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Biomimetics, Volume 10, Issue 3

March 2025 - 65 articles

Cover Story: A novel neuromorphic framework of a BMI system for prosthetics control via decoding Electro Cortico-Graphic (ECoG) brain signals was proposed. It includes a three-dimensional spike-timing neural network (3D-SNN) module for spatio-temporal feature extraction from brain signals and an online trainable recurrent reservoir module (echo state network (ESN)) for desired Motor Control Decoding (MCD). The decoder is able to adapt continuously in real time in supervised or unsupervised mode. The proposed approach was tested on several experimental data sets acquired from a tetraplegic person. Future implementation on a neuromorphic hardware platform that is smaller in size and significantly less power consuming is also discussed. View this paper
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Articles (65)

  • Article
  • Open Access
3 Citations
1,578 Views
25 Pages

Chemical oxygen demand (COD) is a critical parameter employed to assess the level of organic pollution in water. Accurate COD detection is essential for effective environmental monitoring and water quality assessment. Ultraviolet–visible (UV-Vi...

  • Article
  • Open Access
1 Citations
3,174 Views
21 Pages

Multi-Humanoid Robot Arm Motion Imitation and Collaboration Based on Improved Retargeting

  • Xisheng Jiang,
  • Baolei Wu,
  • Simin Li,
  • Yongtong Zhu,
  • Guoxiang Liang,
  • Ye Yuan,
  • Qingdu Li and
  • Jianwei Zhang

Human–robot interaction (HRI) is a key technology in the field of humanoid robotics, and motion imitation is one of the most direct ways to achieve efficient HRI. However, due to significant differences in structure, range of motion, and joint...

  • Article
  • Open Access
1 Citations
1,626 Views
22 Pages

A Robust Disturbance Rejection Whole-Body Control Framework for Bipedal Robots Using a Momentum-Based Observer

  • Shuai Heng,
  • Xizhe Zang,
  • Yan Liu,
  • Chao Song,
  • Boyang Chen,
  • Yue Zhang,
  • Yanhe Zhu and
  • Jie Zhao

This paper presents a complete planner and controller scheme for bipedal robots, designed to enhance robustness against external disturbances. The high-level planner utilizes model predictive control (MPC) to optimize both the foothold location and s...

  • Review
  • Open Access
3 Citations
6,707 Views
19 Pages

Bonding Protocols for Lithium Disilicate Veneers: A Narrative Review and Case Study

  • Silvia Rojas-Rueda,
  • Jose Villalobos-Tinoco,
  • Clint Conner,
  • Staley Colvert,
  • Hamid Nurrohman and
  • Carlos A. Jurado

Background: The bonding protocol for lithium disilicate veneers in the esthetic zone plays a crucial role in modern dental restoration techniques, focusing on the replication of natural tooth properties and esthetics. This process involves several me...

  • Article
  • Open Access
970 Views
21 Pages

Improved interpretation of electroencephalography (EEG) associated with the neural control of essential hand movements, including wrist extension (WE) and wrist flexion (WF), could improve the performance of brain–computer interfaces (BCIs). Th...

  • Article
  • Open Access
3 Citations
3,309 Views
19 Pages

Human-like Dexterous Grasping Through Reinforcement Learning and Multimodal Perception

  • Wen Qi,
  • Haoyu Fan,
  • Cankun Zheng,
  • Hang Su and
  • Samer Alfayad

Dexterous robotic grasping with multifingered hands remains a critical challenge in non-visual environments, where diverse object geometries and material properties demand adaptive force modulation and tactile-aware manipulation. To address this, we...

  • Article
  • Open Access
1,011 Views
22 Pages

FedDyH: A Multi-Policy with GA Optimization Framework for Dynamic Heterogeneous Federated Learning

  • Xuhua Zhao,
  • Yongming Zheng,
  • Jiaxiang Wan,
  • Yehong Li,
  • Donglin Zhu,
  • Zhenyu Xu and
  • Huijuan Lu

Federated learning (FL) is a distributed learning technique that ensures data privacy and has shown significant potential in cross-institutional image analysis. However, existing methods struggle with the inherent dynamic heterogeneity of real-world...

  • Review
  • Open Access
5 Citations
3,005 Views
41 Pages

Biomimetic Polyurethanes in Tissue Engineering

  • Edyta Hebda and
  • Krzysztof Pielichowski

Inspiration from nature is a promising tool for the design of new polymeric biomaterials, especially for frontier technological areas such as tissue engineering. In tissue engineering, polyurethane-based implants have gained considerable attention, a...

  • Article
  • Open Access
1,122 Views
23 Pages

Bionic paddling robots, as a novel type of underwater robot, demonstrate significant potential in the fields of underwater exploration and development. However, current research on bionic paddling robots primarily focuses on the motion mechanisms of...

  • Article
  • Open Access
3 Citations
1,474 Views
17 Pages

Decoding Brain Signals in a Neuromorphic Framework for a Personalized Adaptive Control of Human Prosthetics

  • Georgi Rusev,
  • Svetlozar Yordanov,
  • Simona Nedelcheva,
  • Alexander Banderov,
  • Fabien Sauter-Starace,
  • Petia Koprinkova-Hristova and
  • Nikola Kasabov

Current technological solutions for Brain-machine Interfaces (BMI) achieve reasonable accuracy, but most systems are large in size, power consuming and not auto-adaptive. This work addresses the question whether current neuromorphic technologies coul...

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Biomimetics - ISSN 2313-7673