Papers
7
Total Citations
44
H-Index
3
About
Simon Armleder is an emerging robotics researcher whose work sits at the intersection of physical human-robot interaction, tactile sensing, and intelligent robot control. His research consistently addresses one of the field's most pressing challenges: enabling robots to operate safely and effectively alongside humans in complex, unstructured environments. Armleder's most impactful contribution to date is his 2021 work on interactive force control using multimodal robot skin (24 citations), which demonstrated how whole-body tactile feedback can dramatically extend robotic capabilities during dynamic human-robot collaboration. This foundational work has since evolved into increasingly sophisticated systems, including tactile-based dual-arm manipulation and real-time whole-body tactile control for humanoid robots. Beyond tactile sensing, Armleder has broadened his research scope to encompass brain-computer interfaces for anticipatory task planning, RNN-based visual guidance for teleoperation, and deep learning approaches to bimanual coordinated motion. His 2023 paper on anticipatory brain responses in human-robot collaborative planning (9 citations) highlights his interest in bridging neuroscience and robotics to create more adaptive, human-aware systems. Collectively, Armleder's growing body of work, accumulating over 44 citations across just a few years, reflects a researcher steadily building toward a comprehensive vision of robots that perceive, adapt, and collaborate as genuine partners in human environments.
Research Focus
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Top Papers
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- 7Real‐Time Control of a Humanoid Robot for Whole‐Body Tactile Interaction1 citations · 2025