Papers tar-riċerka
Sommarji b’lingwaġġ sempliċi tal-aħħar riċerka fir-robotika — robots umanojdi, robots kwadrupedi, awtomazzjoni industrijali u AI.
AILul 5
ACID Framework Boosts Robotic Planning With Action Consistency Check

AILul 5
LIME Teaches Robots Where to Look Based on Language Intent

AILul 5
WorldSample Boosts Real Robot Learning with World Model Data Augmentation

AILul 4
Task-Agnostic Pretraining: Teaching Robots to Move Before Teaching Tasks

RoboticsLul 4
Differentiable Simulation Trains Drones to Intercept Intruders Using Only Direction

dronesLul 4
QuadRocket Testbed Uses a Drone to Control a Rocket-Like Flying Pendulum

AILul 3
Controllable Traffic Agents Learn Steering Behaviors From Latent Variables

RoboticsLul 3
Embodied.cpp Enables Efficient C++ Inference for Embodied AI on Heterogeneous Robots

RoboticsLul 3
Visual-Tactile World Action Model for Contact-Rich Manipulation

RoboticsLul 2
Sensorless Teleoperation Uses Inverse Dynamics for Transparent Control

AILul 2
GPU-Parallel Linearization Error Bounds for Real-Time Robust Optimal Control of Nonlinear and Neural Network Dynamics

AILul 2
FurnitureVLA: Teaching Robots to Assemble IKEA Furniture Using Vision-Language-Action Models

HumanoidLul 1
PrimeU: Humanoid Robot That Learns Tasks by Watching Human Videos

AILul 1
Freeform Preferences Help Robots Learn From Human Feedback Without Rigid Ratings

RoboticsLul 1
Disentangled Video World Model Speeds Robotic Planning Without Sacrificing Quality

RoboticsĠun 30
Sequential Planning via Anchored Robotic Keypoints: Training-Free Robot Manipulation

AIĠun 30
GROW²: Teaching Robots to Select Tools and Find Their Functional Regions

HumanoidĠun 30
Vision-Language-Kinematics: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed 3D Scenes

RoboticsĠun 29
