Industrial Robotics — Kinematics, Jacobians & Motion Planning
Engineering
PhD-level treatment of industrial robot mechanics: Denavit–Hartenberg parameterisation, forward and inverse kinematics for serial manipulators, the velocity Jacobian, singularity analysis, workspace computation, and trapezoidal/S-curve trajectory generation for smooth, jerk-limited motion.
Learning Objectives
- Assign Denavit–Hartenberg parameters to a serial manipulator and derive the forward kinematic map T_{0n}
- Compute the geometric Jacobian and use it to map joint velocities to end-effector Cartesian velocities
- Identify and classify singularities using the determinant and SVD of the Jacobian matrix
- Solve the inverse kinematics problem analytically for 2R and 3R planar robots and numerically for 6-DOF arms
- Design trapezoidal and quintic-polynomial joint trajectories that satisfy velocity, acceleration and jerk constraints
Lessons
Quick Practice
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