15 accepted papers
Soft robots,compared to rigid robots,possess inherent advantages,including higher degrees of freedom, compliance,and enhanced safety,which have contributed to their increasing application across various fields. Among these benefits, adaptability is particularly noteworthy. In this paper, adaptabilit…
Humans possess the capability to seamlessly integrate tools into their body schema, enabling precise and adaptive interactions with the environment. This touch-mediated ability allows us to dexterously use tools in everyday tasks, an ability currently lacking in robotic systems. In this work, we pro
Humans possess the capability to seamlessly integrate tools into their body schema, enabling precise and adaptive interactions with the environment. This touch-mediated ability allows us to dexterously use tools in everyday tasks, an ability currently lacking in robotic systems. In this work, we pro…
While soft robots offer advantages in adaptability and safe interaction, their modeling remains challenging. This letter presents a novel, data-driven approach for model order reduction of slender soft robots using autoencoder-parameterized strain within the Geometric Variable Strain (GVS) framework…
Tactile sensing is essential for enabling dexterous robotic manipulation, yet estimating contact states such as location and force from high-dimensional sensor measurements remains challenging due to noise and complex nonlinear mappings between raw signals and physical interaction states. In this wo…
Soft continuum robots possess inherent compliance and ensure safe interactions. Whilst advantageous, their high degrees of freedom pose significant challenges for estimating the robot's configuration and sensing external contacts. Existing analytical methods rely on finite state-representations that
Obtaining dense contact information for feedback control is vital for robotic manipulation. However, existing tactile sensing technologies have a large footprint, making seamless integration with current robotic devices difficult. This paper presents a novel multi-layer Electrical Impedance Tomograp
Soft continuum robots, characterized by their inherent compliance and dexterity, are increasingly pivotal in applications requiring delicate interactions with the environment such as the medical field. Despite their advantages, challenges persist in accurately modeling and controlling their shape du…
Soft continuum robots, fabricated from elastomeric materials, offer unparalleled flexibility and adaptability, making them ideal for applications such as minimally invasive surgery and inspections in constrained environments. With the miniaturization of imaging technologies and the development of no…
As soft robotic systems become increasingly complex, there is a need to develop sensory systems which can provide rich state information to the robot for feedback control. Multi-axis force sensing and control is one of the less explored problems in this domain. There are numerous challenges in the d…
Soft robotic grippers are becoming increasingly popular for agricultural and logistics automation. Their passive conformability enables them to adapt to varying product shapes and sizes, providing stable large-area grasps. This work presents a novel methodology for combining soft robotic grippers wi…
The ability to 3D print soft materials with integrated strain sensors enables significant flexibility for the design and fabrication of soft robots. Hydrogels provide an interesting alternative to traditional soft robot materials, allowing for more varied fabrication techniques. In this work, we inv
Soft robotic sensors have been limited in their applications due to their highly nonlinear time variant behavior. Current studies are either looking into techniques to improve the mechano-electrical properties of these sensors or into modelling algorithms that account for the history of each sensor.
With advances in the field of robotic manipulation, sensing and machine learning, robotic chefs are expected to become prevalent in our kitchens and restaurants. Robotic chefs are envisioned to replicate human skills in order to reduce the burden of the cooking process. However, the potential of rob
Dynamic control of soft robotic manipulators is a challenging field still in its nascent stages. Modeling is still a major hurdle due to its high dimensional nonlinear dynamic properties. Even if accurate models of these high dimensional nonlinear systems are available, the computational burden of t