➀ Chinese researchers developed a magnetic sensor-equipped capsule robot for non-invasive gut fluid sampling, validated in pig intestines;

➁ The capsule combines passive mechanics, external magnetic actuation, and real-time sensor tracking for precise positioning and power-free operation;

➂ It collects samples through spring-driven suction and seals them internally, enabling retrieval post-excretion for diagnostic analysis.

➀ The adoption of robotics in manufacturing demands precision timing, enabled by MEMS oscillators, to achieve sub-microsecond synchronization for tasks like defect detection and collaborative operations；

➁ AI-driven machine vision and IoT systems rely on precise timing for real-time quality control and predictive maintenance, while MEMS technology ensures durability in harsh industrial environments；

➂ Functional safety in human-robot interaction and advanced applications like autonomous vehicles highlights the critical role of timing devices, with SiTime’s MEMS solutions offering robust, temperature-resistant options for industrial automation.

➀ PI introduces a Nanopositioning & Micropositioning Essentials portfolio, offering fast delivery and volume discounts for OEMs in research, automation, and manufacturing;

➁ Key products include hexapods, precision actuators, and motorized stages for applications like microscopy, metrology, and laser processing;

➂ Highlights PI's expertise in high-precision motion control for industries such as semiconductors, photonics, and robotics, backed by technical support and scalable solutions.

➀ Researchers developed millimeter-sized robots powered by cavitation (bubble collapse energy), achieving jumps up to 1.5 meters high at 12+ m/s speeds using lasers or ultrasound;

➀ The robots, made of titanium dioxide and other materials, enable precise control for applications like non-invasive drug delivery and micro-assembly;

➂ While still experimental, the technology shows promise for industrial inspections and confined-space repairs by converting destructive cavitation into controllable propulsion.

➀ Researchers from UCL, Google DeepMind, and Intrinsic developed RoboBallet, an AI system enabling rapid coordination of multiple industrial robots through graph neural networks and reinforcement learning;

➁ The system generates movement plans in seconds, supports up to 40 tasks with eight robotic arms, and adapts to unseen factory layouts for applications in manufacturing and construction;

➂ Future improvements aim to expand capabilities to sequential operations and heterogeneous robot teams while maintaining real-time adaptability.

➀ DigiKey releases Season 5 of its Factory Tomorrow video series titled 'Behind the Robot,' focusing on industrial automation technologies such as robotic cells, intelligent sensors, and integrated systems;

➁ The series explores cloud connectivity, predictive diagnostics, and the impact of automation on workforce transformation, featuring experts from partners Eaton and SICK;

➂ The Factory Tomorrow series, initiated in 2021, highlights evolving automation infrastructure and its role in advanced manufacturing environments.

➀ Researchers at Pusan National University developed a monolithic flat-pack design using carbon fiber and aramid cloth with rigid and flexible regions for origami-like robots;

➀ The technique employs multi-resin deposition, achieving 6.95GPa stiffness in rigid sections and 0.66GPa flexibility in hinges, enabling complex motions;

➂ Potential applications include transformable robots, spacecraft solar panels, and foldable electronics substrates.

➀ Seoul National University of Science and Technology developed a bio-inspired gripper for underwater robots, mimicking starfish tube feet using a hydrogel-rigid stem structure;

➁ The gripper achieves strong underwater adhesion (up to 65kPa) via vacuum mechanics during detachment, with release mechanisms via mechanical angling or fluid pressure;

➂ Potential applications include micro-LED chip handling, biomedical devices, and surgical tools adhering to wet surfaces.

➀ Infineon and Nvidia collaborate to accelerate humanoid robot development by combining Infineon's MCUs, sensors, GaN transistors, and Marvell's Automotive Ethernet technology with Nvidia's Jetson Thor AI modules;

➁ The partnership focuses on precise motor control, real-time AI processing, and secure connectivity for industrial, logistics, and healthcare applications;

➂ Key components include Infineon's PSOC Control C3 MCUs for field-oriented-control algorithms and NVIDIA Holoscan Sensor Bridge integration.

➀ Prophesee launched the GenX320 Starter Kit for Raspberry Pi 5, integrating event-based neuromorphic vision to enable real-time applications across drones, robotics, and industrial automation;

➁ The sensor captures pixel-level brightness changes ('events') instead of full-frame images, achieving microsecond response times, ultra-low power consumption (<50 mW), and reduced data processing;

➂ Developers gain access to open-source tools (Python/C++ APIs), a 320×320 resolution sensor with 140 dB dynamic range, and resources via Prophesee's Knowledge Center to accelerate edge computing solutions.

