Data Fusion Applied to the Leader-Based Bat Algorithm to Improve the Localization of Mobile Robots.

The increasing demand for autonomous mobile robots in complex environments calls for efficient path-planning algorithms. Bio-inspired algorithms effectively address intricate optimization challenges, but their computational cost increases with the number of particles, which is great when implementing algorithms of high accuracy. To address such topics, this paper explores the application of the leader-based bat algorithm (LBBA), an enhancement of the traditional bat algorithm (BA).

A Computational Model of Hybrid Trunk-like Robots for Synergy Formation in Anticipation of Physical Interaction.

Trunk-like robots have attracted a lot of attention in the community of researchers interested in the general field of bio-inspired soft robotics, because trunk-like soft arms may offer high dexterity and adaptability very similar to elephants and potentially quite superior to traditional articulated manipulators. In view of the practical applications, the integration of a soft hydrostatic segment with a hard-articulated segment, i.e.

Multiorifice acoustic microrobot for boundary-free multimodal 3D swimming.

The emerging new generation of small-scaled acoustic microrobots is poised to expedite the adoption of microrobotics in biomedical research. Recent designs of these microrobots have enabled intricate bioinspired motions, paving the way for their real-world applications. We present a multiorifice design of air-filled spherical microrobots that convert acoustic wave energy to efficient propulsion through a resonant encapsulated microbubble.

Advancing Soft Robot Proprioception Through 6D Strain Sensors Embedding.

Soft robots and bioinspired systems have revolutionized robot design by incorporating flexibility and deformable materials inspired by nature's ingenious designs. Similar to many robotic applications, sensing and perception are paramount to enable soft robots to adeptly navigate the unpredictable real world, ensuring safe interactions with both humans and the environment. Despite recent progress, soft robot sensorization still faces significant challenges due to the virtual infinite degrees of freedom of the system and the need for efficient computational models capable of estimating valuable information from sensor data.

Versatile graceful degradation framework for bio-inspired proprioception with redundant soft sensors.

Reliable proprioception and feedback from soft sensors are crucial for enabling soft robots to function intelligently in real-world environments. Nevertheless, soft sensors are fragile and are susceptible to various damage sources in such environments. Some researchers have utilized redundant configuration, where healthy sensors compensate instantaneously for lost ones to maintain proprioception accuracy.

Multidimensional free shape-morphing flexible neuromorphic devices with regulation at arbitrary points.

Biological neural systems seamlessly integrate perception and action, a feat not efficiently replicated in current physically separated designs of neural-imitating electronics. This segregation hinders coordination and functionality within the neuromorphic system. Here, we present a flexible device tailored for neuromorphic computation and muscle actuation.

Bioinspired bicontinuous adhesive hydrogel for wearable strain sensor with high sensitivity and a wide working range.

Conductive hydrogel strain sensors demonstrate extensive potential in artificial robotics, human-computer interaction, and health monitoring, owing to their excellent flexibility and biocompatibility. Wearable strain sensors for real-time monitoring of human activities require hydrogels with self-adhesion, desirable sensitivity, and wide working range. However, balancing the high sensitivity and a wide working range remains a challenge.

Pattern architected soft magnetic actuation.

Bioinspired shape-morphing soft magnetic actuators have potential applications in medicine, robotics, and engineering due to their soft body, untethered control, and infinite degrees of freedom. The shape programming of the soft magnetic actuators (consisting of soft ferromagnetic CI particles in a soft matrix) is an involved task, as it requires a moulding process severely limiting the capability to program complex shapes. The current study explores a shape programming technique that architects the particle pattern configuration in the actuator, mimicking the pattern found in the mould-programmed actuator, thereby eliminating the need for a mould and providing a greater capability of programming complex shapes.

Foot trajectory as a key factor for diverse gait patterns in quadruped robot locomotion.

Four-legged robots are becoming increasingly pivotal in navigating challenging environments, such as construction sites and disaster zones. While substantial progress in robotic mobility has been achieved using reinforcement learning techniques, quadruped animals exhibit superior agility by employing fundamentally different strategies. Bio-inspired controllers have been developed to replicate and understand biological locomotion strategies.

Insect-inspired passive wing collision recovery in flapping wing microrobots.

Flying insects have developed two distinct adaptive strategies to minimize wing damage during collisions. One strategy includes an elastic joint at the leading edge, which is evident in wasps and beetles, while another strategy features an adaptive and deformable leading edge, as seen in bumblebees and honeybees. Inspired by the latter, a novel approach has been developed for improving collision recovery in micro aerial vehicles (MAVs) by mimicking the principle of stiffness anisotropy present in the leading edges of these insects.

Bio-inspired carbon-based artificial muscle with precise and continuous morphing capabilities.

In the face of advancements in microrobotics, intelligent control and precision medicine, artificial muscle actuation systems must meet demands for precise control, high stability, environmental adaptability and high integration miniaturization. Carbon materials, being lightweight, strong and highly conductive and flexible, show great potential for artificial muscles. Inspired by the butterfly's proboscis, we have developed a carbon-based artificial muscle, hydrogen-substituted graphdiyne muscle (HsGDY-M), fabricated efficiently using an emerging hydrogen-substituted graphdiyne (HsGDY) film with an asymmetrical surface structure.

Bioinspired surface structures for added shear stabilization in suction discs.

