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

Brightpick AI robots now support fully automated warehouse operations, including unattended night shifts. With recent software and AI updates, the Autopicker system can autonomously manage picking, buffering, and sortation so orders are prepared for packing at the start of the next shift.

This capability allows facilities to extend operating hours without additional on-site labor, improving throughput and order processing times. Several customers, including The Feed, are already using the system for overnight operations and reporting improvements in efficiency and service levels.

This Converse boot was carved from a solid block of polystyrene using an industrial robot, with roughing, tool changes, and fine machining completed automatically. A process that typically takes days by hand can now be completed in hours with consistent accuracy and repeatable results.

This approach allows sculptors and makers to focus on creative finishing rather than manual foam removal and lengthy overnight work.

🎥 Video production and application by Artem SFX, a UK-based special effects and fabrication company.

Credits: CNC Robotics

In this webinar, hosted by Franka Robotics, Prof. Fei Chen, Head of the Collaborative and Versatile Robots Laboratory at The Chinese University of Hong Kong, will explore advanced bimanual manipulation and teleoperation techniques that are shaping the future of intelligent, human-like robots in this expert-led robotics session.

Register: https://wevlv.co/lp_social_direct

Automated Coating Solution for FPSO | Coating 30,000 sqm with Minimal Overspray

In collaboration with Denholm Industrial Services, Qlayers completed the first simultaneous deployment of two 10Q robotic coating systems.

The robots coated 30,000 sqm of holding primer as part of a larger 72,000+ sqm blasting and coating project on an FPSO asset, achieving the work with virtually no overspray.

Motoman Seat Welding Automation – TranTek Automation Corporation

Yaskawa Motoman provides robotic arc welding systems designed to meet the requirements of modern manufacturing. These welding robots and integrated workcells aim to improve weld quality, reduce cycle times, and support a range of processes, including MIG, TIG, laser, and plasma welding. The solutions are applicable across multiple industries, such as automotive, aerospace, heavy equipment, and metal fabrication.

Robotic Hand with Tactile Sensing – Lightweight Design and Improved Grip Control

Contactile’s tactile sensing technology can also be integrated into anthropomorphic robotic hands.
Enhanced tactile data supports more precise grip control and facilitates more efficient training processes.

MO-Series Aerial Robot

This system integrates a soft robotic arm with an unmanned aerial vehicle to demonstrate a combined aerial manipulation application.

Video source: MIH Robot

Unitree H2 and G1 robots sparring test.

Tevel has collaborated with Compact di Cma Carpenterie Metalliche Anaunia to advance robotic apple harvesting. The system is designed to improve harvesting consistency and operational efficiency while accommodating both narrow and wide orchard layouts.

Key Features:
- Suitable for orchard rows starting at 2.10 meters
- Autonomous operation with an electric hybrid drive system
- Retrofit options for existing platforms, including support for a pass-through bin workflow

Knightscope K7 Autonomous Security Robot

The K7 is designed to extend Knightscope’s security coverage into environments ranging from paved areas to light off-road terrain, enabling autonomous patrols in locations that require broader perimeter monitoring.

The robot is AI-enabled, fully electric, and built for continuous 24/7 operation. Its functions include deterrence, detection, and reporting, providing enhanced visibility and situational awareness for security teams.

Ever seen a robot catwalk?

This overview introduces the SolarCleano B1A, an autonomous system for cleaning utility-scale solar installations. The platform uses LiDAR-based sensing to enable automated operation and adapt to variations in panel height, tilt, and terrain.

The B1A is available in multiple configurations to support different solar panel row layouts and includes a self-adjusting brush with a working width of up to 5 meters. It is designed to operate in both dry and wet cleaning modes with minimal manual intervention.

Clone anthropomorphic hand with 27 degrees of freedom, human-level grip strength, speed, and artificial muscles.

Video Credit: Clone Robotics