ATMO: An Aerially Transforming Morphobot for Dynamic Ground-Aerial Transition
Ioannis Mandralis, Reza Nemovi, Alireza Ramezani, Richard M. Murray, Morteza Gharib
- 发表年份
- 2025
- 访问权限
- 开放获取
摘要
Designing ground-aerial robots is challenging due to the increased actuation requirements which can lead to added weight and reduced locomotion efficiency. Morphobots mitigate this by combining actuators into multi-functional groups and leveraging ground transformation to achieve different locomotion modes. However, transforming on the ground requires dealing with the complexity of ground-vehicle interactions during morphing, limiting applicability on rough terrain. Mid-air transformation offers a solution to this issue but demands operating near or beyond actuator limits while managing complex aerodynamic forces. We address this problem by introducing the Aerially Transforming Morphobot (ATMO), a robot which transforms near the ground achieving smooth transition between aerial and ground modes. To achieve this, we leverage the near ground aerodynamics, uncovered by experimental load cell testing, and stabilize the system using a model-predictive controller that adapts to ground proximity and body shape. The system is validated through numerous experimental demonstrations. We find that ATMO can land smoothly at body postures past its actuator saturation limits by virtue of the uncovered ground-effect.
关键词
相关论文
基于非线性滑模模型预测控制与自适应跟随转向及动静态约束的六轮独立驱动/四轮独立转向无人地面车辆轨迹跟踪控制
Shengyang Lu, Guanpeng Chen, Lijing Zhao 等 5 位作者
Robotics and Autonomous Systems · 2026
仿生水下机器人:材料、设计、控制与应用进展
Dilip Muchhala, Pramod Kumar Maurya, Adarsh Raut 等 6 位作者
Robotics and Autonomous Systems · 2026
刚柔混合连杆人形机器人的建模与控制
Zewen He, Taiki Ishigaki, Ko Yamamoto
Robotics and Autonomous Systems · 2026
人-外骨骼-助行器系统的人工推动自适应协调控制
Xinhao Zhang, Chen Yang, Chaobin Zou 等 7 位作者
Robotics and Autonomous Systems · 2026