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The X1, the world’s first multirobot system, integrates a humanoid robot with a transforming drone capable of launching from its back, driving, and flying. This innovative system is designed to tackle emergency scenarios by deploying autonomous agents quickly.


Robots with wheel-legs and a humanoid form move near a fountain and trees, in front of a modern building under bright daylight.
Credit: CALTECH

The new multimodal system is a product of a three-year collaboration between Caltech’s Center for Autonomous Systems and Technologies (CAST) and the Technology Innovation Institute (TII) in Abu Dhabi, United Arab Emirates. It showcases innovative projects possible through combined global expertise in autonomous systems, artificial intelligence, robotics, and propulsion.



Aaron Ames, director and Booth-Kresa Leadership Chair of CAST, and Bren Professor at Caltech, highlighted the system’s advantage. He noted that while robots can fly, drive, or walk, combining these locomotion modalities into one package maximises benefits and mitigates individual limitations.


Drone flying over a park, red four-wheeled robot on pavement with "Caltech" logo, and humanoid robot walking on a path.
Credit: CALTECH

A team recently demonstrated X1's capabilities on Caltech’s campus, simulating an emergency requiring rapid autonomous agent deployment. For the test, an off-the-shelf Unitree G1 humanoid was modified to carry M4, Caltech’s multimodal robot that can fly and drive, as a backpack.


The demonstration began with the humanoid walking from Gates–Thomas Laboratory through Sherman Fairchild Library to an elevated spot for safe deployment. The humanoid bent forward, allowing M4 to launch in drone mode before landing and transforming into driving mode for efficient ground travel.


M4 then encountered Turtle Pond, switching back to drone mode to fly over the obstacle, reaching the “emergency” site near Caltech Hall. A second M4 and the humanoid eventually joined the first responder.


Mory Gharib, Ph.D., Hans W. Liepmann Professor at Caltech and CAST’s founding director, explained the challenge of integrating different robots into a single, multi-functional system. He said the collaboration provided the ideal solution.


Gharib’s group, which originally built the M4 robot, specialises in flying and driving robots, as well as advanced control systems. Ames’ lab contributes expertise in locomotion and developing algorithms for safe humanoid robot use. TII provides extensive knowledge in autonomy and sensing for robotic systems in urban environments.


A Northeastern University team led by Alireza Ramezani, an associate professor, assists with morphing robot design. Ramezani praised the collaboration, highlighting how researchers with diverse skill sets addressed challenging robotics problems, from perception and sensor data fusion to locomotion modelling, controls, and hardware design.


In July 2025, TII engineers visited Caltech, where partners built a new M4 version utilising Saluki, a secure flight controller and computer technology from TII for onboard computing. Future work aims to equip the entire system with sensors, model-based algorithms, and machine learning-driven autonomy for real-time navigation and adaptation.


Claudio Tortorici, director of TII, stated, “We install different kinds of sensors—lidar, cameras, range finders—and we combine all these data to understand where the robot is, and the robot understands where it is in order to go from one point to another.” He affirmed TII’s contribution to autonomous movement.


Ames clarified that the humanoid robot’s actions in the demo were more advanced than simple walking. While many humanoid robots use human movement data, Ames’ group builds mathematical models describing physics for broader applications.


These models, fused with machine learning, provide robots with general abilities to navigate various situations. Ames noted, “The robot learns to walk as the physics dictate,” enabling X1 to walk on different terrains, stairs, and while carrying items like M4.


An overarching goal of the collaboration is to make such autonomous systems safer and more reliable. Tortorici believes society is increasingly accepting robots, but reliability is crucial for their widespread integration.


Ames confirmed the ongoing work on safety-critical control, ensuring system trustworthiness and security. He added that multiple projects extend beyond this one, addressing various facets of autonomy to collectively advance the field.

  • The X1 is the world’s first multirobot system, combining a humanoid robot and a transforming drone.

  • The system can launch a drone from its back, enabling it to drive, fly, and navigate various terrains for emergency response.

  • It is a result of a three-year collaboration between Caltech’s CAST and the Technology Innovation Institute (TII) in Abu Dhabi.


The National Football League has partnered with Amazon Web Services to develop an injury prediction tool, aiming to enhance player health and manage risks. This initiative reflects the league's investment in technology to keep players on the field, especially given the hundreds of millions of dollars teams commit to their rosters each season.

Football players in red jerseys tackle a player in white in an intense game. Helmets show team logos. Determined mood, crowd in background.
Credit: NFL

Julie Souza, global head of sports at AWS, stated, "Fans want their favourite players on the field. The team owners certainly want those players on the field. The athletes themselves want to be on the field." Souza added that efforts to improve player health represent a "noble endeavour."


The "Digital Athlete" tool aggregates video and data from all 32 teams, encompassing training, practice, and games. This comprehensive information helps teams monitor player workload, assess injury risk, and track league-wide trends and benchmarks.


Two football players in red helmets and black jerseys face each other closely on the field, showing teamwork and focus.
Credit: NFL

All teams have utilised the Digital Athlete portal for three seasons, with medical staff praising its benefits. They describe it as a "one-stop shop" for injury information that was previously unavailable from a single source.


