Swarm robotics will tackle real-world applications by leveraging automatic design, heterogeneity, and hierarchical self-organization.
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Route Optimization for UVC Disinfection Robot Using Bio-Inspired Metaheuristic Techniques.
Biomimetics (Basel)
December 2024
Institute of Knowledge Technology, University Complutense of Madrid, 28040 Madrid, Spain.
The COVID-19 pandemic highlighted the urgent need for effective surface disinfection solutions, which has led to the use of mobile robots equipped with ultraviolet (UVC) lamps as a promising technology. This study aims to optimize the navigation of differential mobile robots equipped with UVC lamps to ensure maximum efficiency in disinfecting complex environments. Bio-inspired metaheuristic algorithms such as the gazelle optimization algorithm, whale optimization algorithm, bat optimization algorithm, and particle swarm optimization are applied.
View Article and Find Full Text PDFNonequilibrium Self-Assembly of Microtubules Through Stepwise Sequential Interactions of DNA.
Small
December 2024
Department of Physics, Kyoto University, Kyoto, 606-8224, Japan.
The assembly of biological systems forms nonequilibrium patterns with different functionalities through molecular-level communication via stepwise sequential interaction and activation. The mimicking of this molecular signaling offers extensive opportunities to design self-assemblies of bioinspired synthetic nonequilibrium systems to develop molecular robots with active, adaptive, and autonomous behavior. Herein, the design and construction of biomolecular motor system, microtubule (MT)-kinesin based molecular swarm system, are reported through stepwise sequential interactions of DNA.
View Article and Find Full Text PDFProgrammable ultrasound-mediated swarms manipulation of bacteria-red blood cell microrobots for tumor-specific thrombosis and robust photothermal therapy.
Trends Biotechnol
December 2024
Guangdong Key Laboratory of Nanomedicine, CAS-HK Joint Lab of Biomaterials, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, Shenzhen 518055, PR China; Sino-Euro Center of Biomedicine and Health, Shenzhen 518024, PR China. Electronic address:
Despite the excellent advantages of biomicrorobots, such as autonomous navigation and targeting actuation, effective penetration and retention to deep lesion sites for effective therapy remains a longstanding challenge. Here, we present dual-engine cell microrobots, which we refer to as PR-robots, created by conjugating photosynthetic bacteria (PSB) with red blood cells (RBCs). The robots penetrate the tumor interior in swarms through combined hypoxic traction and ultrasound actuation (UA).
View Article and Find Full Text PDFCounterfactual rewards promote collective transport using individually controlled swarm microrobots.
Sci Robot
December 2024
Department of Physics, University of Konstanz, Universitaetsstrasse 10, Konstanz, 78464, Germany.
Swarm robots offer fascinating opportunities to perform complex tasks beyond the capabilities of individual machines. Just as a swarm of ants collectively moves large objects, similar functions can emerge within a group of robots through individual strategies based on local sensing. However, realizing collective functions with individually controlled microrobots is particularly challenging because of their micrometer size, large number of degrees of freedom, strong thermal noise relative to the propulsion speed, and complex physical coupling between neighboring microrobots.
View Article and Find Full Text PDFA Novel Multi-Objective Trajectory Planning Method for Robots Based on the Multi-Objective Particle Swarm Optimization Algorithm.
Sensors (Basel)
November 2024
School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.
The three performance indexes of the space robot, travel time, energy consumption, and smoothness, are the key to its important role in space exploration. Therefore, this paper proposes a multi-objective trajectory planning method for robots. Firstly, the kinematics and dynamics of the Puma560 robot are analyzed to lay the foundation for trajectory planning.
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