Artificial intelligence is no longer confined to digital screens—it is learning to move, interact, and operate in the physical world. This category explores the rapidly evolving field of Robotic AI 🤖. Dive into cutting-edge research on how machine learning, computer vision, and sensor fusion are empowering autonomous systems. From reinforcement learning in virtual simulations and advanced kinematics to the vision-language models driving modern humanoid robots, stay updated on the algorithms teaching machines to navigate and manipulate their environments safely and intelligently.
Magnetic compression anastomosis, MCA for short, is a minimally invasive alternative to conventional surgical reconnection of digestive tissue. Instead of stitching or stapling two ends of tissue together, surgeons place a magnet on each side of the gap using flexible…
A Magnetic HUD System Guides Compression Anastomosis Surgery Read More »
The pitch for humanoid robots is that their body looks like ours, so they should be able to do what we do, move through spaces built for people, use tools made for our hands, and pick up new skills by…
BeyondMimic: The 1st Revolutionary Way Guided Diffusion Controls Humanoids Read More »
You decide you want a hammer. Within a second your mind has sketched a rough plan. Walk to the garage, open the third drawer, and if it is not there, check the shed. You did not search over every possible…
Brain Inspired Planning With Cognitive Maps and Sampling Read More »
Lifting heavy things for a living wears out backs. Warehouse pickers, nurses shifting patients, factory hands hauling parts, all of them pay for the work in tired joints and strained spines, and the bill lands hardest on the lower back.…
Designing the ergoCub Humanoid Around Human Ergonomics Read More »
Most robots are built like a person giving orders to their hands. A central computer takes in everything the sensors report, works out what to do, and sends commands back out to the motors. This works beautifully in a factory,…
An Octopus Inspired Soft Arm That Grasps By Feel Read More »
Search and rescue missions live or die on speed. Every hour spent searching the wrong hillside is an hour a missing hiker does not have, and remote terrain, whether that is wilderness, a collapsed urban block, or open water, tends…
How Croatian Researchers Taught UAV Swarms To Search Hills Like Water Finds Level Read More »
Coordinating many robots in a shared space sounds like a solved problem until you look at what the popular solutions actually assume. The dominant family, Multi Agent Path Finding, treats the world as a grid graph. A robot hops from…
db-ECBS Plans Motion for Dense Robot Swarms Read More »
Here is a puzzle the authors open with. People throw with speed and accuracy, and so do some animals, chimpanzees and elephants among them. Robots have lower communication latency and far more precise motor control than any animal, and yet…
Sliding Pivot Model Explains Robot Throwing Release Read More »
Most engineers meet friction as a single number. Coulomb told us the force opposing motion is proportional to the normal load, and for a block sliding in a straight line that story holds up well enough. The problem runs deeper…
Planar Friction Modelling With LuGre and Limit Surfaces Read More »
Robot path planning has been reviewed before, more than once, and the authors say so themselves. What makes this paper different is scope rather than depth. It does not stop at classical search and sampling methods the way older surveys…
Robot Path Planning Evolution From Search To Quantum Read More »