Xi greets Trump with ominous warning about risk of war between US and China: 'Beware the Thucydides Trap' How Kylie Kelce REALLY feels about Taylor Swift after her foul-mouthed wedding rant: Insiders reveal stark'differences' between the sisters-in-law... and truth about'feud' What REALLY goes on in some Equinox steam rooms: Gym insiders reveal eye-popping indecency... secret towel signals used by experimental married men... and clubs with most'aggressive' locker rooms Trump's hidden five-tap code in handshake with Xi... and the tell-tale'bullfrog smile' that betrayed the president Inside Eric Swalwell's marriage implosion: Disgraced Democrat nowhere in sight at family home as his furious wife appears without her ring and delivers ultimate insult Home Depot and Lowe's use sneaky cameras in theft crackdown - but honest customers are the real victims Buster Murdaugh's explosive reaction as his father's murder conviction is overturned: Insiders reveal all about his secret new life... and jailhouse calls with Alex Inside Carrie Underwood's'grounded' and'traditional' home life on her 400-acre Tennessee farm Grotesque new Michael Jackson allegations raise questions about his accusers so taboo they're almost impossible to ask... but we must: MAUREEN CALLAHAN Kylie Jenner and Timothee Chalamet's mortifying relationship secrets exposed: Her'jealousy'... his pleas for'space'... and why he's now finally'on board' with a proposal Beautiful young mom appeared to have it all. Now her two toddlers are dead after falling into a pool while on COCAINE... and her own parents allegedly made very troubling comments about her Walmart axes 1,000 workers as white-collar jobs bloodbath reaches America's biggest private employer Grief author Kouri Richins gives 40-minute rant about love and calls husband's poisoning murder a'tragedy' as she learns fate in Moscow Mule slaying... and sends deranged message to her sons This miracle drug rapidly reversed my balding. It wrecked my sex life... but a microdosing hack gave me my libido and my hair back You've heard of Wife Swap...but what about elephant swap? A jumbo operation has seen a huge male elephant in Kent swapped with two cheeky youngsters in Bristol to balance out the herds. Shaka, the dominant bull at Noah's Ark Zoo Farm in Bristol, has now joined the herd at Howletts Wild Animal Park in Kent.

Gaylord is home to its own herd of 60 elk and one of the largest wild herds in the United States. Breakthroughs, discoveries, and DIY tips sent every weekday. When winter's bitter winds blow and snow falls, it can be hard for some of us to muster up the will and energy to actually spend time out in nature. Still, connecting with nature is important for our health, even in cold weather. Now, viewers around the world can take advantage of Gaylord, Michigan's elk cam and get a taste of the outdoors from the comfort of home.

Nonprehensile manipulation, such as pushing objects across cluttered environments, presents a challenging control problem due to complex contact dynamics and long-horizon planning requirements. In this work, we propose HeRD, a hierarchical reinforcement learning-diffusion policy that decomposes pushing tasks into two levels: high-level goal selection and low-level trajectory generation. We employ a high-level reinforcement learning (RL) agent to select intermediate spatial goals, and a low-level goal-conditioned diffusion model to generate feasible, efficient trajectories to reach them. This architecture combines the long-term reward maximizing behaviour of RL with the generative capabilities of diffusion models. We evaluate our method in a 2D simulation environment and show that it outperforms the state-of-the-art baseline in success rate, path efficiency, and generalization across multiple environment configurations. Our results suggest that hierarchical control with generative low-level planning is a promising direction for scalable, goal-directed nonprehensile manipulation. Code, documentation, and trained models are available: https://github.com/carosteven/HeRD.

Inside cowboy Charles Jesse "Buffalo" Jones's get-rich-quick scheme to restore the plains 100 years ago. By 1888, Charles Jesse "Buffalo" Jones had succeeded in crossbreeding a buffalo with cow, a hybrid he claimed would be as tasty as beef and as hardy as buffalo. Breakthroughs, discoveries, and DIY tips sent every weekday. The "cattalo" was a homely creature--stocky and shaggy, with a slight buffalo's hump and a cow's docile face. Charles "Buffalo" Jones invented the cow-buffalo hybrid in 1888.

