Samsung Electronics has once again sidelined Ballie, a long-anticipated robot that was first announced six years ago but never released. Bloomberg News: The device -- designed to roll and roam throughout the home -- is completely absent from this week's CES, the biggest electronics trade show. And though Samsung said last year that Ballie was nearly ready for a retail release, the product is now unlikely to resurface soon. In an emailed statement, Samsung referred to Ballie as an "active innovation platform" within the company, rather than a forthcoming consumer device. "After multiple years of real-world testing, it continues to inform how Samsung designs spatially aware, context-driven experiences, particularly in areas like smart home intelligence, ambient AI and privacy-by-design," a Samsung spokesperson said in the statement.

Read more of this story at Slashdot.

At CES 2026 today, Hyundai and Boston Dynamics publicly demonstrated its humanoid robot Atlas, showing off fluid movement and announcing plans to deploy a production version in Hyundai's EV factory by 2028. NBC News reports: "For the first time ever in public, please welcome Atlas to the stage," said Boston Dynamics' Zachary Jackowski as a life-sized robot with two arms and two legs picked itself up from the floor at a Las Vegas hotel ballroom. It then fluidly walked around the stage for several minutes, sometimes waving to the crowd and swiveling its head like an owl. An engineer remotely piloted the robot from nearby for the purpose of the demonstration, though in real life Atlas will move around on its own, said Jackowski, the company's general manager for humanoid robots. [...] Hyundai also announced a new partnership with Google's DeepMind, which will supply its artificial intelligence technology to Boston Dynamics robots. It's a return to a familiar partnership for Google, which bought Boston Dynamics in 2013 before selling it to Japanese tech giant SoftBank several years later. Hyundai acquired it from SoftBank in 2021. [...] At the end of Monday's live Atlas demonstration, which appeared flawless, the humanoid prototype swung its arms in a theatrical gesture to introduce a static model of the new product version of Atlas, which looked slightly different and was blue in color. "I think the question comes back to what are the use cases and where is the applicability of the technology," said Alex Panas, a partner at consultancy McKinsey who helped lead a CES robotics panel that attracted hundreds of people earlier in the day. "In some cases, it may look more humanoid. In some cases, it may not." Either way, Panas said, "the software, the chipsets, the communication, all the other pieces of the technology are coming together, and they will create new applications." You can watch a video of the demonstration on YouTube.

Read more of this story at Slashdot.

An anonymous reader quotes a report from Ars Technica: The nervous system does an astonishing job of tracking sensory information, and does so using signals that would drive many computer scientists insane: a noisy stream of activity spikes that may be transmitted to hundreds of additional neurons, where they are integrated with similar spike trains coming from still other neurons. Now, researchers have used spiking circuitry to build an artificial robotic skin, adopting some of the principles of how signals from our sensory neurons are transmitted and integrated. While the system relies on a few decidedly not-neural features, it has the advantage that we have chips that can run neural networks using spiking signals, which would allow this system to integrate smoothly with some energy-efficient hardware to run AI-based control software. [...] There are four ways that these trains of spikes can convey information: the shape of an individual pulse, through their magnitude, through the length of the spike, and through the frequency of the spikes. Spike frequency is the most commonly used means of conveying information in biological systems, and the researchers use that to convey the pressure experienced by a sensor. The remaining forms of information are used to create something akin to a bar code that helps identify which sensor the reading came from. In addition to registering the pressure, the researchers had each sensor send a "I'm still here" signal at regular time intervals. Failure to receive this would be an indication that something has gone wrong with a sensor. The spiking signals allow the next layer of the system to identify any pressure being experienced by the skin, as well as where it originated. This layer can also do basic evaluation of the sensory input: "Pressure-initiated raw pulses from the pulse generator accumulated in the signal cache center until a predefined pain threshold is surpassed, activating a pain signal." This can allow the equivalent of basic reflex reactions that don't involve higher-level control systems. For example, the researchers set up a robotic arm covered with their artificial skin, and got it to move the arm whenever it experiences pressure that can cause damage. The second layer also combines and filters signals from the skin before sending the information on to the arm's controller, which is the equivalent of the brain in this situation. So, the same system caused a robotic face to change expressions based on how much pressure its arm was sensing. [...] The skin is designed to be assembled from a collection of segments that can snap together using magnetic interlocks. These automatically link up any necessary wiring, and each segment of skin broadcasts a unique identity code. So, if the system identifies damage, it's relatively easy for an operator to pop out the damaged segment and replace it with fresh hardware, and then update any data that links the new segment's ID with its location. The researchers call their development a neuromorphic robotic e-skin, or NRE-skin. "Neuromorphic" as a term is a bit vague, with some people using it to mean a technology that directly follows the principles used by the nervous system. That's definitely not this skin. Instead, it uses "neuromorphic" far more loosely, with the operation of the nervous system acting as an inspiration for the system.The findings have been published in the journal PNAS.

Read more of this story at Slashdot.

