10 citations · 11 across the 11 of their papers we have counts for
11 papers
Peg-in-Bench: A Modular Benchmark for High-Precision Robotic Insertion
Yosel Delgado, José G. Buenaventura-Carreón, Floris Erich +4
High-precision insertion remains a fundamental challenge in robotic manipulation due to the strict alignment requirements and contact-rich interactions involved. Although peg-in-ho…
Non-Prehensile Throwing: A Reinforcement Learning Perspective
Abdullah Mustafa, Ryo Hanai, Ixchel G. Ramirez-Alpizar +4
Robotic throwing enables fast object transport and extends a robot's reachable workspace beyond traditional pick-and-place. While prehensile (grasp-based) throwing works well for g…
Learning to Predict Contact Force Distributions from Vision Leveraging Object Geometry Priors
Ryo Hanai, Yukiyasu Domaea, Ixchel G. Ramirez-Alpizar +3
Based on vision and prior experience, humans can make rough physical predictions and adjust their manipulation strategies. This paper aims to endow robots with a similar ability. T…
YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale
Takehiko Ohkawa, Jumpei Arima, Yuki Noguchi +16
We introduce Yielding Universal Bidigital Interface (YUBI), a finger-aligned gripper designed to enable intuitive, ergonomic, and scalable data collection for bimanual dexterous ma…
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…
NeuralMeshing: Complete Object Mesh Extraction from Casual Captures
Floris Erich, Naoya Chiba, Abdullah Mustafa +4
How can we extract complete geometric models of objects that we encounter in our daily life, without having access to commercial 3D scanners? In this paper we present an automated…
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…
Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised Models
Abdullah Mustafa, Ryo Hanai, Ixchel Ramirez +4
Unlike quasi-static robotic manipulation tasks like pick-and-place, dynamic tasks such as non-prehensile manipulation pose greater challenges, especially for vision-based control.…
PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset Generation
Lukas Meyer, Floris Erich, Yusuke Yoshiyasu +3
We introduce Physically Enhanced Gaussian Splatting Simulation System (PEGASUS) for 6DOF object pose dataset generation, a versatile dataset generator based on 3D Gaussian Splattin…
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields
Floris Erich, Naoya Chiba, Yusuke Yoshiyasu +3
We present NeuralLabeling, a labeling approach and toolset for annotating 3D scenes using either bounding boxes or meshes and generating segmentation masks, affordance maps, 2D bou…
A Systematic Literature Review of Experiments in Socially Assistive Robotics using Humanoid Robots
Floris Erich, Masakazu Hirokawa, Kenji Suzuki
We perform a Systematic Literature Review to discover how Humanoid robots are being applied in Socially Assistive Robotics experiments. Our search returned 24 papers, from which 16…