The Policing Lab, in collaboration with the Miami-Dade Sheriff's Office, has introduced the PUG™ (Police Unmanned Ground) Patrol Partner—an autonomous ground vehicle designed to support continuous patrol operations. The system provides 24/7 monitoring capabilities, enabling officers to focus on community engagement and specialized tasks.

The vehicle is equipped with Fotokite’s tethered RTB (Return-to-Base) system, which supports real-time situational awareness and autonomous deployment. This launch represents an important step in evaluating the use of autonomous ground and aerial technologies within public safety environments to enhance operational efficiency and data-driven response.

Calvin-40: Autonomous Humanoid for Industrial Applications

In collaboration with Renault Group, Wandercraft has developed Calvin-40, a mobile, voice-controlled humanoid robot designed to assist with physically demanding and ergonomically challenging tasks in manufacturing environments. Built within 40 days, Calvin-40 represents Wandercraft’s first industrial humanoid platform—integrating mobility, perception, and voice interaction to support human operators in repetitive or non-ergonomic work.

Revopoint has introduced three new 3D scanners — INSPIRE 2, MetroY, and MetroY Pro — combining precision and portability for various industries. Paired with free Revo Metro software, they deliver a smooth scan-to-CAD workflow. This article covers their features, specifications, and real-world uses in design, manufacturing, media, and preservation.

Learn more: https://wevlv.co/49kLwVE

Electroimpact NDI Cell Accuracy Test

The Non-Destructive Inspection (NDI) cell is subjected to rigid body motion accuracy testing prior to any customer part inspection. The Electroimpact metrology team conducts synchronized tracker measurements to validate system precision and assess the overall performance of the robotic inspection system. This closed-loop process, supported by high-resolution feedback, ensures repeatable sub-millimeter accuracy, consistent inspection paths, and reliable results for both first-article and production components.

Video source: Electroimpact

Fourier N1: Dynamic Humanoid Motion Demonstration

The Fourier N1 humanoid robot demonstrates advanced locomotion capabilities, including cartwheels and full 360° rotations, highlighting progress in dynamic control and balance. The system integrates a versatile mechanical structure with precise motion algorithms to replicate human-like movement for research and potential industrial applications.

Ascent AeroSystems SPIRIT: Reliable UAV Platform for Mission Operations

Ascent AeroSystems’ SPIRIT UAV, a dual-use system cleared under the Blue UAS program, is built for reliability in demanding operational environments. Its rugged, all-weather design and modular open architecture support mission-critical applications in both defense and civilian contexts.

In collaboration with Areté, the SPIRIT platform integrates the AIMS remote triage sensor, enabling rapid situational awareness and enhanced response capabilities in emergency and search-and-rescue operations.

AgileX Data Service Solution for Embodied AI

Agilex Robotics has introduced the AgileX Data Service Solution, a unified digital platform designed to support data-driven development across its embodied AI systems, including the Dual-arm Cobot Magic, desktop Cobot Spark, and Pika grippers.

The platform provides end-to-end data management—covering collection, cleaning, annotation, and deployment—while offering access to standard and customizable datasets. It also supports compatibility with major model frameworks such as ACT, RDT, and Diffusion Policy. By consolidating infrastructure and data workflows, the system aims to facilitate efficient research and development in embodied AI.

The MicroVision Tri-Lidar Architecture is designed to reduce system complexity, enable seamless integration, and provide scalable cost efficiency within a unified platform.

Rather than relying on a single lidar unit to perform all sensing functions, the Tri-Lidar configuration employs multiple specialized sensors operating in coordination. Typically, two short-range units are dedicated to near-field perception, while a long-range unit supports detection at highway speeds.

Developed by Google DeepMind, the Gemini Robotics On-Device VLA model enables general-purpose robots to understand natural language instructions and perform complex, dexterous tasks with objects they have not previously encountered—all without requiring a network connection.

By operating entirely on-device, the model advances the autonomy and adaptability of humanoid systems. This technology marks an important step toward intelligent, self-sufficient robots, as demonstrated on the Apollo platform.

Video source: Apptronik

The future of combat equipment is getting a major upgrade—thanks to cutting-edge printed electronics built in by Voltera and its tabletop printing system, the NOVA printing platform.

Using this benchtop materials-dispensing system, electronics like sensors, antennas and displays can be printed directly onto flexible textiles and gear—no bulky electronics modules required.

With Voltera’s open-platform printer, defense developers can rapidly prototype and build smart wearables that monitor health, track motion, and embed communication tech—all while keeping the gear light, rugged, and ready for action.