Breakthroughs, discoveries, and DIY tips sent every weekday. Roboticists in China have developed a life-sized, furry, AI-enabled antelope designed to monitor the migration patterns of its real-life counterpart. This "bionic" antelope is part of a growing arsenal of somewhat convincing-looking robots used to observe wildlife in up close and personal ways human researchers often can't. The robot was first reported on by Chinese news agency Xinhua and was reportedly co-designed by DEEP Robotics and the Chinese Academy of Sciences. It was built to fill a gap in current efforts to monitor the once-endangered Tibetan antelope (Pantholops hodgsonii).

Tech expert Kurt Knutsson discusses how robots can milk, feed and clean cows on dairy farms, boosting efficiency and comfort. Picture this: A dairy barn full of cows being milked, fed and cleaned up after, but there's no farmer in sight. Sounds a bit unusual, right? Well, it's not as far-fetched as you might think. Thanks to cutting-edge agricultural robotics, this kind of scene is becoming more common.

This paper introduces a novel control methodology designed to guide a collective of robotic-sheep in a cluttered and unknown environment using robotic-dogs. The dog-agents continuously scan the environment and compute a safe trajectory to guide the sheep to their final destination. The proposed optimization-based controller guarantees that the sheep reside within a desired distance from the reference trajectory through the use of Control Barrier Functions (CBF). Additional CBF constraints are employed simultaneously to ensure inter-agent and obstacle collision avoidance. The efficacy of the proposed approach is rigorously tested in simulation, which demonstrates the successful herding of the robotic-sheep within complex and cluttered environments.

In a remarkable experiment of artificial intelligence meets elephants, researchers have successfully demonstrated how the giant mammals call to each other using individual names. According to a new study published in Nature Ecology and Evolution, African savannah elephants in Kenya were observed and listened to, using machine learning software called Elephant Voices which analysed calls being made between two herds of elephants. The research took place in Samburu National Reserve and Amboseli National Park over four years including 14 months of fieldwork, in which elephants were tracked and observed and their "calls" recorded. Some 469 unique calls or "rumbles" were captured from the African elephants in the experiment. It has long been known that elephants are highly social animals.

In the 2023 blockbuster, Robots, Shailene Woodley and Jack Whitehall star as singletons who send robot'doubles' of themselves out on dates. While this might sound far-fetched, it could soon become a reality. Speaking at the Bloomberg Tech Summit, Herd, 34, claimed that daters could soon use an'AI dating concierge' to go out on hundreds of dates for them. 'If you want to get really out there, there is a world where your [AI] dating concierge could go and date for you with other dating concierge,' she said. In the 2023 blockbuster, Robots, Shailene Woodley and Jack Whitehall star as singletons who send robot'doubles' of themselves out on dates.

Therefore, to transfer a policy on the source robot to multiple target robots, they must launch multiple independent runs for each target robot. We investigate the problem of transferring an expert policy from a source robot to multiple different robots. To solve this problem, we propose a method named Meta-Evolve that uses continuous robot evolution to efficiently transfer the policy to each target robot through a set of tree-structured evolutionary robot sequences. The robot evolution tree allows the robot evolution paths to be shared, so our approach can significantly outperform naive one-to-one policy transfer. We present a heuristic approach to determine an optimized robot evolution tree. Experiments have shown that our method is able to improve the efficiency of one-to-three transfer of manipulation policy by up to 3.2 and one-to-six transfer of agile locomotion policy by 2.4 in terms of simulation cost over the baseline of launching multiple independent one-to-one policy transfers. The robotics industry has designed and developed a large number of commercial robots deployed in various applications. How to efficiently learn robotic skills on diverse robots in a scalable fashion? A popular solution is to train a policy for every new robot on every new task from scratch. This is not only inefficient in terms of sample efficiency but also impractical for complex robots due to a large exploration space. Inter-robot imitation by statistic matching methods that optimize to match the distribution of actions (Ross et al., 2011), transitioned states (Liu et al., 2019; Radosavovic et al., 2020), or reward (Ng et al., 2000; Ho & Ermon, 2016) could be possible solutions. However, they can only be applied to robots with similar dynamics to yield optimal performance. Recent advances in evolution-based imitation learning (Liu et al., 2022a;b) inspire us to view this problem from the perspective of policy transferring from one robot to another. The core idea is to interpolate two different robots by producing a large number of intermediate robots between them which gradually evolve from the source robot toward the target robot.