ATMO: an aerially transforming morphobot for dynamic ground-aerial transition

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.

Authors

Institutions

Publication Details

Journal
Communications Engineering
Published
2025-04-19
DOI
https://doi.org/10.1038/s44172-025-00413-6
Citations
3
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
14.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ATMO: an aerially transforming morphobot for dynamic ground-aerial transition

Morteza Gharib, Richard M. Murray, Ioannis Mandralis, Reza Nemovi et al.
3 citations
Communications Engineering
Robotics and Sensor-Based Localization
14.98
article

ATMO: an aerially transforming morphobot for dynamic ground-aerial transition

Morteza Gharib, Richard M. Murray, Ioannis Mandralis, Reza Nemovi, Alireza Ramezani
article en
3 citations

Abstract

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.

Communications EngineeringVol. 4(1)
California Institute of Technology (US), Northeastern University (US)
California Institute of Technology
Climate action
Openalex Percentile: Top 2%
Robotics and Sensor-Based Localization
14.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ATMO: an aerially transforming morphobot for dynamic ground-aerial transition — Morteza Gharib, Richard M. Murray, et al. · Communications Engineering (2025) | TGRS Research Map | TGRS