In the newsletter of March 2022, we would like to highlight the research work of Baumann&Martinoli, 2021 published in Robotics and Autonomous Systems (https://doi.org/10.1016/j.robot.2021.103849). In this study, they leveraged Khepera IV robots and studied the design of tightly integrated allocation, control, and estimation algorithms enabling coordinated movements of a group of robots. They validated their algorithms through simulation and physical experiments, showing the design effectiveness of their modular framework based on functional elements. Furthermore, thanks to the developed modular framework, they explored the impact of localization and communication constraints on the collective movement performance of the multi-robot system. In conclusion, algorithm benchmarking is more operational when defining modularity based on functionality. Safely moving a group of robots following specific requirements (e.g. as a flock or formation) is one of the basic and yet essential component needed for multi-vehicle applications such as space coverage and exploration, search and rescue scenarios, and management of transportation systems. Investigating collective movements through Khepera IV mobile robots is one effective way to tackle hard multi-vehicle coordination challenges in the physical world.