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Michael Görner

7 accepted papers

2024

Pluck and Play: Self-supervised Exploration of Chordophones for Robotic Playing

ICRA 2024poster

Existing robotic musicians utilize detailed handcrafted instrument models to generate or learn policies for playing because model-free or inaccurate policy rollouts might easily damage or wear out fragile instruments. We introduce an approach to characterize geometric models of chordophones and thei…

Cited by 0SourceScholar
2024

Sensor-agnostic Visuo-Tactile Robot Calibration Exploiting Assembly-Precision Model Geometries

IROS 2024poster

Visual sensor modalities dominate traditional robot calibration, but when environment contacts are relevant, the tactile modality can provide another natural, accurate, and highly relevant modality. Most existing tactile sensing methods for robot calibration are constrained to specific sensor-object…

Cited by 0SourceScholar
2020

Learning Local Planners for Human-aware Navigation in Indoor Environments

IROS 2020poster

Established indoor robot navigation frameworks build on the separation between global and local planners. Whereas global planners rely on traditional graph search algorithms, local planners are expected to handle driving dynamics and resolve minor conflicts. We present a system to train neural-netwo…

Cited by 89SourceScholar
2019

MoveIt! Task Constructor for Task-Level Motion Planning

ICRA 2019poster

A lot of motion planning research in robotics focuses on efficient means to find trajectories between individual start and goal regions, but it remains challenging to specify and plan robotic manipulation actions which consist of multiple interdependent subtasks. The Task Constructor framework we pr…

Cited by 151SourcecodeScholar
2019

PointNetGPD: Detecting Grasp Configurations from Point Sets

ICRA 2019poster

In this paper, we propose an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud. Compared to recent grasp evaluation metrics that are based on handcrafted depth features and a convolutional neural network (CNN),…

Cited by 444SourcecodeScholar
2019

Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network

ICRA 2019poster

In this paper, we present TeachNet, a novel neural network architecture for intuitive and markerless vision-based teleoperation of dexterous robotic hands. Robot joint angles are directly generated from depth images of the human hand that produce visually similar robot hand poses in an end-to-end fa…

Cited by 120SourceScholar
2018

Comparison of Multimodal Heading and Pointing Gestures for Co-Located Mixed Reality Human-Robot Interaction

IROS 2018poster

Mixed reality (MR)opens up new vistas for human-robot interaction (HRI)scenarios in which a human operator can control and collaborate with co-located robots. For instance, when using a see-through head-mounted-display (HMD)such as the Microsoft HoloLens, the operator can see the real robots and add…

Cited by 90SourceScholar