Read more: https://www.wevolver.com/article/enhancing-combat-equipment-with-printed-sensors-antennas-displays

Lift Off: When Drones Learn to Work as One

A new breakthrough in multi-drone cooperation shows how autonomous aerial robots can seamlessly coordinate to transport heavy, cable-suspended loads — adjusting in real time to wind, movement, and shifting weight.

By combining advanced control algorithms and real-time feedback, these drones move like a synchronized team, performing complex tasks that once required human pilots. From disaster relief and construction to aerial logistics and precision delivery, this innovation is reshaping what’s possible in the skies.

The future of robotics isn’t just autonomous — it’s collaborative.

Video Credit: Sihao Sun
Researchers: Sihao Sun, Xuerui Wang, Dario Sanalitro, Antonio Franchi, Marco Tognon, and Javier Alonso-Mora

Fans maintain airflow, temperature stability, and system reliability, but standard models fail quickly in harsh environments. These demanding applications require purpose-engineered solutions. Orion Fans designs and manufactures custom fans for extreme conditions. This article examines the challenges, engineering approach, and results behind building fans for an air purification system operating continuously under high ozone and UV exposure.

Learn more: https://wevlv.co/3LQMHlY

Unitree officially released its full-body teleoperation platform.

Users can remotely control their own robots in real time to capture full-body motion and sensor data.

Sunflower Labs has developed an autonomous, AI-powered drone security system known as the Beehive platform. The system integrates a self-charging drone, an intelligent base station, and cloud-based analytics to provide scalable, real-time monitoring for commercial, industrial, and residential properties.

It has been deployed globally in collaboration with partners such as Alarm.com, Alert360, Securion, 10 Federal Companies, and the Swiss Federal Railways.

Fans keep airflow stable and systems reliable across different environments, but standard materials break down quickly under harsh conditions. These applications need fans engineered to withstand extreme exposure and maintain consistent performance. This article looks at the challenges, engineering approach, and results of creating fans for an air purification system exposed to continuous ozone and intense UV.

Learn more: https://wevlv.co/3LQMHlY

NEO is a humanoid robot designed to assist with household tasks and provide personalized support.

It can perform routine chores based on assigned instructions or scheduled tasks, helping maintain a cleaner home with minimal user intervention.

Video source: 1X

Researchers at the RAI Institute have built a low-impedance platform to study dynamic robot manipulation. In this demo, robots play a game of catch and participate in batting practice, both with each other and with skilled humans.

The robots are capable of throwing 70mph [112 kph], approaching the speed of a strong high school pitcher. The robots can catch and bat at short distances (23 feet [7 m]) requiring quick reaction times to catch balls thrown at up to 41 mph [66kph] and hit balls pitched at up to 30 mph [48kph].

Credit: RAI Institute

Blue Orgin's fully reusable booster New Glenn comes in for the booster touchdown.

Video Credit: Blue Origin

Transform engineering data from a scattered, hard-to-use resource into a powerful foundation for innovation. This guide, published by Keysight Design Engineering Software, outlines a clear, five-level maturity model that guides teams from chaotic data practices to fully AI-ready design environments. By standardizing terminology, introducing structured schemas, and improving traceability, organizations can streamline collaboration and significantly reduce costly design re-spins.

If your engineering workflows feel cluttered or your data isn’t delivering value, this guide offers a straightforward, actionable path to achieving clarity, consistency, and long-term competitive advantage.

Learn more: https://wevlv.co/3X4VwuZ

Teleoperated and Learning-Based Robotic Hand for Dexterous Manipulation

The video presents a robotic system that integrates teleoperation with machine learning to enable controlled, precise object manipulation. A Rokoko Smart Glove is used to operate the robotic hand and arm in real time, while motion data captured during these interactions supports subsequent imitation-learning tasks. The system is trained to handle cubes of different sizes and colors and to place them into corresponding trays.

Reinforcement learning is applied to further improve in-hand manipulation capabilities, allowing the robot to adapt to objects with varying properties. With input from pressure and motion sensors, the robotic hand can interact with items of different densities, including soft or fragile materials.

Overall, the work illustrates how combining teleoperation, imitation learning, and reinforcement learning can contribute to more capable and flexible robotic manipulation systems.

Video source: Riccardo Bianco (YouTube)

How can engineers tackle EMI, the hidden obstacle in today’s compact, high-speed electronics?

This article, published in collaboration with Murata, delves into ultra-thin inductors and high-current ferrite beads, demonstrating how they provide superior noise suppression, enhance power delivery efficiency, and improve system reliability in ultra-dense, high-frequency designs. Discover how smart component choices and strategic architectures are essential for ensuring your next-generation electronics are both compliant and performance-ready.

Access the article here: https://wevlv.co/4p7Qs5a