Yarn-Based Weaving for Soft Robotics: Revolutionizing Healthcare

Globally, electronics engineers are busy developing devices that are flexible, adaptable, and built for high performance. These devices are designed for real-world applications, including – robotics, healthcare and wearable technology. Similar efforts are underway in developing smart textiles as well. Interestingly, these fabrics can detect environmental changes or perform specific functions.

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Interview: Dr. Shoji Takeuchi, a Biohybrid Systems Scientist at The University of Tokyo, Japan

Welcome to our chat with Dr. Shoji Takeuchi, a Biohybrid Systems Scientist rocking it at The University of Tokyo. Dr. Takeuchi’s research covers a bunch of cool stuff like Biohybrid Systems, MEMS, Microfluidics, Tissue Engineering, and Artificial Cell Membrane. Basically, he’s all about blending biology and tech to create awesome bio-hybrid systems.

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Biohybrid Bipedal: Muscle-Powered Two-Legged Robot

Unlike robots, our bodies are super flexible and can make delicate moves effortlessly. Components like muscles, joints, and nerves work in tandem and allow us to make precise and delicate movements with ease. Robots, on the other hand, rely on rigid structures and predefined movements; in contrast, our bodies can adapt and respond dynamically to various situations.

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Interview: Dr. Yifan Zhu, Robotics Scientist at the University of Illinois at Urbana-Champaign

In the vast realm of the Intelligent Motion Lab, where the interplay of human ingenuity and technological wonders dance harmoniously, resides Dr. Yifan Zhu. A visionary soul, Dr. Zhu finds solace in the realm of robotics, under the wise guidance of Prof. Kris Hauser. Together, they delve deep into uncharted territories. Like a master sculptor shaping formless clay, Dr. Zhu’s focus lies in unravelling the secrets of deformable objects. Through painstaking analysis and intricate algorithms, he breathes life into these enigmatic entities, capturing their essence within a digital tapestry.

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Interview: Dr. Enrico Donato, BioRobotics Scientist at Scuola Superiore Sant’Anna, Italy

Dr. Enrico Donato is a Doctoral Researcher at the Brain-Inspired Robotics (BRAIR) Laboratory of The BioRobotics Istitute, Scuola Superiore Sant’Anna. With an insatiable appetite for scientific exploration, he delves deep into the fascinating realm of soft robotics. His mind dances with algorithms, composing intricate control models that breathe life into these mechanical marvels.

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Book Review: The Naked Sun by Isaac Asimov

The Naked Sun is a captivating and enjoyable murder mystery that remains highly readable, even after several decades. It was published in 1957. And it is the second instalment in Asimov’s ‘Robot’ series, succeeding The Caves of Steel, which was released three years prior. Asimov here presents a plethora of thought-provoking concepts, by exploring the boundaries of science, space, technology, psychology, and societal dynamics.

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Plant-inspired Controller for Robotic Arms: Biomimicry

Biomimicry is the practice of imitating biological systems and processes. So far, it has been a valuable approach in robotics. By copying animals’ designs, engineers have tried to replicate billions of years of evolution. It has resulted in highly efficient and adaptable designs that nature has already passed on to. For instance, energy-efficient walking patterns inspired by animal gaits or bio inspired vision systems or lizard inspired four-legged robot.

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A Quadruped Robot with Proprioception and a Tail: Biomimicry

Nature has always inspired philosophers, scientists, and researchers alike. When it comes to solve human problems or create innovative products and technologies, studying nature’s designs and processes lead to more sustainable and efficient solutions. Afterall, nature has had millions of years to develop solutions to problems. These solutions have been honed through the process of natural selection. Learning and getting inspired from nature’s solutions, is called biomimicry. Designers, engineers, and scientists are inspired from nature to create more sustainable and efficient products and systems.

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Real-time Neural MPC: Deep Learning & Model Predictive Control Framework

Model predictive control (MPC) is a powerful technique that has gained popularity in recent years for controlling the movements of robotic agents. It involves using a model of the agent’s dynamics to predict its future behaviour. Followed by optimization of this behaviour to achieve a desired goal while also satisfying a set of constraints. MPC algorithms are capable of handling complex scenarios and can consider various factors such as the agent’s physical constraints, environmental conditions, and the dynamics of other objects in the environment. This makes MPC a popular choice…

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Lizard Inspired Four-legged Robot: Biomimicry

Technological advancement has opened-up exciting possibilities for research in space and celestial bodies beyond the Earth’s atmosphere. The use of robots in space exploration has greatly increased our understanding of other planets, especially Mars, and its possibility for supporting life. The exploration of Mars and its surface for extra-terrestrial life has always been a fascinating undertaking for astronomers. Additionally, the discovery of resources on Mars, such as water and minerals, could be an asset in future human missions.

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Butterfly Robots with Bistable Wings: Biomimicry

In an effort to create faster and more energy-efficient soft robots, researchers at North Carolina State University have created a prototype of swimming soft robots based on manta rays. The team got inspired from the biomechanics of the marine animal. Rate of swimming for most of the (swimming) soft robot is one body length per second, manta rays, however, glide at much faster rate. Their swimming efficiency triggered the scientists to look into the potentiality of creating a similar robot, biomechanically.

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Crab Inspired all weather Vision System: Biomimicry

To improve the imaging component in robotics, researchers have been trying to create various types of highly performing cameras, sensors and artificial vision systems.      Most of the vision systems are bio-inspired that is, they have been emulated from the systems and elements of nature including humans, animals, insects and fish. These systems, however, have their own restrictions because they operate in limited environment respectively. For instance, majority of (bio-inspired) existing sensors and cameras works either one of the following scenarios: on the ground like biomimetic eye with a hemispherical…

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Shapeshifting Nanobots to Brush and Floss Teeth: Toothbrushing Microbots

Toothbrush, or the heads per say, have not much evolved since ages, from rectangular they have only graduated to diamond shaped geometry. I really doubt how far does the new shape has been able to reach the teeth in the back. In the dental hygiene sequence floss, brush and rinse go hand in hand. And each step is an important and at times, cumbersome task especially for people with disabilities. Researchers at the University of Pennsylvania have put in an effort to combine these three steps in one with the…

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