Minghe Jin — accepted AI-conference papers

2025

Synergistic Terrain-Adaptive Morphing and Trajectory Tracking in a Transformable-Wheeled Robot

Ke Shi, Zainan Jiang, Borui Liu, Guocai Yang, Minghe Jin

RA-L 2025

Transformable-wheeled robots exhibit efficient locomotion and obstacle negotiation through mode transformation, which underpins the development of the multimodal robot MTABot—a previously validated platform. However, existing literature primarily focuses on structural design, leaving autonomous mode

Cited by 3 Source ↗Scholar ↗

2024

MTABot: An Efficient Morphable Terrestrial-Aerial Robot With Two Transformable Wheels

Ke Shi, Zainan Jiang, Liyan Ma, Le Qi, Minghe Jin

RA-L 2024

Terrestrial-aerial robots, capable of swift aerial navigation and enduring terrestrial operations, possess significant potential for utilization in exploration and rescue missions. However, achieving their capability to negotiate diverse terrains with a high-power-efficient structure remains a formi

Cited by 21 Source ↗Scholar ↗