2567 articles tagged with Robotics
Long-horizon compositional manipulation has become increasingly important for real-world robot deployment, where a single task involves multiple coordinated subtasks. Existing worl...
As robotic hardware and learning methods advance, humanoids need tools to perform tasks beyond their inherent physical limits. Successful tool use requires selecting a suitable too...
I have no mouth and I must spend tokens?https://www.404media.co/someone-torturing-llms-in-a-robot-prison-has-triggered-the-dumbest-debate-in-ai-yet/#AI #github
Someone ‘Torturing’ LLMs in a Robot Prison Has Triggered the Dumbest Debate in AI Yethttps://www.404media.co/someone-torturing-llms-in-a-robot-prison-has-triggered-the-dumbest-deba...
I really HATE talking to chatbots when I contact customer service. I don't want to explain my problem to a robot.#enshittification #techbros #llm #ai #noai #chatbots #privacy
Long-horizon robot manipulation reuses skills across many task compositions, but improving these compositions with additional end-to-end demonstrations is costly. A practical self-...
Reinforcement learning (RL) for dexterous manipulation must discover finger-object contacts and then control the object precisely; the action noise that serves the first goal can i...
Recent advances in robot learning have enabled manipulation policies to perform increasingly diverse tasks and generalize across environments. However, reliable execution often dep...
The agency inked the deal with Connecticut company Radeco, which modifies the original machines with military grade add-ons that include a robotic arm, thermal camera, and sensors ...
China’s securities regulator is raising the bar for humanoid robot companies seeking to list publicly, tightening scrutiny over revenue, losses, and technology as regulators and in...
Mori Building and others have showcased a demonstration of a suitcase-shaped robot equipped with artificial intelligence that can guide visually impaired people. https://www.japant...
Hello Robot today announced that it has received a Phase IIB Small Business Innovation Research grant from the National Institute on Aging, part of the National Institutes of Healt...
Coding agents can now write, run, and debug programs with little human help. Robot tasks, however, are usually specified by a sentence that leaves out how to grasp, in what order t...
Small exercises for robot learning, rustlings style: kinematics, dexterous hands, control, diffusion policy, flow matching. NumPy only.
Real-world robot learning is constrained by the cost of collecting experience and evaluating candidate behaviors. Video generation models offer a scalable foundation for visual sim...
Behavior Foundation Models (BFMs) give humanoids a promptable policy over a latent behavior space, enabling one single vector to represent a motion to imitate, a pose to reach, or ...
Teaching humanoids loco-manipulation skills, such as carrying diverse objects, via visual imitation is a promising path toward generalist robots. However, collecting diverse, high-...
Transferring human motion to humanoid robots requires adapting the demonstrated motion to the robot morphology while preserving interactions with the environment. This is particula...
Coding agents are beginning to move beyond purely digital tasks to tackle physical-world challenges, particularly in robotics. Existing robotics benchmarks, however, primarily focu...
Vision-language-action (VLA) models have advanced robotic manipulation, but their zero-shot generalization in new tasks and environments remains limited, and their reliance on spec...