Abstract--Recent advances in robotics have enabled the widespread deployment of autonomous robotic systems in complex operational environments, presenting both unprecedented opportunities and significant security problems. Traditional shepherding approaches based on fixed formations are often ineffective or risky in urban and obstacle-rich scenarios, especially when facing adversarial agents with unknown and adaptive behaviors. This paper addresses this challenge as an extended herding problem, where defensive robotic systems must safely guide adversarial agents with unknown strategies away from protected areas and into predetermined safe regions, while maintaining collision-free navigation in dynamic environments. We propose a hierarchical hybrid framework based on reach-avoid game theory and local motion planning, incorporating a virtual containment boundary and event-triggered pursuit mechanisms to enable scalable and robust multi-agent coordination. Simulation results demonstrate that the proposed approach achieves safe and efficient guidance of adversarial agents to designated regions.

You don't consider yourself the forgetful type, yet somehow you can't seem to find your smartphone on a daily basis. It's not unusual to misplace your car keys or reading glasses (which are on your head). And wasn't your wallet on the kitchen counter a moment ago? OK, so maybe you've had a lot on your mind, these days. The good news, however, is technology can help you find your stuff.

With a few solid surveillance cameras in its stable, SpotCam's latest offerings look to expand the idea of home monitoring by not only monitoring the security of your house when you're away, but also its comfort levels when you're home. The indoor SpotCam Sense ($150) and indoor/outdoor SpotCam Sense Pro ($190) are outfitted with all the surveillance features of a DIY home security camera along with a range of environmental sensors for tracking things like temperature and lighting. Updated October 22, 2018 to add our take on the new SpotCam Cloud Video AI service, which--for a hefty subscription fee--brings advanced AI video analytics to the SpotCam Sense Pro and other SpotCam cameras. The service detects and alerts you to six types of events, each of which must be purchased separately (free 7-day trials are available for each if you own a SpotCam and want to evaluate the service). Missing Object enables you to cover an object within the camera's field of view with an adjustable bounding box.

With construction costs that could reach $21 billion, President Donald Trump's "big beautiful wall" along the U.S.-Mexico border has enticed scores of construction firms and contractors to file proposals to get a piece of that business. Quanergy, a Silicon Valley startup that makes laser LiDAR sensors and a rising star in the world of automated car technology is one of the more curious applicants. Its interest in the Customs and Border Protection project was reported first by Axios. The Sunnyvale, California-based company registered an "other border wall" proposal, but the long vendors list doesn't detail Quanergy's idea. That "other" category is for any wall proposal that doesn't use concrete and that can be shown to be an effective option, a CPB spokesman explained to Forbes.

Hundreds of drones are expected to hit the Singapore skies in the near future, but with limited airways and a dense population, many question how they will safely fly over the city. Now, researchers have unveiled a traffic management system, which is much like the traffic laws and infrastructure cars have on roads. Named Traffic Management of Unmanned Aircraft Systems, this initiative would designate air-lanes and use virtual fences to reroute drones around restricted geographical locations. Traffic Management of Unmanned Aircraft Systems is the brainchild of Nanyang Technological University (NTU), Singapore. The team has been studying different ways for drones to fly efficiently and safely - even with hundreds in the sky.