Researchers in Germany have unveiled a groundbreaking method of surveillance that utilizes standard WiFi signals to identify individuals. This innovative technique involves analyzing the way radio waves reflect off objects and people within a space, allowing scientists to recognize individuals without the need for them to carry a device or have their phones powered on. The study, which highlights the potential for advanced monitoring capabilities, raises significant questions about privacy and the implications of such technology in everyday environments. The findings were shared recently, showcasing the intersection of technology and personal privacy in an increasingly connected world.
Education & Research
Software & Algorithm Provider
Human-Machine Interaction
Perception & Vision
Original from ScienceDaily.com: Ordinary WiFi can now identify people with near perfect accuracy
Ordinary WiFi can now identify people with near perfect accuracy
RobotToday Initiative
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
New Quantum Hermite Transform Algorithm Enhances AI and Scientific Computing Potential
Researchers from the U.S. Department of Energy’s Brookhaven National Laboratory, Northeastern University, Google Quantum AI, and the University of Texas at Austin have introduced a new quantum computing algorithm called the quantum Hermite transform (QHT). This algorithm aims to broaden the scope of problems that future quantum computers can address, part...
AI and Robotics
Nous Research Secures New Funding Talks at $1.5 Billion Valuation for Hermes Agent
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AI Startups Venture
The Escalating AI Arms Race in Software Engineering Technical Interviews
The landscape of software engineering job interviews is rapidly evolving due to the increasing use of AI by both candidates and employers. Applicants are employing AI assistants to enhance their performance during remote technical interviews, while companies are countering with AI tools designed to detect such assistance. This dynamic creates a competitiv...
Hiring-trends Interviews Ai-bias
KISS Institute Launches BotBall to Enhance STEM Education with Student-Led Robotics
The KISS Institute for Practical Robotics (KIPR) has introduced BotBall, a robotics program designed to foster creativity and critical thinking among students. This initiative emphasizes student-led engineering, allowing participants from elementary to high school to engage in hands-on learning using a standardized kit. The program ensures a level playing...
Autonomous Mobile Robots (AMRs) Educational News
RoboDK Launches CAM Software to Reduce Robotic Machining Deployment Time by 40%
RoboDK has introduced its new CAM software, enabling robotic machining programs to be generated directly from CAD files. This innovation, showcased at the Automate Show, promises to reduce deployment time by up to 40%, allowing users to create toolpaths and collision-free motions without manual coding. The software aims to simplify the robotic machining p...
News Robot simulation Software
Physical AI Landscape: From Digital Intelligence to the Embodied Physical World
A comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.
Artificial Intelligence
InDro Robotics Introduces Axiom Humanoid Platform to Enhance Physical AI Research Accessibility
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NASA and Rice University Launch Open-Source Simulator for Space Robotics Research
Rice University and NASA have introduced the iMETRO Dynamic Simulation, the first open-source platform for developing robots for spacecraft and habitats. Unveiled at the 2026 IEEE International Conference on Robotics and Automation in Vienna, this simulator creates a digital twin of NASA's iMETRO facility, enabling global researchers to test intravehicula...
AI and Robotics
RoboDK Enhances Manufacturing with Digital Twin and OLP Software Features
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SpaceX's Starmind Plans 1 Million AI Satellites Amid Collision Risks
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IEEE Honors Robotics Pioneer Toshio Fukuda
Toshio Fukuda has been blazing trails for most of his career. He is considered to be one of the most prolific scholars in robotics, writing more than 2,000 research papers and authoring several books on the field. He’s an influential figure thanks to his pioneering work developing biomedical robotic systems, industrial robots, micro-nano robotics, mechatr...
Robotics Robots Ieee-member-news
What Makes AI Art Worth Collecting?
In May, an anonymous artist who goes by SHL0MS on X posted that he had used AI to generate an image inspired by Claude Monet and asked people to weigh in on how it missed the mark. More than 600 responses called out issues, saying the colors were off, the depth was all wrong, and that AI didn’t understand how light worked.SHL0MS then revealed that the ima...
Ai-art Generative-ai Digital-art
HERL (Human Engineering Research Lab)
United States
Joint University of Pittsburgh and US Department of Veterans Affairs laboratory conducting rehabilitation engineering research. Develops mobility devices, assistive technologies, and medical-grade products for people with disabilities.
Joanneum Research Assoc (AT)
Austria
Joanneum Research Institute for Robotics and Flexible Production conducts applied R&D in industrial robot systems, production automation and robot safety, offering feasibility analysis, consulting and testing in a robotics solution centre.
St Petersburg National Research U of ITMO
Russian leading research university (ITMO University) specializing in information technology, optical engineering, and photonics. Active research programs in AI, robotics, computer vision, and cyber-physical systems.
Green Hills Software
United States
Independent embedded software provider delivering RTOS, compilers, IDEs, and debuggers for safety- and security-critical systems. Serves automotive, avionics, defence, and industrial domains with certified real-time operating system platforms since 1982.
Scorpion Vision Software (UK)
Norwegian-based 2D and 3D industrial machine vision software platform (marketed under Tordivel AS). Offers sub-pixel and micron-level non-contact measurement, configurable inspection tools, and advanced calibration capabilities without programming.
Acquired Data Solutions, Inc.
United States
Provides systems engineering, embedded software development, automation integration, and cybersecurity services for government and commercial defense clients. Capabilities include OT/IT convergence, edge computing, and mission-critical system integration across a 28-year operational history.
Patten Studio
United States
Patten Studio is an interactive design studio based at MIT Media Lab roots, creating technology-driven art installations and experiential environments for brands and public spaces. Work involves sensing, embedded computing, and responsive physical interfaces, with peripheral relevance to human-machine interaction.
Shenzhen Macrotellect Technology (CN)
Macrotellect develops BrainLink EEG headsets and brainwave sensing devices for consumer and research applications. The company focuses on brain-computer interface technology enabling non-invasive neural signal acquisition and human-machine interaction.
Soul Machines
New Zealand
New Zealand AI company (now in receivership as of February 2026) that developed lifelike digital human avatars powered by large language models for customer service and enterprise deployment. Created Digital Workers and Workforce Connect platforms.
AU Centre for Robotic Vision (ACRV) (AU)
Australia
Australian research centre focused on robotic vision systems, operating under university auspices. Conducts research in computer vision and perception for autonomous robots. Website was inaccessible at time of scrape; inferred from name and known public profile as a vision-focused robotics institute.
Robotic Vision Technologies
US developer of Vision Factory, a 3D machine vision platform enabling industrial robots to locate parts in six degrees of freedom from a single camera image. Targets automated manufacturing lines requiring high-speed, accurate part location without structured environments.
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