Abstract: Embodiments of the present disclosure provide a system, method, apparatus and computer-readable medium for teleoperation. An exemplary system includes a robot machine having a machine body, at least one sensor, at least one robot processor, and at least one user processor operable to maintain a user simulation model of the robot machine and the environment surrounding the robot machine, the at least one user processor being remote from the robot machine. The system further includes at least one user interface comprising a haptic user interface operable to receive user commands and to transmit the user commands to the user simulation model, a display operable to display a virtual representation of the user simulation model.

Abstract: Embodiments of the present disclosure provide a system, method, apparatus and computer-readable medium for teleoperation. An exemplary system includes a robot machine having a machine body, at least one sensor, at least one robot processor, and at least one user processor operable to maintain a user simulation model of the robot machine and the environment surrounding the robot machine, the at least one user processor being remote from the robot machine. The system further includes at least one user interface comprising a haptic user interface operable to receive user commands and to transmit the user commands to the user simulation model, a display operable to display a virtual representation of the user simulation model.

Abstract: A hybrid power module efficiently delivers both hydraulic power and electric power. The hybrid power module may regenerate and store energy for later use. The module includes and engine and an electric motor for driving a hydraulic pump. The electric motor is operable as a starter motor for the engine and as an assist motor cooperating with the engine to power the hydraulic pump to improve dynamic response of the hydraulic pump. The module also includes an electric power source which may have an energy storage unit, and the electric motor may be operated as an electric generator providing electric energy to the energy storage unit.

Abstract: A hybrid power module efficiently delivers both hydraulic power and electric power. The hybrid power module may regenerate and store energy for later use. The module includes and engine and an electric motor for driving a hydraulic pump. The electric motor is operable as a starter motor for the engine and as an assist motor cooperating with the engine to power the hydraulic pump to improve dynamic response of the hydraulic pump. The module also includes an electric power source which may have an energy storage unit, and the electric motor may be operated as an electric generator providing electric energy to the energy storage unit.

Abstract: The present invention provides an algorithm that does not relax the problem at the very onset, even if xf is infeasible. Instead, it solves the EQP with the initial guess for the active set without relaxing the problem. If this solution to the first EQP is not optimal, but nevertheless feasible, we can use this as our guess for the feasible point. This has the advantage of being a feasible point that is consistent with the initial active set, whereas the initial guess used in the previous method is not necessarily so.

Abstract: The present invention provides an algorithm that does not relax the problem at the very onset, even if xf is infeasible. Instead, it solves the EQP with the initial guess for the active set without relaxing the problem. If this solution to the first EQP is not optimal, but nevertheless feasible, we can use this as our guess for the feasible point. This has the advantage of being a feasible point that is consistent with the initial active set, whereas the initial guess used in the previous method is not necessarily so.

Abstract: A system and method more accurately solves equality-constrained a quadratic program without significantly increasing computational load. The solver can be used to iteratively determine the solution to a general quadratic program via an active set method. The algorithm determines which of the equality constraints are binding and which constraints are not. The non-binding constraints are dropped from the active set and the objective function improved. The non-binding constraints are identified based upon the signs of the Lagrange multipliers of the equality constraints. The algorithm determines the optimization variables and the Lagrange multipliers independently of one another based upon a single matrix factorization.