Point Pressure’s Post

We are delighted that our educational and scientific collaboration with the University of Toronto continues to flourish, yielding fruitful joint projects! Recently, a study by Andrii Dashkovets, a research fellow at our faculty, and Brokoslaw Laschowski, a researcher from the University of Toronto, was published. The study presents a new reinforcement learning algorithm for modeling human motor control. The researchers have taken a significant step toward creating robotic prostheses and exoskeletons that mimic natural human gait. Key findings of the study: ✅ A new two-layer Q-learning algorithm utilizing k-d trees for modeling walking dynamics. ✅ High efficiency: the algorithm requires 7 times less RAM and 87 times less CPU time compared to previous methods. ✅ 79% accuracy in biomimetic walking simulations, achieved through expert demonstrations and biomechanical data. ✅ The first step toward developing bio-inspired controllers for robotic prostheses and exoskeletons. This technology opens up new opportunities in the development of robotic prostheses and exoskeletons capable of operating in real-time with minimal resources. Future research will focus on improving simulation accuracy and modeling other types of locomotion. The study was presented at the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) in Heidelberg, Germany. Read the article: https://lnkd.in/dJcwGpHR

To advance soft robotics, skin-integrated electronics and biomedical devices, researchers at Penn State University have developed a 3D-printed material that is soft and stretchable — traits needed for matching the properties of tissues and organs — and that self-assembles. Their approach employs a process that eliminates many drawbacks of previous fabrication methods, such as less conductivity or device failure, the team said. Check out the full article here: https://lnkd.in/e_jngxiU Image/video credits: Penn State University -------------------------------- How to get your company on Wevolver? Wevolver is a platform used by millions of engineers to stay up to date about the latest technologies. Learn how your company can connect with the community and reach a global audience of engineers: https://lnkd.in/gtbsMuU2

I recently completed a fascinating course on Robotic Rehabilitation this semester, and I wanted to share some of the exciting topics covered in the course: I. Basics of Robotics: Delved into the fundamental principles of robotics, robot kinematics, dynamics and control. II. Human Biomechanics: Studied human movement mechanics, joint mechanics, muscle function, and motor control in great depth. III. Biomedical Assessment: Acquired a comprehensive understanding of diverse assessment techniques utilized in the realm of rehabilitation. IV. Prosthetics: Explored the design and integration of prosthetic devices with robotics, enhancing mobility and quality of life during rehabilitation. V. Exoskeletons: Explored wearable robotic exoskeletons for gait assistance and rehabilitation, studying their mechanisms, control algorithms, and clinical applications. VI. Cognitive Rehabilitation: Explored technologies and innovative approaches (such as virtual reality) aimed at restoring cognitive function. Course flyer could be fund in the link below: https://lnkd.in/dkN_Y7wQ I would like to extend my sincere appreciation to Dr. Rezvan Nasiri for his invaluable guidance and expertise as the course instructor and also Mostafa Hamidifard and Sajjad Alamdar for their great assistance throughout the course. Videos description: 1. Controlling simulated hand joints for a specific configuration using PID 2. "Rabbit" model used for human walking simulation 3. Flow controller implemented to control a sagittal 2DOF robot 4. Musculoskeletal gait modeling in OpenSim.

Researchers from Texas A&M University and Sandia National Laboratories have improved interlocking metasurfaces (ILMs) by adding shape memory alloys (SMAs). These ILMs, made with nickel-titanium, can be activated or deactivated by adjusting temperatures, all while maintaining their strength. This innovation could transform mechanical joints in fields like aerospace, robotics, and biomedical devices, offering more precision, flexibility, and adaptability. Future research aims to use SMAs' superelasticity for even stronger, more resilient ILMs that can handle extreme conditions. Read more https://bit.ly/4dH260t #Innovation #MaterialsScience #SmartTech #Aerospace #Robotics #BiomedicalTech #ShapeMemoryAlloys #Engineering #RandD #RandDProjects #RandDtaxRelief #TaxConsultant #Consultancy

Time to celebrate! 🎉 We would like to congratulate all our Mechatronics and Systems Engineering (Medical Technology🔬 | Robotics 🤖) students on their graduation 🎓. We are sure that their step within the BFH will enable them to realise all their dreams, projects, ... and thus become the key engineers of tomorrow! 🚀 #bfh #hesb #bernerfachhochschule #mechatronik #mecatronique #Mechatronics #systemtechnik #techniquesystemes #system #techniquemedicale #medizintechnik #mikrotechnik #microtechnique #robotik #robotique #optics #photonics #sensor #reha #robotics #technology #TechInnovation #productdevelopment #engineering #innovation #bachelor #research #science #creativity #future #grandchasseral #seeland

