2 citations · 3 across the 4 of their papers we have counts for
5 papers
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters
Xiao Liu, Geoffrey Clark, Joseph Campbell +2
This paper introduces a novel state estimation framework for robots using differentiable ensemble Kalman filters (DEnKF). DEnKF is a reformulation of the traditional ensemble Kalma…
Multimodal Dataset of Human-Robot Hugging Interaction
Kunal Bagewadi, Joseph Campbell, Heni Ben Amor
A hug is a tight embrace and an expression of warmth, sympathy and camaraderie. Despite the fact that a hug often only takes a few seconds, it is filled with details and nuances an…
Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives
Joseph Campbell, Arne Hitzmann, Simon Stepputtis +3
Musculoskeletal robots that are based on pneumatic actuation have a variety of properties, such as compliance and back-drivability, that render them particularly appealing for huma…
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks
Joseph Campbell, Simon Stepputtis, Heni Ben Amor
Human-robot interaction benefits greatly from multimodal sensor inputs as they enable increased robustness and generalization accuracy. Despite this observation, few HRI methods ar…
From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion
Kevin Sebastian Luck, Joseph Campbell, Michael Andrew Jansen +2
We present a methodology for fast prototyping of morphologies and controllers for robot locomotion. Going beyond simulation-based approaches, we argue that the form and function of…