Humanoid robots from Figure, Unitree, Tesla Optimus and others, plus robot arms, embodied AI and self-driving cars.
Apptronik just inked a commercial deal with Mercedes-Benz to trial its Apollo bipedal robots on auto assembly lines. Starting at a factory in Hungary, the 160-pound bots will inspect and deliver parts to human workers. The pitch is simple: carmakers can plug humanoids into existing facilities to tackle grueling, repetitive tasks without having to redesign the plant.
Figure just integrated OpenAI's vision and speech models into its Figure 01 humanoid robot, enabling it to hold full conversations while executing physical tasks. The robot can process visual context, follow verbal commands, and even pauses naturally while speaking. Why it matters: Bringing ChatGPT into a physical frame turns generative AI into an embodied agent, accelerating the race toward real-world AGI.
California regulators just gave Waymo permission to expand its driverless robotaxi service to highways in Los Angeles and the Bay Area at speeds up to 65 mph. The approval brushes aside objections from local transport agencies over recent safety scares, though Waymo says it has no immediate plans to send cars onto the highway right away.
Humanoid robot maker Figure AI just raised $675 million at a $2.6 billion valuation from Big Tech heavyweights, including Jeff Bezos, Nvidia, Microsoft, and OpenAI. Along with the cash, Figure signed a deal with OpenAI to develop next-generation multimodal models for its robots. Why it matters: the tech giants are officially racing to put frontier AI into physical bodies.
Microsoft and OpenAI are reportedly in discussions to invest up to $500 million in humanoid robot startup Figure AI. Under the proposed deal, Microsoft would put in around $95 million and OpenAI $5 million, valuing the startup at $1.9 billion before funding. The round is meant to fuel its general-purpose Figure 01 robot, though final terms could still change.
Cambridge researchers just developed a robotic fingertip sensor that reads braille at 315 words per minute, roughly double the speed of human readers with 87% accuracy. It uses machine learning to clear motion blur as it smoothly slides across pages. The goal isn't just braille reading, but bringing human-like touch sensitivity to future robotic hands and prosthetics.
Elon Musk just shared a video of Tesla's Optimus robot folding a t-shirt, but admitted it wasn't acting autonomously. While the demo showed off impressive hardware dexterity, the bot was essentially following scripted motions in a controlled setup. Why it matters: Mechanical progress is evident, but fully autonomous household chores remain a distant goal.
Robotics researchers just introduced AutoRT, SARA-RT, and RT-Trajectory to make robots faster, safer, and better at generalization. AutoRT uses foundation models to safely orchestrate fleets and gather training data, SARA-RT slashes Transformer complexity to boost speed by 14%, and RT-Trajectory doubles task success rates on unseen scenarios.
Tesla just unveiled its next-gen humanoid robot, Optimus Gen-2, showing off major improvements in balance and dexterity. The updated prototype sheds over 20 pounds, walks 30% faster, and features tactile finger sensors sensitive enough to handle an egg without cracking it. Humanoid robots are moving uncomfortably fast toward real utility.
NVIDIA just brought its Isaac Sim robotics platform and L40S GPUs to AWS, offering a 2x simulation speedup over the previous-gen A40. The move lets developers spin up preconfigured cloud virtual machines to generate synthetic training data and test robots virtually before deploying in physical warehouses.
Uber just rolled out Waymo driverless vehicles to passengers in Metro Phoenix. Riders booking UberX or Uber Comfort can now get matched with a fully autonomous Waymo vehicle without needing a separate app. The launch comes right as competitor Cruise suffers a permit suspension, giving Waymo a massive distribution boost.
Boston Dynamics just turned its Spot robot into an autonomous tour guide by wiring it up to ChatGPT, Whisper, and BLIP-2. The quadruped can now inspect its surroundings, navigate on the fly, and banter with visitors in whatever persona it is assigned—including a sarcastic guide. Why it matters: It shows how foundation models can give physical robots commonsense reasoning, even if a 6-second latency and hallucinations remain pain points.
NVIDIA Research just revealed Eureka, an AI agent powered by GPT-4 that autonomously writes reward algorithms to train robots via reinforcement learning. It taught robotic hands to spin pens, open drawers, and toss balls, beating human-written reward code on over 80% of tasks with an average 50% performance boost.
Dubai Police just revealed plans to deploy autonomous electric patrol rovers across residential areas. Built by Micropolis Robotics, the vehicle features 360-degree facial recognition, an onboard drone, and AI trained to detect suspicious behavior across a 15-hour shift. Don't expect any high-speed chases, though—its top speed tops out at a leisurely 4.35 mph.
Google DeepMind just partnered with 33 academic labs to launch Open X-Embodiment, pooling data across 22 robot types, alongside new RT-X models. Cross-embodiment training boosted task success rates by 50% on average and tripled emerging skills on RT-2-X. It marks a major push to train generalist robots on shared data, and both the dataset and RT-1-X weights are now public.
Tesla just shared a fresh demo of its humanoid robot Optimus, showing it autonomously sorting colored blocks into trays. Powered by a fully end-to-end trained neural network that maps video straight to motor controls, the robot can self-calibrate its limbs and dynamically adapt when a human moves the objects mid-task.
Researchers from the University of Zurich and Intel built Swift, an autonomous drone system that took down three world-champion pilots in high-speed FPV racing. Trained via reinforcement learning in simulation, Swift relied solely on onboard sensors to clock the fastest lap, beating human records by half a second. It's a breakthrough for physical AI, though human pilots still handle changing conditions like room lighting far better.
Shift Robotics just rolled out Moonwalkers, a strap-on motorized device that boosts your walking speed by up to 250% to 11 km/h. Powered by machine learning, the wheels only turn when you take a step, adapting to your personal gait in under 10 strides without freewheeling. It is currently available only in the U.S. for $1,399.
Google DeepMind just unveiled RT-2, a vision-language-action model that translates web data directly into robotic movements. Rather than relying on separate systems for reasoning and motor control, a single model now directs real-world tasks. In tests on novel, unseen scenarios, its success rate jumped from RT-1's 32% to 62%. Why it matters: General-purpose robots just took a major leap forward.
DeepMind just revealed RoboCat, a multi-task AI model capable of operating different real-world robotic arms. By observing as few as 100 human demonstrations, it can adapt to new tasks and self-generate training data to improve. Why it matters: robotics training is famously slow and tedious, though RoboCat's success rates still wildly fluctuate from 13% to 99%.