🌊 Researchers at the California Institute of Technology (Caltech) have augmented jellyfish with cyborg technology to gather data about how our oceans are affected by climate change. 🧠 An interesting fact about jellyfish is that they don’t have a brain. Another is that they have been roaming the ocean for at least 600 million years. It is this last fact that piqued the interest of researchers at Caltech. As jellyfish are very good swimmers and able to journey to depths humans can’t, the researchers considered using them to collect information about the ocean’s temperature, salinity and oxygen levels – particularly how they are affected by climate change.   🤖 Led by John Dabiri, centennial professor of aeronautics and mechanical engineering at Caltech, the research team created biohybrid robotic jellyfish.  These ocean-going cyborgs augment jellyfish with electronics that enhance their swimming. They also wear prosthetic 3D printed ‘hats’ that not only enable them to carry a small payload, such as sensors and other electronics, but also make them more streamlined.   ➡ Read more in the article from Tanya Weaver in Institution of Engineering and Technology (IET) Magazine https://lnkd.in/egFrfesk #innovation #robots #electronics #jellyfish 

Dean Zadok, a Ph.D. student in the Henry and Marilyn Taub Faculty of Computer Science at the Technion is reshaping the future for amputees. Zadok developed a robotic hand that allows the wearer to play the piano and type on a keyboard. His system uses ultrasound technology that reads muscle movements. “Many people who have lost a hand give up on the prosthesis after a short period because it is heavy, cumbersome, and its effectiveness is very limited,” said Dean Zadok, a Ph.D. student in the Henry and Marilyn Taub Faculty of Computer Science. “We are trying to develop lightweight, comfortable, and efficient solutions that enable precise and sensitive hand actions and finger movements.” From advanced robotics to personalized solutions, every step forward brings us closer to a world of inclusivity and empowerment. Read more about advancements from the Technion - Israel Institute of Technology: https://lnkd.in/gubH2Sbs #TechnionImpact #Technion #Robotics #Prosthetics #HumanHealth

Do you want to know more about Event-Driven Perception for Robotics - IIT? Read this Q&A with Chiara Bartolozzi, PI of Event-Driven Perception for Robotics - IIT

Researchers at Penn State have developed a new 3D-printed material designed to advance soft robotics, skin-integrated electronics, and biomedical devices. To know about the new 3D-printed material designed check ELE Times at https://lnkd.in/gJeunYi3 #3Dprinting #Robotics #biomedical #softrobotics

A recent scientific journal published by the mechanical engineering department of the Georgia Institute of Technology about their impressive results regarding an experimental exoskeleton control system that compensates for the differences in body types and body composition using AI rather than traditional methods of rigid predefined settings caught the attention of the biomedical community. According to Joshua Stewart, a journalist working with Science Daily, an engineering-focused news site, published an article titled “Universal controller could push robotic prostheses, exoskeletons into real-world use” regarding this monumental approach and its potential benefits that may allow for more rapid deployment of these important and likely life-changing technologies. This makes more sense when it is considered that most exoskeleton suits currently in development need to be adjusted and fine-tuned for the user to be able to use it in addition adjust the exoskeletons movement settings before going on the task needed up ahead, meaning that there is different settings for climbing stairs, walking or bending down. In contrast, this new controls system is able to adjust for these events and the users' proportions on the fly, “Their system uses a kind of artificial intelligence called deep learning to autonomously adjust how the exoskeleton provides assistance, and they've shown it works seamlessly to support walking, standing, and climbing stairs or ramps” meaning the exoskeleton is continuously improving the stability and effectiveness while also adjusting to changes of movement much faster than traditional methods. The ability to adjust to the users' needs and to accurately predict movement patterns has held exoskeletons back into the science fiction realm, but because of this monumental change that could change into the very near future. Currently, there are is a small amount of companies working on exoskeleton suits, these suits are not only for rehabilitation or recovery of a damaged human, but also to augment and improve one’s strength or abilities as with the case of Lockheed Martin’s combat assistance leg support system. The article can be found here and the journal is within its references  https://lnkd.in/d4ipg-Wi