Papers
3
Total Citations
50
H-Index
2
About
Junxiao Lin is a rising star in the field of robotic locomotion and multi-agent coordination, with research focused on enabling robots to operate seamlessly in unstructured and dynamic environments. His work bridges aerial and ground robotics, addressing key challenges in motion planning, adaptability, and collaborative task execution. Lin’s most cited paper, “Collaborative Planning for Catching and Transporting Objects in Unstructured Environments” (2023, 27 citations), introduces a trajectory planning method for non-holonomic multi-robot teams, advancing capabilities in wilderness rescue and cooperative transport. He is also the lead developer of **Skater** (2024, 21 citations), a novel bi-modal bi-copter robot that achieves adaptive locomotion in both air and diverse terrains, using a longitudinally arranged bi-copter with passive wheels—a design that unifies actuation for efficient ground and aerial travel. His latest work, **Tracailer** (2025), tackles the complex kinematics of tractor-trailer robots, offering an efficient planner for enhanced transportation in unstructured settings. With a growing citation record and innovative hardware-software contributions, Lin is shaping the future of versatile, multi-modal robotic systems for real-world deployment.
Research Focus
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Top Papers
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