“…In summary, the main contribution of our study here, as compared with the existing results for networked Euler-Lagrange systems or robotic systems (e.g., [5], [13], [9], [29], [28]) and also those in the context of bilateral teleoperation (see, e.g., [17], [37]), is to formalize the concept of manipulability followed by the systematic manipulability analysis concerning networked robotic systems and to address the case of no task-space velocity measurement by developing a new task-space observer. In particular, 1) we rigorously show that the gain of the integral action concerning the sliding vector (i.e., the weighted sum of the velocity and neighbor-to-neighbor position consensus errors) acts as a qualified measure of manipulability of the closed-loop system, and this provides a tuning freedom concerning the trade off between the manipulability and consensus equilibrium stability; 2) we also present a rigorous mathematical justification why the large damping yields the feeling of "sluggish" in teleoperator systems by using the measure of manipulability; 3) we illustrate by simulations and intuitive explanations that in a typical industrial/commercial robotic context, the integral action of the low-level PI velocity controller tends to decrease the manipulability of the system.…”