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.
A balancing robot, a building with a vibration damper and a chemical reactor all share one control problem. Pick the feedback gains that keep the system near its target at the lowest long run cost. Reinforcement learning attacks it by…
A Closed Form Hessian for Policy Gradient Control Read More »
An operator stands beside a small drone in a lab and says, “Take off, then move forward and rise at the same time.” A few seconds later she says, “Land, then move forward.” The first sentence is a perfectly good…
An LLM Drafts the Drone Command, Rules Approve It Read More »
Two driverless race cars are closing on each other at a combined speed that would cross a football field in under a second. One has to decide whether the gap ahead is an overtaking chance or a crash waiting to…
Multi Modal Perception for Autonomous Racing at 80 m/s Read More »
Think about what safe driving actually requires. Not just reacting to what is in front of you, but anticipating what is about to be. A pedestrian stepping from behind a parked truck, a scooter darting out of a side street,…
Cars Learn to Hear Vehicles They Cannot See Read More »
A satellite takes a picture, and then it waits. The raw image travels down to a ground station, gets cleaned up, and only then does anyone run a detector over it to find the ships or planes or windmills inside.…
TriCCOT Runs a Transformer Detector on a Space FPGA Read More »
Walk a camera down a row of maize a few weeks after the seedlings come up and the view becomes a green thicket. Leaves cross over leaves, stems from one plant slip behind another, and a single plant can appear…
EgoMaize Tests Plant Segmentation Under Field Occlusion Read More »
Tell a robot to pick up the drill and, with a decent grasp model, it might manage. Tell it to pick up the drill by the handle, not the bit, and most systems have no idea what you mean. They…
UniPart Finds 3D Object Parts From Plain Language Read More »
A self driving car has to do two things at the same time. It has to see the vehicles around it, and it has to guess where they will go. Most systems split those jobs across separate modules, which quietly…
MC-DeTra Sharpens Driving Forecasts at No Inference Cost Read More »
Most indoor robots plan the way GPS plans a car trip. Build a map, assign each segment a cost such as distance, then run a shortest path search. That works well when the map does not change. It works far…
Why a Warehouse Robot Should Sometimes Take the Longer Path Read More »
Warehouses and construction sites are full of tasks that do not need a surgeon’s precision the whole way through. Unloading a truck, stacking pallets, moving crates across a yard, all of these only really need accuracy at the very start,…
How 1 Fascinating Robotized Crane Swings On Purpose to Boost Speed Read More »