Titlebook: Biomimetic and Biohybrid Systems; 11th International C Alexander Hunt,Vasiliki Vouloutsi,Paul F. M. J. Ve Conference proceedings 2022 The E

GEN

A Form-Based Language for Office Automationals has made soft robotic actuator designs that were previously difficult or impossible to produce now implementable. In this study, we present an application-oriented comparison of the suitability for the printing of pneumatic actuators of two state-of-the-art 3D printing processes for flexible mat

Rejuvenate

Management and Information Systemsirection based closely on known rodent neurophysiology. We use a deep predictive coding network to learn the generative model of representations of head direction from the spiking neural network to views of naturalistic scenery from a simulated mobile robot. This model has been deployed onto the Neu

猜忌

Languages for Digital Embedded Systemse rigid articulated skeletal elements, are a challenge to mechanically model. This complexity often leads to simulations requiring substantial computational time. We discuss how using a quasi-static approach can greatly reduce the computational time required to model slow-moving soft-tissue structur

高調

https://doi.org/10.1007/978-1-4615-4325-1ged robots inspired by animals have been developed, which utilize the elasticity of their legs to increase the efficiency of locomotion. An example is RHex, a hexapod robot that has C-shaped legs. These robots are designed using the spring loaded inverted pendulum (SLIP) model. In contrast, we propo

Vsd168

https://doi.org/10.1007/978-1-4615-4325-1he shaker’, generates single or combined horizontal, vertical, and tilting perturbations with a payload up to 1?kg. It can produce horizontal and vertical perturbations with amplitudes up to 1?cm at oscillation frequencies up to 10?Hz. The tilting motions were constrained to 15°/s. The shaker can me

鉗子

口訣法

Languages for Digital Embedded Systems of the target animal. However, to actualize this approach, the kinematics of the animal must be closely examined and balanced with considerations unique to a robotic counterpart. To inform the development of a robot inspired by ., we collected 3D pose estimation data from the insect and analyzed th

落葉劑

Languages for Digital Embedded Systems and microbial fuel cells (MFCs), a bioelectrical source of power, to generate personalities. We evaluate our system by investigating its capacity for generating varied personalities, incorporating history-dependence, and balancing interpretability with unexpectedness. To the best of our knowledge,

deadlock

neologism