derivative of the Geometric Jacobian

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btk20
btk20 2022 年 10 月 4 日
回答済み: Leepakshi 2025 年 5 月 2 日
Hi,
Is there an efficient and easy way to find the \dot{J} based on the actual Jacobian of a manipulator?
I have
J = geometricJacobian(obj.RigidBodyTreeInternal, q, obj.EndEffectorName);
Thanks in advance

回答 (1 件)

Leepakshi
Leepakshi 2025 年 5 月 2 日
Hi,
No builtin function is provided in MATLAB for direct derivative of Jacobian , but you can compute (\dot{J}) (the time derivative of the Jacobian) either numerically or symbolically: numerically, use the finite difference method in MATLAB by evaluating the Jacobian at (q) and at (q + \dot{q} \cdot dt) and dividing the difference by (dt):
dt = 1e-6;
J_now = geometricJacobian(obj.RigidBodyTreeInternal, q, obj.EndEffectorName);
J_next = geometricJacobian(obj.RigidBodyTreeInternal, q + q_dot*dt, obj.EndEffectorName);
J_dot = (J_next - J_now) / dt;
Alternatively, you can use symbolic differentiation for analytical insight, for example:
clear all
clc
syms q1(t) q2(t) q3(t) a2 a3
J11 = -sin(q1(t))*(a3*cos(q2(t) + q3(t)) + a2*cos(q2(t)));
dJ11dt = diff(J11, t); % Symbolic time derivative
This allows you to derive (\dot{J}) analytically and then substitute joint values and velocities as needed. Combining both methods gives you flexibility for both simulation and analysis.
Hope this helps!

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