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Mike Allenspach

4 accepted papers

2024

Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies

RSS 2024poster

In real-world industrial environments, modern robots often rely on human operators for crucial decision-making and mission synthesis from individual tasks. Effective and safe collaboration between humans and robots requires systems that can adjust their motion to human intentions, enabling dynamic t…

Cited by 0SourcePDFScholar
2023

A Perching and Tilting Aerial Robot for Precise and Versatile Power Tool Work on Vertical Walls

IROS 2023poster

Drilling, grinding, and setting anchors on vertical walls are fundamental processes in everyday construction work. Manually doing these works is error-prone, potentially dangerous, and elaborate at height. Today, heavy mobile ground robots can perform automatic power tool work. However, aerial vehic…

Cited by 14SourceScholar
2022

Human-State-Aware Controller for a Tethered Aerial Robot Guiding a Human by Physical Interaction

RA-L 2022

With the rapid development of Aerial Physical Interaction, the possibility to have aerial robots physically interacting with humans is attracting a growing interest. In one of our previous works [1], we considered one of the first systems in which a human is physically connected to an aerial vehicle

Cited by 19SourceScholar
2022

Towards 6DoF Bilateral Teleoperation of an Omnidirectional Aerial Vehicle for Aerial Physical Interaction

ICRA 2022poster

Bilateral teleoperation offers an intriguing solution towards shared autonomy with aerial vehicles in contact-based inspection and manipulation tasks. Omnidirectional aerial robots allow for full pose operations, making them particularly attractive in such tasks. Naturally, the question arises wheth…

Cited by 17SourceScholar