Simon Armleder

ORCID: 0000-0002-1651-2014
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Teleoperation and Haptic Systems
  • Robot Manipulation and Learning
  • Robotic Path Planning Algorithms
  • EEG and Brain-Computer Interfaces
  • Tactile and Sensory Interactions
  • Virtual Reality Applications and Impacts
  • Muscle activation and electromyography studies
  • Robotic Mechanisms and Dynamics
  • Neural and Behavioral Psychology Studies
  • Mechanics and Biomechanics Studies
  • Neural dynamics and brain function
  • Robotics and Automated Systems
  • Modular Robots and Swarm Intelligence

Technical University of Munich
2021-2025

Fraunhofer Institute for Cognitive Systems
2021-2024

10.1109/hri61500.2025.10973918 article EN 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2025-03-04

This work proposes and realizes a control architecture that can support the deployment of large‐scale robot skin in Human‐Robot Collaboration scenario. It is shown, how whole‐body tactile feedback extend capabilities robots during dynamic interactions by providing information about multiple contacts across robot's surface. Specifically, an uncalibrated system used to implement stable force while simultaneously handling multi‐contact user. The formulates tasks for control, guidance, collision...

10.1002/aisy.202100047 article EN Advanced Intelligent Systems 2021-07-15

Human-robot interaction (HRI) describes scenarios in which both human and robot work as partners, sharing the same environment or complementing each other on a joint task. HRI is characterized by need for high adaptability flexibility of robotic systems toward their partners. One major challenges task planning with dynamic subtask assignment, particularly challenging when choices are not readily accessible robot. In present work, we explore feasibility using electroencephalogram (EEG) based...

10.1371/journal.pone.0287958 article EN cc-by PLoS ONE 2023-07-11

Traditional robot navigation passively plans/replans to avoid any contact with obstacles in the scene. This limits obtained solutions collision‐free space and leads failures if path goal is obstructed. In contrast, humans actively modify their environment by repositioning objects it assists locomotion. article aims bring robots closer such abilities providing a framework detect clear movable continue navigation. The approach leverages multimodal skin that provides both local proximity...

10.1002/aisy.202300621 article EN cc-by Advanced Intelligent Systems 2024-01-16

10.1109/iros58592.2024.10801317 article EN 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024-10-14
Coming Soon ...