4 papers
A Flexible Field-Based Policy Learning Framework for Diverse Robotic Systems and Sensors
Jose Gustavo Buenaventura Carreon, Floris Erich, Roman Mykhailyshyn +3
We present a cross robot visuomotor learning framework that integrates diffusion policy based control with 3D semantic scene representations from D3Fields to enable category level…
AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation
Ryosuke Takanami, Petr Khrapchenkov, Shu Morikuni +32
As robots transition from controlled settings to unstructured human environments, building generalist agents that can reliably follow natural language instructions remains a centra…
Learning Bimanual Manipulation via Action Chunking and Inter-Arm Coordination with Transformers
Tomohiro Motoda, Ryo Hanai, Ryoichi Nakajo +3
Robots that can operate autonomously in a human living environment are necessary to have the ability to handle various tasks flexibly. One crucial element is coordinated bimanual m…
Attention-Guided Integration of CLIP and SAM for Precise Object Masking in Robotic Manipulation
Muhammad A. Muttaqien, Tomohiro Motoda, Ryo Hanai +1
This paper introduces a novel pipeline to enhance the precision of object masking for robotic manipulation within the specific domain of masking products in convenience stores. The…