1 citations · 3 across the 11 of their papers we have counts for
11 papers
Repairing Neural Networks for Safety in Robotic Systems using Predictive Models
Keyvan Majd, Geoffrey Clark, Georgios Fainekos +1
This paper introduces a new method for safety-aware robot learning, focusing on repairing policies using predictive models. Our method combines behavioral cloning with neural netwo…
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…
A Comparison of Imitation Learning Algorithms for Bimanual Manipulation
Michael Drolet, Simon Stepputtis, Siva Kailas +4
Amidst the wide popularity of imitation learning algorithms in robotics, their properties regarding hyperparameter sensitivity, ease of training, data efficiency, and performance h…
Multimodal Learning of Soft Robot Dynamics using Differentiable Filters
Xiao Liu, Yifan Zhou, Shuhei Ikemoto +1
Differentiable Filters, as recursive Bayesian estimators, possess the ability to learn complex dynamics by deriving state transition and measurement models exclusively from data. T…
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…
Projecting Robot Intentions Through Visual Cues: Static vs. Dynamic Signaling
Shubham Sonawani, Yifan Zhou, Heni Ben Amor
Augmented and mixed-reality techniques harbor a great potential for improving human-robot collaboration. Visual signals and cues may be projected to a human partner in order to exp…