activity
20232025
most citedProbabilistic Differentiable Filters Enable Ubiquitous Robot Control with Smartwatches

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.RO2025

Towards Data-Driven Adaptive Exoskeleton Assistance for Post-stroke Gait

Fabian C. Weigend, Dabin K. Choe, Santiago Canete +1

Recent work has shown that exoskeletons controlled through data-driven methods can dynamically adapt assistance to various tasks for healthy young adults. However, applying these m…

cs.RO2024

SiSCo: Signal Synthesis for Effective Human-Robot Communication Via Large Language Models

Shubham Sonawani, Fabian Weigend, Heni Ben Amor

Effective human-robot collaboration hinges on robust communication channels, with visual signaling playing a pivotal role due to its intuitive appeal. Yet, the creation of visually…

cs.RO2024

Ubiquitous Robot Control Through Multimodal Motion Capture Using Smartwatch and Smartphone Data

Fabian C Weigend, Neelesh Kumar, Oya Aran +1

We present an open-source library for seamless robot control through motion capture using smartphones and smartwatches. Our library features three modes: Watch Only Mode, enabling…

cs.RO2024

Enabling Stateful Behaviors for Diffusion-based Policy Learning

Xiao Liu, Fabian Weigend, Yifan Zhou +1

While imitation learning provides a simple and effective framework for policy learning, acquiring consistent actions during robot execution remains a challenging task. Existing app…

cs.RO2024

iRoCo: Intuitive Robot Control From Anywhere Using a Smartwatch

Fabian C Weigend, Xiao Liu, Shubham Sonawani +3

This paper introduces iRoCo (intuitive Robot Control) - a framework for ubiquitous human-robot collaboration using a single smartwatch and smartphone. By integrating probabilistic…

cs.RO20231 cited

Probabilistic Differentiable Filters Enable Ubiquitous Robot Control with Smartwatches

Fabian C Weigend, Xiao Liu, Heni Ben Amor

Ubiquitous robot control and human-robot collaboration using smart devices poses a challenging problem primarily due to strict accuracy requirements and sparse information. This pa…