8 papers · ranked by Valyu relevance
Duncan T. Forster, Sheena C. Li, Yoko Yashiroda, Mami Yoshimura + 9 more
Biological networks constructed from varied data, including protein-protein interactions, gene expression data, and genetic interactions can be used to map cellular function, but each data type has individual limitations such as bias and incompleteness. Network integration promises to address these limitations by…
Kwesi Afari Darfoor, Patrick M. Pilarski, Bailey Kacsmar
The human body is at the center of a growing family of technologies designed to tightly and persistently couple biological and digital systems. Robotic prostheses are a representative example of this tight coupling. Also referred to as bionic limbs, robotic prostheses are devices that support people who have lost limbs…
Mark Brinton, Elliott Barcikowski, Tyler Davis, Michael Paskett + 2 more
This paper describes a portable, prosthetic control system for at-home use of an advanced bionic arm. The system uses a modified Kalman filter to provide 6 degree-of-freedom, real-time, proportional control. We describe (a) how the system trains motor control algorithms for use with an advanced bionic arm, and (b) the…
Denys J. C. Matthies, Ruben Schlonsak, Huiping Zhuang, Rui Song
Injecting Responses of a Living Fly into Decision Making Authors: ['Denys J. C. Matthies' 'Ruben Schlonsak' 'Huiping Zhuang' 'Rui Song'] Abstract. In this paper, we introduce a new type of bionic AI that enhances decision-making unpredictability by incorporating responses from a living fly. Traditional AI systems…
Ozan Karaali, Hossam Farag, Strahinja Došen, Čedomir Stefanović
—Despite the recent advancements in human-machine interfacing, contemporary assistive bionic limbs face critical challenges, including limited computational capabilities, high latency, and unintuitive control mechanisms, leading to suboptimal user experience and abandonment rates. Addressing these challenges requires a…
Po-Yu Hsieh, June-Hao Hou
Transfer Function Identifications Authors: ['Po-Yu Hsieh' 'June-Hao Hou'] The control and modeling of bionic robot dynamics have increasingly adopted model-free control strategies using machine learning methods. Given the non-linear elastic nature of bionic robotic systems, learning-based methods provide reliable…
Minghao Zhang, Bifeng Song, Xiao‐Jun Yang, Wang Liang + 1 more
in the Design of Direct-Drive Dragonfly-Inspired Aircraft Authors: ['Minghao Zhang' 'Bifeng Song' 'Xiao‐Jun Yang' 'Wang Liang' 'Lang Xinyua'] Advancements in electronic technology and control algorithms have enabled precise flight control techniques, transforming bionic aircraft from principle imitation to…
Leonardo Giannantoni, Alessandro Savino, Stefano Di Carlo
In the expanding realm of computational biology, Reinforcement Learning (RL) emerges as a novel and promising approach, especially for designing and optimizing complex synthetic biological circuits. This study explores the application of RL in controlling Hopf bifurcations within ODE-based systems, particularly under…