Research Papers
Robotik alanındaki en yeni araştırmaların sade dille özetleri — insansı robotlar, dört ayaklılar, endüstriyel otomasyon ve yapay zekâ.
AI5 Tem
ACID Framework Boosts Robotic Planning With Action Consistency Check

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

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

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

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

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

AI3 Tem
Controllable Traffic Agents Learn Steering Behaviors From Latent Variables

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

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

Robotics2 Tem
Sensorless Teleoperation Uses Inverse Dynamics for Transparent Control

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

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

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

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

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

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

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

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

Robotics29 Haz