An anonymous Slashdot reader shared this story from Interesting Engineering: Cybersecurity specialists from the research group DARKNAVY have demonstrated how modern humanoid robots can be compromised and weaponised through weaknesses in their AI-driven control systems. In a controlled test, the team demonstrated that a commercially available humanoid robot could be hijacked with nothing more than spoken commands, exposing how voice-based interaction can serve as an attack vector rather than a safeguard, reports Yicaiglobal... Using short-range wireless communication, the hijacked machine transmitted the exploit to another robot that was not connected to the network. Within minutes, this second robot was also taken over, demonstrating how a single breach could cascade through a group of machines. To underline the real-world implications, the researchers issued a hostile command during the demonstration. The robot advanced toward a mannequin on stage and struck it, illustrating the potential for physical harm.

Read more of this story at Slashdot.

Roomba manufacturer iRobot filed for bankruptcy today, reports Bloomberg. After 35 years, iRobot reached a "restructuring support agrement that will hand control of the consumer robot maker to Shenzhen PICEA Robotics Co, its main supplier and lender, and Santrum Hong Kong Compny." Under the restructuring, vacuum cleaner maker Shenzhen PICEA will receive the entire equity stake in the reorganised company... The plan will allow the debtor to remain as a going concern and continue to meet its commitments to employees and make timely payments in full to vendors and other creditors for amounts owed throughout the court-supervised process, according to an iRobot statement... he company warned of potential bankruptcy in December after years of declining earnings. Roomba says it's sold over 50 million robots, the article points out, but earnings "began to decline since 2021 due to supply chain headwinds and increased competition. "A hoped-for by acquisition by Amazon.com in 2023 collapsed over regulatory concerns."

Read more of this story at Slashdot.

alternative_right quotes a report from Phys.org: To teach robots how to become tomato pickers, Osaka Metropolitan University Assistant Professor Takuya Fujinaga, Graduate School of Engineering, programmed them to evaluate the ease of harvesting for each tomato before attempting to pick it. Fujinaga's new model uses image recognition paired with statistical analysis to evaluate the optimal approach direction for each fruit. The system involves image processing/vision of the fruit, its stems, and whether it is concealed behind another part of the plant. These factors inform robot control decisions and help it choose the best approach. The model represents a shift in focus from the traditional 'detection/recognition' model to what Fujinaga calls a 'harvest-ease estimation.' "This moves beyond simply asking 'can a robot pick a tomato?' to thinking about 'how likely is a successful pick?', which is more meaningful for real-world farming," he explained. When tested, Fujinaga's new model demonstrated an 81% success rate, far above predictions. Notably, about a quarter of the successes were tomatoes that were successfully harvested from the right or left side that had previously failed to be harvested by a front approach. This suggested that the robot changed its approach direction when it initially struggled to pick the fruit. "This is expected to usher in a new form of agriculture where robots and humans collaborate," said Fujinaga. "Robots will automatically harvest tomatoes that are easy to pick, while humans will handle the more challenging fruits." The findings are published in Smart Agricultural Technology.

Read more of this story at Slashdot.

An anonymous reader quotes a report from Politico: Five months after releasing a plan to accelerate the development of artificial intelligence, the Trump administration is turning to robots. Commerce Secretary Howard Lutnick has been meeting with robotics industry CEOs and is "all in" on accelerating the industry's development, according to three people familiar with the discussions who were granted anonymity to share details. The administration is considering issuing an executive order on robotics next year, according to two of the people. A Department of Commerce spokesperson said: "We are committed to robotics and advanced manufacturing because they are central to bringing critical production back to the United States." The Department of Transportation is also preparing to announce a robotics working group, possibly before the end of the year, according to one person familiar with the planning. A spokesperson for the department did not respond to a request for comment. There's growing interest on Capitol Hill as well. A Republican amendment to the National Defense Authorization Act would have created a national robotics commission. The amendment was not included in the bill. Other legislative efforts are underway. The flurry of activity suggests robotics is emerging as the next major front in America's race against China. "There is now recognition that advanced robotics is crucial to the U.S. in terms of manufacturing, technology, national security, defense applications, public safety," said Brendan Schulman, VP of policy and government relations for Boston Dynamics. "The investment that we're seeing in the sector and the efforts in China to dominate the future of robotics are being noticed."

Read more of this story at Slashdot.

Boston Dynamics' Spot robot is now deployed by more than 60 bomb squads and SWAT teams across the US and Canada. The 75-pound four-legged machine starts at around $100,000 and has been used in armed standoffs, hostage rescues and hazardous materials incidents since its commercial debut five years ago. The Massachusetts State Police operates two Spot units purchased in 2020 and 2022. Each cost about $250,000 including add-ons funded through state grants. Last year one of the robots helped corner a suspect who had taken his mother hostage at knifepoint in Hyannis. Houston operates three units and Las Vegas has one. ICE recently spent around $78,000 on a similar robot from Canadian manufacturer Icor Technology that can also deploy smoke bombs. Civil liberties groups have raised concerns about normalizing militarized policing. The NYPD suspended its limited Spot program in 2021 after public backlash over cost and surveillance concerns before later reinstating it and purchasing two units. The Electronic Frontier Foundation says there should be state and federal laws providing guidance on appropriate use of such technology. About 2,000 Spot units now operate globally.

Read more of this story at Slashdot.