In robotic systems, a redundant manipulator is defined as a robot that possesses more degrees of freedom (DOF) than are necessary to achieve a particular task, such as positioning an end-effector in 3D space. This additional DOF allows for greater flexibility in motion, improved obstacle avoidance, optimized joint configurations, and better energy efficiency while performing tasks. Mathematically, the inverse kinematics (IK) problem becomes underdetermined, leading to infinite potential solutions.
On the other hand, closed kinematic chains consist of interlinked robotic elements that form loops, allowing multiple paths between two points. A classic example of a closed kinematic chain is a parallel manipulator like the Stewart platform, which offers enhanced mechanical stiffness and load-bearing capacity. However, the mathematical complexity involved in solving forward kinematics is increased, and constraint equations are necessary to maintain loop closure, potentially leading to limited workspace when compared to open-chain configurations. Both concepts are pivotal for understanding the design and control of advanced robotic systems.