Papers
2
Total Citations
37
H-Index
2
About
Shiwen Ren is a robotics researcher specializing in autonomous systems, multi-robot coordination, and path planning for heterogeneous robot teams. His work focuses on the emerging field of marsupial robotic systems — collaborative configurations in which unmanned ground vehicles (UGVs) serve as mobile carriers that deploy and retrieve aerial robots, enabling extended operational range and mission flexibility in complex environments. Ren's most notable contributions center on solving the challenging path planning problems inherent to air-ground collaborative systems. His 2019 paper on vehicle-borne multi air-ground robot systems (20 citations) and his 2018 work on marsupial double-UAV systems (17 citations) together establish a coherent research trajectory addressing how UGVs and multiple UAVs can be efficiently coordinated for deployment, tasking, and retrieval in real-world applications. These contributions are particularly relevant to search-and-rescue, surveillance, and exploration missions where neither ground nor aerial platforms alone are sufficient. With nearly 40 combined citations across just two key publications, Ren's research has gained meaningful traction within the robotics community. His work represents an important step toward practical, scalable heterogeneous robot teams, making him a valuable reference for students exploring autonomous systems and multi-robot path planning.
Research Focus
Key Achievements
Top Papers
- 1Path Planning for Vehicle-borne System Consisting of Multi Air–ground Robots20 citations · 2019
- 2