Many aquatic organisms utilize suction-based organs to adhere to diverse substrates in unpredictable environments. For multiple fish species, these adhesive discs include a softer disc margin consisting of surface structures called papillae, which stabilize and seal on variable substrates. The size, arrangement, and density of these papillae are quite diverse among different species, generating complex disc patterns produced by these structures.

Bioinspired origami-based soft prosthetic knees.

Prosthetic knees represent a prevalent solution for above-knee amputation rehabilitation. However, satisfying the ambulation requirements of users while achieving their comfort needs in terms of lightweight, bionic, shock-absorbing, and user-centric, remains out of reach. Soft materials seem to provide alternative solutions as their properties are conducive to the comfort aspect.

Biomimetic Plant-Root-Inspired Robotic Sensor System.

There are many examples in nature in which the ability to detect is combined with decision-making, such as the basic survival instinct of plants and animals to search for food. We can technically translate this innate function via the use of robotics with integrated sensors and artificial intelligence. However, the integration of sensing capabilities into robotics has traditionally been neglected due to the significant associated technical challenges.

Nonequilibrium Self-Assembly of Microtubules Through Stepwise Sequential Interactions of DNA.

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.

A bioinspired fish fin webbing for proprioceptive feedback.

The propulsive fins of ray-finned fish are used for large scale locomotion and fine maneuvering, yet also provide sensory feedback regarding hydrodynamic loading and the surrounding environment. This information is gathered via nerve cells in the webbing between their fin rays. A similar bioinspired system that can gather force feedback from fin motion could enable valuable insight into robotic underwater locomotion improving swimming efficiency and orientation.

Research on the movement pattern and kinematic model of the hindlegs of the water boatman.

The special hindleg structure and swimming setae of a water boatman give it a high degree of maneuverability, which plays an important role in swimming. This paper used a high-speed photography platform to extract key points from videos, obtaining the forward and turning movement patterns of the water boatman's hindlegs, as well as the transformation patterns of the setae. A Fourier series was used to establish the movement models of each hindleg joint, and a kinematic model of the hindlegs was established to study the continuous movement characteristics of the hindlegs.

Ultralow Voltage High-Performance Nanocellulose-Based Electro-Ionic Actuators for Soft Robots.

High-performance eco-friendly soft actuators showing large displacement, fast response, and long-term operational capability require further development for next-generation bioinspired soft robots. Herein, we report an electro-ionic soft actuator based on carboxylated cellulose nanocrystals (CCNC) and carboxylated cellulose nanofibers (CCNF), graphene nanoplatelets (GN), and ionic liquid (IL). The actuator exhibited exceptional actuation performances, achieving large displacements ranging from 1.

Bio-inspiration unveiled: Dissecting nature's designs through the lens of the female locust's oviposition mechanism.

Investigating nature's ingenious designs and systems has become a cornerstone of innovation, influencing fields from robotics, biomechanics, and physics to material sciences. Two key questions, however, regarding bio-inspired innovation are those of how and where does one find bio-inspiration? The perspective presented here is aimed at providing insights into the evolving landscape of bio-inspiration discovery. We present the unique case of the female locust's oviposition as a valuable example for researchers and engineers seeking to pursue multifaceted research, encompassing diverse aspects of biological and bio-inspired systems.

Waveform geometry dictating optimal cruising in animals.

For sustained swimming and flights, vertebrates and insects oscillate their propulsors periodically within a narrow range of Strouhal number (St), a dimensionless quantity describing the rate and density of the motion, suggesting a close relationship between the range and cruising optimality. The persistence of this range across size and fluids has puzzled biologists and engineers, resulting in multiple interpretations of its cause. Here, we propose that the optimal St range is largely constrained by power output efficiency of the trailing edge of the caudal fin.

Advanced visual components inspired by animal eyes.

Artificial vision systems pervade our daily lives as a foremost sensing apparatus in various digital technologies, from smartphones to autonomous cars and robotics. The broad range of applications for conventional vision systems requires facile adaptation under extreme and dynamic visual environments. However, these current needs have complicated individual visual components for high-quality image acquisition and processing, which indeed leads to a decline in efficiency in the overall system.

Bioinspired adaptive lipid-integrated bilayer coating for enhancing dynamic water retention in hydrogel-based flexible sensors.

While hydrogel-based flexible sensors find extensive applications in fields such as medicine and robotics, their performance can be hindered by the rapid evaporation of water, leading to diminished sensitivity and mechanical durability. Despite the exploration of some effective solutions, such as introducing organic solvents, electrolytes, and elastomer composites, these approaches still suffer from problems including diminished conductivity, interface misalignment, and insufficient protection under dynamic conditions. Inspired by cell membrane structures, we developed an adaptive lipid-integrated bilayer coating (ALIBC) to enhance water retention in hydrogel-based sensors.

Powering a molecular delivery system by harvesting energy from the leaf motion in wind.

Smart agriculture tools as well as advanced studies on agrochemicals and plant biostimulants aim to improve crop productivity and more efficient use of resources without sacrificing sustainability. Recently, multiple advanced sensors for agricultural applications have been developed, however much less advancement is reported in the field of precise delivery of agriculture chemicals. The organic electronic ion pump (OEIP) enables electrophoretically-controlled delivery of ionic molecules in the plant tissue, however it needs external power-supplies complicating its application in the field.