Scientists Use Soft Robotics and Fossil Findings to Create Robotic Emulation of Ancient Marine Creature

In an exciting development in the field of paleobiology, scientists from the Mechanical Engineering Department at Carnegie Mellon University have partnered with paleontologists from Spain and Poland to create a flexible robotic emulation of pleurocystitids, an ancient marine creature that thrived around 450 million years ago. This collaboration aims to broaden our understanding of animal design and locomotion through the incorporation of Soft robotics, a cutting-edge technology that mimics biological systems.

Background

The use of Softbotics opens up new possibilities for studying biological systems by replicating their functionality. The researchers’ goal is to bring ancient organisms “back to life” in a sense, in order to understand how they operated. Pleurocystitids, the focus of their study, were intriguing creatures that existed millions of years ago and possessed unique locomotion mechanisms.

Design and Construction

To recreate the pleurocystitids, the team turned to the fossils as their guide. By utilizing the fossil data as a blueprint, they employed a combination of 3D printed components and polymers to replicate the pliable, columnar structure of the organism’s mobile appendages in constructing the robot. This approach allowed for a faithful emulation of the pleurocystitids’ physical characteristics.

In order to understand how pleurocystitids moved through their environment, the researchers conducted a series of experiments. Their findings revealed that these ancient creatures likely navigated the seafloor by employing a stem-like structure that propelled them forward. Additionally, through their investigations, they determined that broad, sweeping movements represented the most efficient mode of motion for pleurocystitids.

Enhancing Speed

Interestingly, the researchers observed that elongating the stem significantly enhanced the creature’s speed without requiring a greater expenditure of energy. This particular discovery has far-reaching implications for the understanding of pleurocystitids’ locomotion and sheds light on how they adapted to their environment and survived.

Surface Influence on Locomotion

One of the most intriguing questions that still remains unanswered regarding pleurocystitids is the influence of the type of surface they inhabited on their method of locomotion. Did pleurocystitids encounter different challenges when moving through sand compared to when moving through mud? This unanswered inquiry warrants further investigation and could provide valuable insights into the adaptability and versatility of these ancient creatures.

Future Research

With the successful application of Softbotics in recreating extinct organisms like pleurocystitids, the scientific team is motivated to delve deeper into the study of other extinct creatures. They aspire to explore the locomotion mechanisms of the earliest organisms capable of transitioning from the sea to the land, further widening our understanding of the evolutionary history between marine and terrestrial life forms.

Bringing to life something that existed nearly 500 million years ago is an exhilarating feat. However, what truly excites the scientists is the wealth of knowledge and understanding they stand to gain from this breakthrough. By leveraging Softbotics and utilizing fossil findings, researchers have constructed a robotic emulation of pleurocystitids that demonstrates their unique locomotion strategies. This technological advancement paves the way for further exploration and provides invaluable insights into the complexities of ancient organisms. With continued research and the application of paleobionics, we are poised to uncover even more secrets from the depths of Earth’s history.

Explore more

Microsoft Dynamics 365 Finance Transforms Retail Operations

In today’s hyper-competitive retail landscape, success hinges on more than just offering standout products or unbeatable prices—it requires flawless operational efficiency and razor-sharp financial oversight to keep pace with ever-shifting consumer demands. Retailers face mounting pressures, from managing multi-channel sales to navigating complex supply chains, all while ensuring profitability remains intact. Enter Microsoft Dynamics 365 Finance (D365 Finance), a cloud-based

How Does Microsoft Dynamics 365 AI Transform Business Systems?

In an era where businesses are grappling with unprecedented volumes of data and the urgent need for real-time decision-making, the integration of Artificial Intelligence (AI) into enterprise systems has become a game-changer. Consider a multinational corporation struggling to predict inventory shortages before they disrupt operations, or a customer service team overwhelmed by repetitive inquiries that slow down their workflow. These

Will AI Replace HR? Exploring Threats and Opportunities

Setting the Stage for AI’s Role in Human Resources The rapid integration of artificial intelligence (AI) into business operations has sparked a critical debate within the human resources (HR) sector: Is AI poised to overhaul the traditional HR landscape, or will it serve as a powerful ally in enhancing workforce management? With over 1 million job cuts reported in a

Trend Analysis: AI in Human Capital Management

Introduction to AI in Human Capital Management A staggering 70% of HR leaders report that artificial intelligence has already transformed their approach to workforce management, according to recent industry surveys, marking a pivotal shift in Human Capital Management (HCM). This rapid integration of AI moves HR from a traditionally administrative function to a strategic cornerstone in today’s fast-paced business environment.

How Can Smart Factories Secure Billions of IoT Devices?

In the rapidly evolving landscape of Industry 4.0, smart factories stand as a testament to the power of interconnected systems, where machines, data, and human expertise converge to redefine manufacturing efficiency. However, with this remarkable integration comes a staggering statistic: the number of IoT devices, a cornerstone of these factories, is projected to grow from 19.8 billion in 2025 to