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Dominik Bauer

7 accepted papers

2025

One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies

CoRL 2025poster

Visuomotor policies for manipulation have demonstrated remarkable potential in modeling complex robotic behaviors, yet minor alterations in the robot’s initial configuration and unseen obstacles easily lead to out-of-distribution observations. Without extensive data collection effort, these result i…

Cited by 0SourceScholar
2025

Real2Code: Reconstruct Articulated Objects via Code Generation

ICLR 2025poster

We present Real2Code, a novel approach to reconstructing articulated objects via code generation. Given visual observations of an object, we first reconstruct its part geometry using image segmentation and shape completion. We represent these object parts with oriented bounding boxes, from which a f…

Cited by 9SourcePDFScholar
2022

Contact Transfer: A Direct, User-Driven Method for Human to Robot Transfer of Grasps and Manipulations

ICRA 2022poster

We present a novel method for the direct transfer of grasps and manipulations between objects and hands through utilization of contact areas. Our method fully preserves contact shapes, and in contrast to existing techniques, is not dependent on grasp families, requires no model training or grasp sam…

Cited by 13SourceScholar
2021

Contact Tracing: A Low Cost Reconstruction Framework for Surface Contact Interpolation

IROS 2021poster

We present a novel, low cost framework for reconstructing surface contact movements during in-hand manipulations. Unlike many existing methods focused on hand pose tracking, ours models the behavior of contact patches, and by doing so is the first to obtain detailed contact tracking estimates for mu…

Cited by 5SourceScholar
2021

ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning

CVPR 2021poster

Point cloud registration is a common step in many 3D computer vision tasks such as object pose estimation, where a 3D model is aligned to an observation. Classical registration methods generalize well to novel domains but fail when given a noisy observation or a bad initialization. Learning-based me…

Cited by 67PDFcodeScholar
2020

VeREFINE: Integrating Object Pose Verification With Physics-Guided Iterative Refinement

RA-L 2020

Accurate and robust object pose estimation for robotics applications requires verification and refinement steps. In this work, we propose to integrate hypotheses verification with object pose refinement guided by physics simulation. This allows the physical plausibility of individual object pose est

Cited by 19SourcecodeScholar