Research Papers
Plain-English summaries of the latest robotics research — humanoid robots, quadrupeds, industrial automation, and AI.
AIJul 5
ACID Framework Boosts Robotic Planning With Action Consistency Check

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

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

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

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

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

AIJul 3
Controllable Traffic Agents Learn Steering Behaviors From Latent Variables

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

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

RoboticsJul 2
Sensorless Teleoperation Uses Inverse Dynamics for Transparent Control

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

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

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

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

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

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

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

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

RoboticsJun 29
