Humanoid robots from Figure, Unitree, Tesla Optimus and others, plus robot arms, embodied AI and self-driving cars.
1X just put its humanoid robot EVE to work in real-world security patrols across industrial sites in the US and Europe. Equipped with autonomous arms and instant remote-takeover features, the bot marks a commercial milestone, beating Tesla's Optimus to actual job sites.
Amazon is secretly working on an LLM-powered project dubbed Burnham to make its Astro home robot substantially smarter, according to leaked internal documents reported by Insider. The system adds conversational abilities and contextual understanding, letting the robot remember what it sees, spot hazards like running faucets, or call emergency services if someone falls. Why it matters: Amazon built the hardware body, but Astro desperately needed common sense—though a commercial rollout remains far off.
Google just shared results from a two-year experiment deploying 23 reinforcement learning-powered mobile robots to sort waste and recyclables across its office buildings. Combining simulation, classroom practice, and real-world trials, the fleet achieved an 84% sorting accuracy and cut waste contamination by up to 50%.
Amazon Alexa AI just open-sourced Alexa Arena, a simulation platform built specifically to train embodied AI agents. Unlike standard simulators, it keeps humans in the loop with game-like visual cues and natural-language commands, making it easier to collect human-robot collaboration data before deploying hardware.
Researchers just introduced PaLM-E, an embodied multimodal language model that injects real-world sensor data directly into an LLM's embedding space. Scaling up to 562B parameters, it turns high-level prompts like "bring me the rice chips" into multi-step physical manipulation plans, even generalizing to objects the robot has never encountered before.
An AI agent just flew Lockheed Martin’s VISTA X-62A tactical aircraft for over 17 hours, marking the first time artificial intelligence has taken the stick on a tactical jet like this. The system mimicked a human pilot using new autonomous control algorithms, aiming to dramatically speed up how the military tests and matures uncrewed combat platforms.
Roboticists like Columbia University's Hod Lipson are actively pursuing machine consciousness, once considered an academic taboo. Lipson defines consciousness as the ability to imagine oneself in the future to adapt and evolve, though critics warn the field is still plagued by fuzzy definitions and human anthropomorphism.
Nvidia just rolled out a major update to its Isaac Sim robotics platform. The tool can now simulate human workers walking around warehouses and stacking boxes, giving robot AI a safe sandbox to practice avoiding collisions before hitting real factory floors. The release also brings RTX-simulated LiDAR alongside a new Isaac ORBIT tool for robotic arm manipulation.
Princeton researchers just introduced ATLA, a method that uses GPT-3-generated descriptions of tool shapes and functions to train robotic arms. Providing language context allowed simulated arms to master unfamiliar tools significantly faster. Why it matters: large language models are proving to be an effective shortcut for giving physical robots common-sense adaptability.
Meta just introduced Habitat 3.0, a simulator built to train embodied AI alongside human avatars in everyday indoor tasks. Robots can now learn social behaviors like yielding in narrow hallways and sharing chore duties in realistic 3D homes. Why it matters: it lets researchers evaluate social human-robot collaboration safely and cheaply before deploying to physical hardware.
