IEEE’s Post

A study conducted by researchers at the Jiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, presents the development of a highly sensitive and responsive mechanosensor. This novel device is inspired by the ultrasensitive trigger hairs found in Venus flytraps, known for their rapid response to external stimuli. The study was published in the latest issue of Cyborg and Bionic Systems. https://lnkd.in/dxCPwaie

🔓 Welcome to read the paper "#ObservedControl of #Magnetic Continuum Devices" in Robotics MDPI, by Richard Pratt, Brooke E. Suesser, and Andrew Petruska from Colorado School of Mines. 👉Read more at: https://lnkd.in/g9M7av4Z MDPI

As more robots will definitely be around us in our daily lives, we need more of these studies. The study explores human stress responses during encounters with quadruped robots, utilizing physiological sensors to track heart and skin response. It reveals that participants generally experience increased stress when interacting with multiple robots or during robots’ navigation activities, compared to a single robot or search tasks. This research provides valuable insights into designing safer human-robot interactions by considering human physiological stress markers. https://lnkd.in/g-iZYwGY

Agility in legged robots that match humans and animals is not easily achievable. However, researchers at ETH Zürich and NVIDIA have developed a framework for training quadrupedal robots with locomotion skills for rapid navigation around an obstacle parkour course. This framework was trained in simulation and subsequently deployed on legged robots in the real world, demonstrating their ability to reach targets with speeds of up to 2 meters per second. The framework shows potential for robot navigation on unstructured terrain where time is vital, such as in search and rescue. The ability to perform elegant and nimble locomotion around complex obstacles with limited onboard computing makes agility even more challenging, but this framework could be a game-changer in the field of robotics. Read the research here: https://lnkd.in/e-4gy4p9

Meet Maxwell Hammond, a PhD student in Professor Venanzio Cichella's Cooperative Autonomous Systems Lab, whose recent work unveils a novel approach to maneuver soft continuum robots. Unlike their rigid counterparts, these robots exhibit flexibility akin to biological organisms, making them ideal for complex tasks like underwater exploration or precise medical procedures. However, steering them accurately has always posed a challenge due to their flexible nature. Max's work holds promise in revolutionizing delicate operations, be it navigating through the convoluted human anatomy for surgical interventions or exploring unreachable underwater terrains. By overcoming the hurdles in controlling soft robots, he brings us a step closer to a future where robots and humans can collaboratively interact within complex environments, expanding the horizons of what's achievable. Through his endeavor, Max has the potential to significantly impact both the field of robotics and our society at large. Read more about it at: https://lnkd.in/g7stY2Rx

📢 2nd paper published in the Special Issue "Intelligent Control of Dynamical Processes and Systems" 🔗 https://lnkd.in/gUKmdHqQ 📚 Advances in the Kinematics of Hexapod Robots: An Innovative Approach to Inverse Kinematics and Omnidirectional Movement 🔗 https://lnkd.in/ggR9Dwjb 👨🔬 Jose Angel Martinez Garnica et al. 🏫 Centro de Enseñanza Técnica Industrial Universidad de Guadalajara Tecnológico Nacional de México (TecNM) #Kinematics #Hexapod #Robots #Inverse #Omnidirectional #Movement Applied Sciences MDPI

Come and learn about our advances in hyperspectral imaging analysis for Agriculture, Food Safety and Defence applications. Link to our research group: https://lnkd.in/gd_Tx47G #hyperspectral #AI #machinedeeplearning

🌟 Faculty Spotlight: Edgar Lobaton 🌟 Discover the innovative work of Edgar Lobaton, a professor in the ECE Department! Dive into his cutting-edge research at the Advanced Robotics and Sensors (ARoS) Lab, where robotics, machine learning and sensor networks converge. 🚀 Explore topics like autonomous systems, human-robot interaction and advanced sensing solutions in our latest video! 👉 Don’t miss out—watch the full video on our YouTube channel and subscribe for more insights into the groundbreaking research at NC State ECE. https://engr.it/3XRzMmb #ThinkAndDo

A jet-powered humanoid robot! 🚁 The research team from Istituto Italiano di Tecnologia is pioneering the development of jet-powered humanoid robotics. Their latest project, iRonCub3, builds upon previous versions and incorporates advanced features such as improved sensors, electronics, and control systems. The complexity of this research involves managing extreme temperatures, integrating aerodynamics with neural networks, and combining high and low-bandwidth actuators. The team is currently testing iRonCub3 in a new flight and control area to achieve more effective hovering capabilities. Despite the challenges and unpredictable timelines, the researchers are optimistic about the potential of their innovative humanoid robot. What a time to be alive! Hovering robots? Congrats to Daniele Pucci & the team for pushing the limits! 🦾 P.S. A flying humanoid before GTA6! ~~~ ♻️ Repost to help 1 robot find a new workplace. 📬 Subscribe to my newsletter to never confuse a robot and a cobot: https://lnkd.in/dzVGBKSc

Which inertia do you have to use to predict the outcome of an impact for a torque-controlled robot with flexible joints? The answer to this question has implications for impact-aware robot control as well as safety in physical human-robot interaction (pHRI). I started looking at this problem with Vincent Padois at UPMC in Paris in 2017 (now he is at INRIA Bordeaux). We've managed to experimentally validate that fully rigid robot models combined with nonsmooth impact laws provide useful prediction, as long as you correct the motor inertia with the torque-control gains. This work was was conducted in collaboration with Franka Emika (now Franka Robotics) in the context of the I.AM. H2020 Project . The work has been just published in IEEE R-AL. You can find the link below. #robotics #impactawarerobotics #tueindhoven #eindhoven