10 accepted papers
Fast-legged humanoid robots are transforming industries from manufacturing to medical robotics, with the global market projected to grow from $0.67 billion in 2024 to $2.27 billion by 2033 at a 14.3% CAGR. Despite rapid advancements, challenges remain in navigating complex terrains, especially uneve
Many robotic and biological systems exploit their morphology’s interaction with the environment to become more adaptable, more energy efficient, and to simplify their control. The principles of morphological computation (MC) have been increasingly studied in recent years and researchers have investi…
Identifying terrain type is important for safely operating robots exploration in unstructured environments. In this letter, we firstly proposed a novel tapered whisker-based semi-supervised reservoir computing (TWSSRC) system for improving terrain classification and terrain property estimation for t
In this letter, we present for the first time the use of tapered whisker-based reservoir computing (TWRC) system mounted on a mobile robot for terrain classification and roughness estimation of unknown terrain. Hall effect sensors captured the oscillations at different locations along a tapered spri
While there are many soft matter sensing and actuation technologies, there is far less choice when it comes to soft material devices for control and computation. One solution is the Soft Matter Computer (SMC) which can perform both analogue and digital computations in soft materials. This computer p
CCD camera-based tactile sensors provide high-resolution information about the deformation of soft and elastic interfaces. However, they have poor scalibility as it is difficult to sense a large surface area without increasing the distance between the camera and the interface or using multiple proce…
In this letter, we propose benefiting from load readings at the base of a continuum appendage for real-time forward integration of Cosserat rod model with application in configuration and tip load estimation. The application of this method is successfully tested for stiffness imaging of a soft tissu
A reliable, accurate, and yet simple dynamic model is important to analyze, design and control continuum manipulators. Such models should be fast, as simple as possible and user-friendly to be widely accepted by the ever-growing robotics research community. In this study, we introduce two new modeli…
Being aware of our body has great importance in our everyday life. It helps us to complete difficult tasks, such as movement in a dark room or grasping a complex object. These skills are important for robots as well, however, robotic bodily awareness is still an open question, and the nonlinearity o…
Robots that exploit their embodiment promise to be more robust, energy-efficient, and adaptable. However, the majority of systems designed in this way are only capable of exploiting their embodiment when performing a single task in a single environment. For such robots to be capable of adapting to a