mlsanityData to 7 Oct 2026

Model Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges

arXiv 2110.01358 ↗First posted 4 Oct 2021eess.SY cs.RO cs.SYcited by 15

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Abstract (arXiv)

Continuum soft robots are mechanical systems entirely made of continuously deformable elements. This design solution aims to bring robots closer to invertebrate animals and soft appendices of vertebrate animals (e.g., an elephant's trunk, a monkey's tail). This work aims to introduce the control theorist perspective to this novel development in robotics. We aim to remove the barriers to entry into this field by presenting existing results and future challenges using a unified language and within a coherent framework. Indeed, the main difficulty in entering this field is the wide variability of terminology and scientific backgrounds, making it quite hard to acquire a comprehensive view on the topic. Another limiting factor is that it is not obvious where to draw a clear line between the limitations imposed by the technology not being mature yet and the challenges intrinsic to this class of robots. In this work, we argue that the intrinsic effects are the continuum or multi-body dynamics, the presence of a non-negligible elastic potential field, and the variability in sensing and actuation strategies.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Oct 2021.

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Citing papers per year: 2023: 3; 2024: 4; 2025: 4; 2026: 4.

15 papers.

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  1. 2023Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systemscited by 7
  2. 2024Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Spacecited by 7
  3. 2023Graph learning in robotics: a surveycited by 5
  4. 2024Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Controlcited by 3
  5. 2025Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots using Physics-Informed Neural Networkscited by 3
  6. 2025Adaptive Model-Predictive Control of a Soft Continuum Robot Using a Physics-Informed Neural Network Based on Cosserat Rod Theorycited by 3
  7. 2023Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robotscited by 2
  8. 2025Learning Soft Robotic Dynamics with Active Explorationcited by 2
  9. 2024Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inferencecited by 1
  10. 2024Mastering Contact-rich Tasks by Combining Soft and Rigid Robotics with Imitation Learningcited by 1
  11. 2026Operator-Theoretic Foundations and Policy Gradient Methods for General MDPs with Unbounded Costscited by 1
  12. 2025Soft Robotics for Search and Rescue: Advancements, Challenges, and Future Directionscited by 0
3 more
  1. 2026A Continual Learning Framework for Adaptive Control of Modular Soft Robotscited by 0
  2. 2026Whole-Body Semantic-to-Actuation Grounding of Elephant-Inspired Soft-Trunk Motion via Lightweight Flow Matchingcited by 0
  3. 2026SoRoMoX: Fast, Differentiable, and Parallelizable Soft Robot Modelscited by 0