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Interesting Engineering

US firm to scale laser-based nuclear fusion ‘breakthrough’ with new partnership Military Archives - Interesting Engineering World’s first non-nuclear lead-cooled reactor to generate electricity begins installation US scientists devise new process to turn sewage sludge into 99% pure natural gas US firm unveils submarine-hunting drone with 9,200-mile-range, 35 mph top speed Military Archives - Interesting Engineering Supercomputer finds lithium-titanium tweak to boost sodium-ion batteries for grids Lockheed Martin demonstrates vertical launch missile system for mobile drone defense China’s 1116 MWe Taipingling Unit 1 reactor goes online, set to generate 9bn kWh yearly ChatGPT Images 2.0 update combines reasoning, research, and design with 2K output US Navy tests plug-and-play laser system on USS Bush carrier, downs drones at sea China’s CATL reveals 621-mile EV battery, under-7-minute charging to challenge BYD US uses world’s first exascale supercomputer to model supernovae, fusion reactors AI and Robotics Archives - Interesting Engineering First-in-human study confirms safety of graphene-based brain interface Tesla’s Optimus humanoid robot greets runners, poses for photos at Boston Marathon Interlocking materials offer high strength and flexibility for robotics, infrastructure US redeploys 100,000-ton nuclear-powered aircraft carrier in Red Sea after repairs US scientists unveil concept for ‘world’s first neutrino laser’ to unlock breakthroughs New military tech can maintain communication in contested electronic warfare environments Got a dark personality? Psychologists can help you choose your career wisely Humidity boosts performance of 3D-printed nanogenerator instead of degrading it China demonstrates microwave beam that recharges drones in flight, continues power delivery Scientists run compact free-electron laser for eight hours, cracks FEL stability problem China’s PLA considers to use minelaying underwater drones to enforce Taiwan blockade: Report 1-ton sharks may struggle for survival in waters exceeding 62.6°F, study suggests US firm’s thorium nuclear fuel bundles move to manufacturing for commercial reactors Tesla hits 0% charge in remote Chilean desert as YouTuber uses hood-mounted solar Humanoid robot surpasses human world record in Beijing half-marathon, clocking 50:26 mins New method extracts maximum work from unknown quantum states using symmetry tricks
Video: Boston Dynamics’ Spot robot dog gets AI power for ...
Jijo Malayil · 2026-04-27 · via Interesting Engineering

Electro-optical and thermal cameras with 20x zoom enable real-time monitoring in low light, fog, with AI detecting threats.

DroneDog delivers real-time awareness, automated patrols, and rapid response.

DroneDog delivers real-time awareness, automated patrols, and rapid response.Asylon Robotics

Robotic security systems are moving closer to real-world deployment across industrial sites. DroneDog, developed by US-based Asylon in collaboration with Boston Dynamics, combines the latter’s Spot with the former’s modular security system, PupPack, to offer a seamless surveillance experience.

Along with human monitoring, the system is designed to carry out continuous site patrols, operating seven days a week.

According to the companies, it can detect security breaches, monitor activity, and track assets, aiming to reduce theft and vandalism without interruptions caused by human absence.

Recently, China displayed robot dogs that used a shared “brain,” coordinating like a wolf pack to perform complex urban tasks, signaling advanced autonomous warfare.

DroneDog: AI-powered security patrol

Asylon has outlined a range of features for its DroneDog security system, combining mobility, sensing, and networked operations. The platform includes all-terrain mobility, allowing it to climb stairs, traverse uneven terrain, and operate in confined or complex environments where fixed systems have limited reach.

The modified Spot robot is equipped with secure communication systems that use LTE and mesh networking, along with AES-256 encryption and redundant uplinks. This setup is designed to ensure continuous and protected transmission of video and telemetry data during operations, reports Electrek.

When battery levels drop, the robot autonomously returns to its docking station, known as the “DogHouse,” where it recharges. The rugged, high-impact enclosure is designed to shield the system from environmental conditions while ensuring continuous operational readiness.

For surveillance, the system integrates high-resolution electro-optical and thermal cameras, supported by a 20x optical zoom. These sensors enable real-time monitoring across a wide range of conditions, including low light, fog, and obstructed environments, while onboard AI and machine-learning classifiers help identify and flag potential threats.

According to Asylon, DroneDog also supports automated patrolling, either through pre-programmed routes or on-demand deployment in response to alarms or incidents. The system is further enhanced by cloud connectivity and an expandable payload port, allowing additional hardware or sensors to be integrated based on operational needs.

Human oversight remains part of the workflow through integration with Robotic Security Operations Center, where remote analysts monitor activity, verify alerts, and direct responses when required, ensuring continuous supervision alongside autonomous functions, reports Electrek.

Smart security networks

Robotic security is moving from concept to real-world deployment, with robots, drones, and AI now in active use. According to Asylon, the focus has shifted from adoption to effective integration, enhancing existing systems while improving efficiency and reducing friction.

Asylon positions its approach around software rather than hardware alone. Its platform, DroneIQ, is designed to connect robotic assets, fixed surveillance systems, and human operators within a unified environment. Instead of functioning as standalone tools, robots become part of a coordinated security network.

Modern security environments rely on multiple systems, including cameras, alarms, and access control. While robots add mobility and extend visibility, many deployments struggle due to fragmented data and disconnected workflows. DroneIQ addresses this by acting as a central coordination layer or as a data bridge that integrates with existing platforms, enabling consistent information flow and decision-making.

The platform uses AI and machine learning trained on hundreds of thousands of missions to improve threat detection and response over time. It supports automated patrols, real-time video analysis, and autonomous alarm response, while maintaining human oversight through remote operations or in-house teams.

Depending on estimates, the DroneDog and DogHouse system—built on Spot’s $74,500 base price—is expected to cost well over $150,000, with additional expenses for human monitoring through payroll or subscription services, reports Electrek.

The Blueprint

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Jijo is an automotive and business journalist based in India. Armed with a BA in History (Honors) from St. Stephen's College, Delhi University, and a PG diploma in Journalism from the Indian Institute of Mass Communication, Delhi, he has worked for news agencies, national newspapers, and automotive magazines. In his spare time, he likes to go off-roading, engage in political discourse, travel, and teach languages.