Emerging Trends in Soft Robotics and Adaptive Physical Computing

The field of soft robotics and adaptive physical computing is rapidly advancing, with a focus on developing innovative materials, designs, and control systems that enable safe and effective human-robot interaction. Recent research has explored the use of modular origami manipulators, continuum robots, and soft robotic systems that can adapt to changing environments and tasks. A key challenge in this field is balancing task-specific performance with broader factors such as durability and manufacturability, which can be addressed through holistic co-design approaches that optimize the body and brain of soft robots simultaneously. Noteworthy papers in this area include one that demonstrates the use of a modal-space formulation for momentum observer contact estimation in continuum robots, and another that presents a holistic co-design framework for soft robotics that incorporates a broader range of design values and integrates real-world prototyping to refine evaluations. Additionally, research on adaptive physical computers has shown promise in enabling soft robots to compute and interact with their digital counterparts, paving the way for next-generation embodied intelligence.

Sources

Re-purposing a modular origami manipulator into an adaptive physical computer for machine learning and robotic perception

A Modal-Space Formulation for Momentum Observer Contact Estimation and Effects of Uncertainty for Continuum Robots

Fabrication and Characterization of Additively Manufactured Stretchable Strain Sensors Towards the Shape Sensing of Continuum Robots

Soft yet Effective Robots via Holistic Co-Design

Contact-Aware Safety in Soft Robots Using High-Order Control Barrier and Lyapunov Functions

SCU-Hand: Soft Conical Universal Robotic Hand for Scooping Granular Media from Containers of Various Sizes

Estimating Dynamic Soft Continuum Robot States From Boundaries

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