Papers di ricerca
Sintesi in linguaggio semplice delle più recenti ricerche sulla robotica — robot umanoidi, quadrupedi, automazione industriale e IA.
AI5 lug
ACID Framework Boosts Robotic Planning With Action Consistency Check

AI5 lug
LIME Teaches Robots Where to Look Based on Language Intent

AI5 lug
WorldSample Boosts Real Robot Learning with World Model Data Augmentation

AI4 lug
Task-Agnostic Pretraining: Teaching Robots to Move Before Teaching Tasks

Robotics4 lug
Differentiable Simulation Trains Drones to Intercept Intruders Using Only Direction

drones4 lug
QuadRocket Testbed Uses a Drone to Control a Rocket-Like Flying Pendulum

AI3 lug
Controllable Traffic Agents Learn Steering Behaviors From Latent Variables

Robotics3 lug
Embodied.cpp Enables Efficient C++ Inference for Embodied AI on Heterogeneous Robots

Robotics3 lug
Visual-Tactile World Action Model for Contact-Rich Manipulation

Robotics2 lug
Sensorless Teleoperation Uses Inverse Dynamics for Transparent Control

AI2 lug
GPU-Parallel Linearization Error Bounds for Real-Time Robust Optimal Control of Nonlinear and Neural Network Dynamics

AI2 lug
FurnitureVLA: Teaching Robots to Assemble IKEA Furniture Using Vision-Language-Action Models

Humanoid1 lug
PrimeU: Humanoid Robot That Learns Tasks by Watching Human Videos

AI1 lug
Freeform Preferences Help Robots Learn From Human Feedback Without Rigid Ratings

Robotics1 lug
Disentangled Video World Model Speeds Robotic Planning Without Sacrificing Quality

Robotics30 giu
Sequential Planning via Anchored Robotic Keypoints: Training-Free Robot Manipulation

AI30 giu
GROW²: Teaching Robots to Select Tools and Find Their Functional Regions

Humanoid30 giu
Vision-Language-Kinematics: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed 3D Scenes

Robotics29 giu
