Motivated by the growing importance of flexible automation in industrial environments, this article investigates the impact of wireless solutions in collaborative robotics, toward which we provide a quality of control (QoC)-based abstraction and methodology that comprehensively captures the interplay between network-induced delays, reliability, and robotic workload parameters for wireless collaborative robotics (WCR). For such a setting, we formulate a joint control-communication co-design based optimization framework to maximize the QoC across all robots, for 5G resource dimensioning. This is crucial for identifying optimal co-design parameters maximizing the QoC for limited 5G bandwidth across different topologies of robotic connectivity, prior to the deployment of these WCRs, or when selecting appropriate connectivity priority levels. We compare the performance of our proposed algorithm to different state of the art schemes in the literature. Our simulation results highlight the latency-reliability tradeoff and its implications on the control performance. We also demonstrate that our abstraction can be utilized for control-communication co-design, identifying optimal latency-reliability points in conjunction with the maximum velocity the robots operate with, while highlighting the energy gains due to co-design as well.