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Da-Long is a pioneering researcher in the field of multi-robot systems, with a primary focus on formation control and obstacle avoidance for mobile robots. His most significant contribution lies in developing unified control algorithms that enable follower robots to maintain desired relative positions or distances from a leader while actively avoiding obstacles, all without requiring knowledge of the leader's absolute motion state. This breakthrough, detailed in his highly cited 2007 paper (11 citations), addresses a critical limitation in traditional leader-follower formation control literature. Da-Long further advanced the field by introducing a robust second-order kinematics model that incorporates relative motion states and local robot dynamics, employing feedback linearization and sliding mode compensation to ensure system stability and flexibility. His work also demonstrates the practical application of vision-based sensory systems, such as pan/tilt cameras, to achieve formation control without global sensing or inter-robot communication. Through experimental validation with nonholonomic robots and computer vision systems, Da-Long has established a foundation for more autonomous and adaptable robotic teams, making his research essential reading for students and engineers working on cooperative robotics and intelligent navigation systems.