➀ Unitree Robotics showcased its humanoid G1 robots at the China Media Group World Robot Competition in Hangzhou, where they engaged in boxing matches;

➁ The G1 model stands 4'3", weighs 35kg, offers a 2-hour battery life, and costs over $16k;

➂ Founded in 2016 by Wang Xingxing, Unitree also produces affordable robotic dogs like the XDog, priced at $1,600.

➀ Nathan Richardson, a UKESF Scholar and student at the University of Surrey, has achieved notable accomplishments in robotics and electronics.

➁ His final year project involved creating a robotic submersible for ecological research, using a Raspberry Pi and node.js for control.

➂ During his placement year at Infineon Technologies, he worked as a verification engineer, developing tests for a register block within the system.

➀ Texas Instruments (TI) has developed what it claims to be the 'first fully functional isolated modulators';

➁ These modulators, AMC0106M05, AMC0136, and AMC0106M25, offer increased precision and resolution for phase current sensing and DC voltage sensing;

➂ The modulators are designed to be compact, enabling more precise motor control in robotics designs.

➀ Texas Instruments (TI) has launched the industry's first functionally isolated modulators designed to enhance motor control in compact robotics.

➁ These modulators improve precision and resolution, with 12 to 14 effective number of bits (ENOB) for accurate current and voltage sensing, housed in a small leadless package.

➂ Suitable for various industries including automotive, medical, and aerospace, these modulators enable more precise and reliable operations in smaller form factors.

➀ A research team at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) has developed an e-skin that detects and tracks magnetic fields with high precision.

➁ The technology is designed to be light, transparent, and permeable, mimicking the human skin's interactions with the brain.

➂ The e-skin uses a magnetosensitive layer as a global sensor to localize magnetic signals and is capable of reconstructing signals similar to how the human brain processes touch.

➀ A research team led by the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) has developed an electronic skin capable of sensing and tracking magnetic fields with a single global sensor. This technology could enable new applications in virtual reality and underwater smartphone interaction.

➁ The e-skin is lightweight, transparent, and breathable, imitating the interaction between real skin and the brain. It uses a magnetosensitive functional layer as a global sensor surface, improving energy efficiency and mimicking real skin's functionality.

➂ The technology uses tomography, a method also used in medical MRI or CT scans, to reconstruct the position of signals, making it suitable for applications in robotics and human-machine interaction.

➀ Researchers at NYU Abu Dhabi have developed an innovative 'off-the-jaw' sensing system that integrates force and angle sensors into laparoscopic handles to provide real-time feedback on gripping forces, tissue thickness, and stiffness.

➁ This system enhances the safety and precision of minimally invasive surgery (MIS) by restoring tactile feedback, which is crucial for differentiating tissues and applying appropriate force.

➂ The technology has potential applications beyond laparoscopic surgery, including telemedicine, endoscopy, and robotic-assisted surgery, with early trials showing a 30% improvement in surgical task efficiency.

➀ Researchers at Northeastern University have developed a hybrid robot that combines the strengths of rigid and soft robots, enabling it to handle delicate tasks like screwing in a lightbulb while maintaining necessary torque.

➁ This hybrid robot uses a novel material inspired by constant-velocity (CV) joints, which allows it to be flexible, extendable, and compliant while still applying force effectively.

➂ The innovation bridges the gap between traditional rigid and soft robotics, offering a new approach to robotic design that emphasizes both safety and functionality.

➀ This article introduces a ROS-based robot body controller reference design developed by Renesas Electronics Corporation. It provides engineers with a reliable solution for controlling multiple servos in robotic applications.

➁ The design features an RA6M5 microcontroller unit (MCU) with an Arm® Cortex®-M33 processor, enabling real-time control and efficient communication with connected devices.

➂ The reference design supports various communication interfaces such as Ethernet, USB, and Wi-Fi-based Pub/Sub, allowing seamless integration with ROS nodes, making it suitable for applications in logistics, defense, healthcare, and agriculture.

➀ The market prospects for humanoid robots have improved with Jensen Huang's introduction of an open source foundational model called Isaac GR00T N1.

