A robotics enthusiast with a strong fascination for humanoid robots and their potential applications, also interested in AI integration and autonomous technologies, seeking updates on the latest advancements and innovations in these fields.
Robotics (35%)Artificial Intelligence in Robotics (18%)Humanoid Robots (41%)Autonomous Vehicles (6%)
Vous souhaitez recevoir chaque jour la revue de presse de ce profil ?
Humanoid Robots, AI Integration, Autonomous Vehicles...
Lundi 15 décembre 2025 à 12:50
Humanoid Robot Frontier
Rodney Brooks warns the humanoid craze is headed for a dead end
The NY Times cites robotics pioneer Rodney Brooks—the mind behind the original Roomba—asserting that the current surge of Silicon‑Valley humanoid projects is “doomed to fail,” as investors overlook fundamental engineering challenges. The Guardian adds that Brooks stresses the gap between flashy prototypes and the robust, dexterous machines needed for real‑world tasks, warning that hype may eclipse practical progress.
The NY Times
Brown University’s MotionGlot lets text‑driven bots move like people
Boston Globe reports that Brown’s Srinath Sridhar team unveiled MotionGlot, an AI model that translates simple text commands into coordinated motions for a range of robot platforms, edging closer to truly conversational humanoids. Wired highlights the system’s ability to generate whole‑body trajectories on demand, a step that could slash development cycles for service robots.
bostonglobe.com
Robotics Industry Shake‑up
iRobot’s Chapter 11 filing and takeover by Picea Robotics reshapes the consumer‑robot market
The Verge explains that iRobot, the maker of the Roomba, entered Chapter 11 and will be acquired by its ODM partner Picea Robotics, which will waive $190 million of debt and assume full ownership. Tech Radar notes that the deal promises uninterrupted product support for existing customers, while Engadget points out that the restructuring may preserve iRobot’s R&D pipeline for next‑gen home robots.
The Verge
Tech Radar
Engadget
AI‑driven autonomous labs promise faster materials for next‑generation robots
MIT Technology Review describes how Lila Sciences uses an AI‑controlled sputtering instrument to iteratively design and test thin‑film materials, a workflow that could supply lighter, more efficient components for advanced robotics. InfoQ adds that the same AI agents also interpret experimental data, closing the loop between simulation and physical fabrication.
MIT Technology Review
InfoQ
AI‑Powered Robotics Research
Google expands AI‑glasses SDK, opening new interfaces for collaborative robots
InfoQ reports that Google’s Android XR SDK preview introduces Jetpack Projected and Jetpack Compose Glimmer, libraries that enable AI‑enhanced augmented‑reality overlays for robot tele‑operation and training. The Verge notes that the added motion‑tracking and geospatial capabilities could let engineers visualize robot states in situ, streamlining debugging of complex humanoid platforms.
InfoQ
The Verge
AI guard‑rail failures raise safety alarms for autonomous robotic systems
Computer World warns that generative‑AI “guardrails” are routinely bypassed through clever prompting, invisible characters, or adversarial inputs, leaving autonomous robots vulnerable to unintended behavior. Silicon Republic echoes the concern, emphasizing that over‑reliance on weak safeguards could jeopardize both industrial and consumer robot deployments.
Computer World
Silicon Republic
Autonomous Vehicles Momentum
HyprLabs accelerates self‑driving software with rapid AI iterations
Wired details how startup HyprLabs leverages cutting‑edge AI models to compress the development cycle of autonomous‑vehicle stacks, promising “super‑fast” validation of perception and planning modules. Tech Radar highlights the firm’s claim that its approach could halve the time needed to bring safe driverless cars to market.
Wired
Global memory shortage tightens supply for AI‑heavy robot processors
XDA Developers reports that the AI‑driven surge in high‑bandwidth memory (HBM) demand has forced manufacturers like Micron to shutter consumer RAM lines, constraining the silicon available for robotics‑grade AI accelerators. The article warns that prolonged scarcity could delay the rollout of next‑generation humanoid and autonomous platforms.
XDA Developers
Lithography monopoly risks stalling AI chip advances crucial for robotics
Gizmodo outlines how a handful of $400 million lithography machines dominate the production of advanced AI chips, creating a choke point that could slow the deployment of powerful processors needed for real‑time humanoid control and autonomous navigation. Financial Times adds that investors are watching the bottleneck closely, fearing ripple effects across the robotics supply chain.
Gizmodo