Tyler Williams, vice president of health and performance for the Minnesota Vikings, explained that the tool provides more information for asking better questions and making effective interventions. He summarised sports science as "How can we measure and assess to make ourselves more effective and efficient."


Digital Athlete gathers data through sensors in shoulder pads, cameras, and optical tracking during practice and games. This process is similar to how NextGen stats collects information but on a far larger scale.


While NextGen Stats generates approximately 500 million data points in an entire season, Digital Athlete accumulates that volume weekly. This immense data necessitates machine learning and artificial intelligence to extract meaningful insights.


Souza emphasised, "The sheer volume of data means somebody can’t be sitting there with a clipboard or Excel figuring that out." She noted it is "absolutely a job for high-performance computers, machine learning, artificial intelligence, all of those things."


A key strength of Digital Athlete is its capacity to consolidate data from over 1,500 players across all 32 teams. This provides training staff and coaches with superior insights into injury susceptibility and effective mitigation strategies.


Teams have used the tool to plan training camp schedules and determine appropriate weekly workloads during the season. It helps identify players or position groups that might need reduced work to prevent soft-tissue injuries.


Williams noted that the data often reinforces existing beliefs but occasionally highlights issues he might have missed. Empirical evidence aids in persuading players to take days off or convincing coaches to adjust practice loads.


The model tracks decelerations, accelerations, total on-field workload, and changes of direction to inform staff about a player's exertion levels. While the NFL has reported a reduction in overall injuries since the tool's introduction, Williams acknowledges multiple contributing factors.


Williams stated, "Everybody is always going to want the smoking gun that if we do A and pair it with B, we will get C." He stressed that while nobody is preventing injuries, the goal is to mitigate risk through comprehensive measurement and assessment.


The NFL has also leveraged data from these systems to model the impact of rule changes. Digital Athlete simulated 10,000 seasons to project how the new kickoff rule, introduced last season, would affect injuries.


The data has also guided the league in identifying optimal helmets for concussion protection. Dawn Aponte, an NFL executive, indicated that the data informed changes to quarterback helmets, adding more padding at the back.


Aponte reported that the NFL recorded its lowest number of concussions last year since tracking began. She attributed this to the ability to analyse data, leading to improved equipment, better-performing helmets, and enhanced manufacturing based on impact types.


Initially, Aponte observed scepticism from some, who questioned if this was "junk science." However, she now sees widespread acceptance from coaches, medical staff, and players, viewing it as an "additive tool."


She explained that the tool complements coaching decisions, providing data-driven insights. "When you’re actually able to point them to certain things and say, hey, this is what we’re seeing," Aponte stated, "When they start losing players, particularly in training camp, they pay more attention."

  • The NFL collaborated with Amazon Web Services to develop the "Digital Athlete" AI tool for injury prediction and player health management.

  • The tool collects extensive player data from training, practice, and games across all 32 teams, providing insights into workload and injury risk.

  • Medical staff use the "one-stop shop" portal to inform practice schedules and player workload adjustments, aiming to mitigate injury risks.


Source: AP NEWS

Netflix announced a new distribution partnership with Spotify on Tuesday, revealing it will add a slate of Spotify’s popular video podcasts to its service from early 2026. This collaboration aims to broaden the streaming giant’s entertainment lineup and draw new audiences.


Two phones display "We Said What We Said" podcast by Rickey and Denzel. Left: purple cover art. Right: two hosts talking on a couch. Spotify logo.
Credit: SPOTIFY

The partnership underscores Netflix’s push to diversify beyond scripted series, films, and reality programming by tapping into the growing appeal of audio-visual podcast formats. For Spotify, the deal is expected to extend the reach of its creators to Netflix’s large global subscriber base.


The initial lineup will feature shows such as “The Dave Chang Show,” “The Bill Simmons Podcast,” “The Zach Lowe Show,” “The Rewatchables,” “The Big Picture,” and “Serial Killers.” This curated slate will span sports, culture, and true crime content.


Notably, “The Joe Rogan Experience,” Spotify’s most-listened-to podcast globally, will not be included in the initial offering.


Netflix said the video podcast offering will debut in the United States in early 2026, with a wider international rollout to follow.


Netflix screen with various show and movie posters, including Bridgerton and The Crown, arranged in a grid. Central Netflix logo.
Credit: NETFLIX

Lauren Smith, vice president of content licensing and programming strategy at Netflix, commented on the agreement. Smith stated, “As video podcasts continue to grow in popularity, our partnership with Spotify allows us to bring full video versions of these top shows to both Netflix and Spotify audiences.”


Roman Wasenmüller, vice president and head of podcasts at Spotify, also provided a statement. Wasenmüller said, “This offers more choice to creators and unlocks a completely new distribution opportunity.”


The financial terms of the distribution partnership were not announced.

  • Netflix will add a selection of Spotify video podcasts starting early 2026.

  • The partnership aims to diversify Netflix’s content and expand Spotify creators’ reach.

  • Initial shows include “The Dave Chang Show,” “The Bill Simmons Podcast,” and “Serial Killers.”


Source: REUTERS

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