target location is singular. If the given target location is non-singular, the teaching of the robot is effected by associating with the given target location a selected configuration. If the given target is singular, the teaching of the robot is effected by associating with the given target location an assigned joint-values solution.

Described is a system for controlling autonomous platform. Based on an input image, the system generates a motor control command decision for the autonomous platform. A probability of the input image belonging to a set of training images is determined, and a reliability measure for the motor control command decision is generated using the determined probability. An exploratory action is performed when the reliability measure is above a predetermined threshold. Otherwise, an exploitation action corresponding with the motor control command decision is performed when the reliability measure is below a predetermined threshold.

A method for controlling vibration of flexible mechanical arms based on cooperative tracking is disclosed, including: building a dynamic model of the flexible mechanical arm, according to a dynamic characteristic, constructing a flexible mechanical arm group made up of a plurality of flexible mechanical arms, assigning one of the plurality of flexible mechanical arms as a leader and the rest ones as followers which are required to track the leader's motion trajectory so as to realize cooperative work; designing cooperative control-based boundary controllers in combination with a Lyapunov method to realize cooperative work and suppress vibration of the flexible mechanical arms; and constructing a Lyapunov function using Lyapunov direct method to validate stability of the flexible mechanical arms under the control.

A vibration control device moves an object by controlling an actuator. The vibration control device controls a position and speed of the actuator, generates a model by modeling the object; and calculates an inverse system output based on the model and the control to provide positive feedback of a position of the object based on the inverse system output.

Provided is a manipulator system including: a manipulator that has an insertion section composed of a flexible section and a bending section and that has a bending-section drive unit for driving the bending section; an operation input unit; a flexible-section shape detecting unit and a bending-section shape detecting unit that detect curved shapes of the flexible section and the bending section, respectively; compensation-value setting units that set a compensation value on the basis of the curved shape detected by each of the shape detecting units; and a control unit that generates a curvature control signal for driving the bending-section drive unit according to an operating instruction input via the operation input unit and furthermore corrects the curvature control signal using the compensation value and transmits it to the bending-section drive unit.

It is proposed a design and control of series elastic holonomic mobile platform, aimed to administer therapeutic table-top exercises to patients who have suffered injuries that affect the function of their upper extremities. The proposed mobile platform is a low-cost, portable, easy-to-use rehabilitation device for home use. It consists of four actuated Mecanum wheels and a compliant, low-cost, multi degree-of freedom Series Elastic Element as its force sensing unit. Thanks to its series elastic actuation, it is highly backdriveable and can provide assistance/resistance to patients, while performing omni-directional movements on plane. The device helps improving accuracy and effectiveness of repetitive movement therapies completed at home, while also providing quantitative measures of patient progress.