➀ The NVIDIA Jetson AGX Thor Developer Kit brings Blackwell architecture to robotics with 25x AI performance improvement over previous gen;

➁ Features 4x 25GbE via QSFP28, advanced cooling, and 1TB SSD with dedicated heatsink, but omits PCIe slot from prior models;

➂ Targets robotics developers with $3,499 kit for prototyping before deploying module-based systems.

➀ Researchers at Chemnitz University of Technology developed millimeter-sized Smartlet microrobots with integrated electronics, sensors, and optocommunication, enabling autonomous movement and coordination in aqueous environments;

➀ The microrobots use an origami-inspired manufacturing approach to self-fold into 3D structures, powered by photovoltaics and controlled by embedded silicon chiplets, achieving decentralized control without external systems;

➀ Potential applications include environmental monitoring, medical diagnostics, and adaptive robotic systems, with future goals to expand sensory capabilities and evolve toward collective, organism-like behaviors.

➀ A European research team, including scientists from DFKI, proposed a four-phase robotic mission concept in Science Robotics to explore lunar lava tubes using autonomous robots;

➁ The mission involves cooperative mapping, sensor deployment, abseiling a rover into caves, and 3D modeling, successfully tested on Lanzarote;

➂ The results highlight the feasibility of heterogeneous robot collaboration for future planetary exploration, developed under the EU-funded CoRob-X project.

① A European research team, including DFKI, proposed a mission concept using three autonomous robots to cooperatively explore and map lunar lava tubes, validated through field tests on Lanzarote;

② The four-phase mission involved skylight mapping, sensor deployment, rover rappelling, and autonomous cave exploration, achieving detailed 3D modeling using specialized rovers like SherpaTT and Coyote III;

③ The study demonstrates the feasibility of collaborative robotic systems for future extraterrestrial missions, showcasing their potential to operate in extreme environments like the Moon or Mars.

➀ SKEYEBOTS offers a Hardware Engineer internship in Kochi, focusing on autonomous drone system design;

➁ Responsibilities include electronics prototyping, firmware development using Embedded C, and 3D modeling/CFD simulations;

➂ Candidates gain mentorship from industry experts and potential full-time opportunities in cutting-edge robotics applications.

➀ Researchers at POSTECH developed a paper-thin robotic actuator inspired by human muscle protein myosin, enabling precise multi-axis movements through pneumatic control;

➁ The actuator features layered air chambers and pneumatic pathways, achieving six-directional motion (including rotation) even when bent;

➂ Potential applications include surgical robots, industrial inspection in confined spaces, and home cleaning systems, with demonstrated success in pipeline maintenance scenarios.

➀ The CERI team from THWS secured second place in the @Work-League at RoboCup 2025, facing logistical challenges including complex robot transportation and last-minute technical adjustments;

➁ The competition tested autonomous robotics in industrial tasks, with SWOT excelling in precision and object recognition despite transport-induced electrical issues;

➂ German teams dominated the event, and Nuremberg was announced as the 2027 host, highlighting global collaboration and enthusiasm among participants and spectators.

➀ HTWK Leipzig's Boosted Robots team won the RoboCup 2025 Humanoid League – Kid Size world championship with an 11:0 victory over China's TH-MOS;

➁ The team utilized new Booster K1 humanoid robots from Booster Robotics, enhancing computing power and AI capabilities for the competition;

➂ HTWK's innovative software adaptation and collaboration with Booster Robotics highlight advancements in AI and robotics, reinforcing the university's leadership in applied research.

➀ Team RoboPig from the Technical University of Würzburg-Schweinfurt (THWS) secured third place at the 2025 Robothon competition in Munich, continuing its success streak since 2021;

➁ The competition challenges teams to develop robots capable of disassembling e-waste, with tasks increasing in difficulty annually—this year focusing on robots mimicking human-like logic and responsiveness;

➂ RoboPig redesigned its technical framework for broader usability and presented a phone diagnostic tool for recycling, praised by judges, as eight international teams tackled progressive challenges over several months.

➀ The AI Robot Safety & Performance Center at TUM MIRMI created a standardized testing system ("Tree of Robots") to evaluate robot sensitivity, safety, and performance, categorizing robots into classes like Industrial Robots and Cobots;

➁ The system uses 25 tactile metrics and radar charts to visually compare capabilities, enabling users to assess a robot’s suitability for tasks requiring precision, force, or human interaction;

➂ The framework aims to establish an industrial certification standard, supporting safer and more efficient robotic applications in healthcare, manufacturing, and mobility.