Papers badawcze
Przystępne podsumowania najnowszych badań z zakresu robotyki — robotów humanoidalnych, czworonogów, automatyzacji przemysłowej i AI.
Robotics14 cze
Navigation World Action Model for Goal-Conditioned Visual Navigation

Robotics14 cze
SPARC: Reliable Spatial Annotations from Robot Demonstrations at Scale

AI14 cze
Heterogeneous LiDAR Early Fusion and Learned Re-Ranking for Robust Long-Term Place Recognition

AI13 cze
MaskWAM Teaches Robots to Predict What Matters for Better Manipulation

AI13 cze
LabVLA Brings Vision-Language-Action Models to Lab Automation

Robotics13 cze
MCR-Bionic Hand: How Anatomical Structure Unlocks Dexterous Robot Manipulation

Robotics12 cze
Weaver: A Fast and Scalable World Model for Robotic Manipulation

Robotics12 cze
Flow Reversal Steering Makes Robot Generalists Better at Following High-Level Guidance

AI12 cze
Mana: A New System for Dexterous Robot Manipulation of Articulated Tools

AI11 cze
When and Where Should You Allocate Test-Time Compute in Embodied Planners?

Robotics11 cze
World Pilot Gives Vision-Language-Action Robots a World-Action Model Boost

AI11 cze
New Method Gives Cheap Robot Arms Force Feedback Without Extra Sensors

Humanoid10 cze
Embodied mmWave Radar on Humanoid Robots Enables 24/7 Fall Detection

Robotics10 cze
Bimanual Joining System Lets Wheelchair Robots Call for Backup

Robotics10 cze
TacForeSight Predicts Tactile Feedback From Force Data for Better Robot Handling

AI9 cze
AHA-WAM: Asynchronous World-Action Model for Faster, Smarter Robot Manipulation

Robotics9 cze
How Robots Turn Actions Into Motion and Contact Images for Better World Models

Robotics9 cze
MemoryVLA++ Equips Robots with Memory and Imagination for Complex Tasks

AI8 cze
