"joint speed" is a correct and usable phrase in written English.
You can use it to refer to the speed of a machine, or more generally the speed of two or more parts of a system working together. For example: "The increased joint speed of the production line resulted in improved efficiency."
Based on the estimated pose and motion of the target, the instantaneous desired position of the end-effector is predicted by inverse kinematics and the robotic manipulator is moved incrementally from its current configuration subject to the joint speed limits.
The optimization is conducted using as an objective function the minimum value of the Manipulator Velocity Ratio (MVR) along the path, producing the largest possible end-effector velocity while maintaining minimum joint speed values.
In the return movement, the joint speed remained slow until the clutch disengaged; it then moved quickly in the HS phase again.
The maximum joint speed in the HS phase is approximately 252 ^circ)/s, and the maximum torque in the HF phase is 6.57 Nm with 1-A motor current.
In this paper, an approach based on sliding mode conditioning of a path parametrization is proposed to achieve the greatest tracking speed which is compatible with the robot input constraints (joint speeds).
However, what it loses in sight it makes up for in its capacity to mimic the movements of a human body, including muscle torque and joint speeds.
Table 3 Simulation results of swimming speeds for four conditions Condition Shoulder joints Knee joints Swimming speed [m/s] Increase amount 1 Measured Measured 0.118 0 2 Target Measured 0.162 37 3 Measured Target 0.166 41 4 Target Target 0.21 78 In condition 1, the measured knee and shoulder joint angles were put into the simulation.
The joint high speed vessel (JHSV), which will ferry troops and equipment, is 103 metres long with 312 seats and room enough on the top deck to park a helicopter.
The paper represents the first time information on joint position, speed and torque has been fed from a prosthetic limb into the nervous system, according to senior author and project director Hugh Herr, a professor of media arts and sciences at the MIT Media Lab.
AMI was designed to allow people with amputations to receive feedback of joint position, speed, and torque from their brain-controlled prosthetic limb, improving their ability to perform everyday tasks and enabling them to feel as though their prosthesis is truly a part of their body.
The paper represents the first time information on joint position, speed, and torque has been fed from a prosthetic limb into the nervous system, according to senior author and project director Hugh Herr, a professor of media arts and sciences at the MIT Media Lab.