➁ TrendForce projects the total market value of the humanoid robot industry to reach nearly $4 billion by 2028.

➂ The Nvidia model, featuring comprehensive datasets and adaptable training capabilities, is expected to accelerate market adoption by speeding up AI model training and reducing time-to-market.

➀ Professor Hendrik Wöhrle of the University Duisburg-Essen and Fraunhofer Institute for Microelectronic Circuits and Systems is working to make AI in medicine more efficient, compact, fast, and safe.

➁ His research group combines the expertise of both institutions to develop new hardware and software architectures for embedded systems using AI.

➂ The goal is to create systems that are particularly efficient for AI, machine learning, and robotics, aiming for greater performance, compactness, speed, and energy efficiency, suitable for use in implants or portable devices.

➀ Students from the 11th grade and above participated in the Winter School at Technische Hochschule Würzburg-Schweinfurt (THWS) to explore the fields of mathematics and robotics.

➁ The event included building and programming robots, learning about collaborative robots, and exploring fractals.

➂ The program aimed to show students the diverse aspects of robotics, including mechanics, electronics, and programming.

➀ MIT's CSAIL has developed Xstrings, a new 3D printing technique that simplifies the creation of cable-driven devices by embedding cables directly into 3D-printed structures, reducing production time by 40%.
➁ The system allows users to specify motion types such as bending, twisting, or coiling through a digital blueprint, enabling seamless design and fabrication in a single step.
➂ Demonstrated applications include robotic fingers, interactive sculptures, and gripping tentacles, showcasing potential in robotics, art, and wearable tech.

➀ Engineers have developed a hopping robot inspired by squirrels' agility, aiming to replicate their ability to parkour through branches and land precisely.

➁ Researchers combined biological studies with robotics to analyze squirrels' jumping techniques, focusing on the forces applied during landings and the use of torque for balance.

➂ Insights from these studies were used to improve the robot's landing mechanics, potentially leading to enhanced capabilities such as navigating complex flat surfaces beyond just narrow perches.

➀ DigiKey and SparkFun are collaborating to bring the Experiential Robotics Platform (XRP) kits to students;

➁ The initiative aims to lower the barriers to learning robotics, engineering, software development, and automation;

➂ The XRP kit is a steppingstone for future innovators in the electronics industry.

➀ Researchers at the University of Edinburgh have developed an AI-powered robot capable of preparing coffee in a busy kitchen setting. This innovation combines advanced AI, sensitive sensors, and precise motor skills to navigate complex environments more effectively than traditional robots.

➁ The new system features a robotic arm with seven movable joints that can interpret verbal instructions, assess its surroundings, and perform tasks like finding a mug, opening drawers, and mixing coffee with water.

➂ The robot's adaptive technology ensures smooth operation even when faced with unexpected changes, such as objects being moved during task execution. This advancement highlights the potential for robots with advanced intelligence to take on more complex human tasks.

➀ The THWS 'SWOT' team won the German Open in the RoboCup@Work competition, showcasing their skills in autonomous transportation systems and smart factory simulation.

➁ The team overcame various challenges, including object identification and precise manipulation, to secure their victory.

➂ Preparations are now underway for the team to defend their title at the World Championship in Brazil next July.

➀ Researchers at Technical University of Munich (TUM) have developed an evolving encyclopedia called the 'Tree of Robots' to classify and compare robotic systems.

➁ The encyclopedia focuses on defining specialized capabilities of robots, particularly their tactile fitness and motion fitness, which are crucial for real-world applications.

➂ The 'Tree of Robots' aims to support future research by providing a comprehensive resource for identifying suitable systems for algorithm testing and expanding with new metrics and robotic systems.

➀ Google DeepMind unveiled two new AI models, Gemini Robotics and Gemini Robotics-ER, to enhance robotic intelligence in various markets.

➁ Gemini Robotics is Google's most advanced vision language action model, enabling robots to be more generalized, interactive, and dexterous.

➂ Gemini Robotics-ER uses embodied reasoning to mimic human intuitive understanding, allowing robots to make educated guesses about unfamiliar objects.