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20242026
most citedRod models in continuum and soft robot control: a review

6 citations · 6 across the 1 of their papers we have counts for

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6 papers

cs.RO20266 cited

Rod models in continuum and soft robot control: a review

Carlo Alessi, Camilla Agabiti, Daniele Caradonna +3

Continuum and soft robots can transform automation tasks requiring compliant interaction in constrained or unstructured environments, including healthcare, agriculture, marine, and…

cs.RO2025

ZodiAq: An Isotropic Flagella-Inspired Soft Underwater Drone for Safe Marine Exploration

Anup Teejo Mathew, Daniel Feliu-Talegon, Yusuf Abdullahi Adamu +5

The inherent challenges of robotic underwater exploration, such as hydrodynamic effects, the complexity of dynamic coupling, and the necessity for sensitive interaction with marine…

cs.RO2025

Soft Synergies: Model Order Reduction of Hybrid Soft-Rigid Robots via Optimal Strain Parameterization

Abdulaziz Y. Alkayas, Anup Teejo Mathew, Daniel Feliu-Talegon +3

Soft robots offer remarkable adaptability and safety advantages over rigid robots, but modeling their complex, nonlinear dynamics remains challenging. Strain-based models have rece…

cs.RO2025

Soft Vision-Based Tactile-Enabled SixthFinger: Advancing Daily Objects Manipulation for Stroke Survivors

Basma Hasanen, Mashood M. Mohsan, Abdulaziz Y. Alkayas +2

The presence of post-stroke grasping deficiencies highlights the critical need for the development and implementation of advanced compensatory strategies. This paper introduces a n…

cs.RO2024

Real-time Dynamics of Soft Manipulators with Cross-section Inflation: Application to the Octopus Muscular Hydrostat

Yuchen Sun, Anup Teejo Mathew, Imran Afgan +2

Inspired by the embodied intelligence of biological creatures like the octopus, the soft robotic arm utilizes its highly flexible structure to perform various tasks in the complex…

cs.RO2024

Analytical Derivatives for Efficient Mechanical Simulations of Hybrid Soft Rigid Robots

Anup Teejo Mathew, Frederic Boyer, Vincent Lebastard +1

Algorithms that use derivatives of governing equations have accelerated rigid robot simulations and improved their accuracy, enabling the modeling of complex, real-world capabiliti…