Joseph Campbell | DeepAI

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Heni Ben Amor
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Mariano Phielipp
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Simon Stepputtis
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∙ 09/19/2023

Explaining Agent Behavior with Large Language Models

Intelligent agents such as robots are increasingly deployed in real-worl...

0 Xijia Zhang, et al. ∙

∙ 08/19/2023

Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters

This paper introduces a novel state estimation framework for robots usin...

0 Xiao Liu, et al. ∙

∙ 07/03/2023

Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning

The ability to model the mental states of others is crucial to human soc...

0 Ini Oguntola, et al. ∙

∙ 06/21/2023

Introspective Action Advising for Interpretable Transfer Learning

Transfer learning can be applied in deep reinforcement learning to accel...

0 Joseph Campbell, et al. ∙

∙ 05/25/2023

Characterizing Out-of-Distribution Error via Optimal Transport

Out-of-distribution (OOD) data poses serious challenges in deployed mach...

0 Yuzhe Lu, et al. ∙

∙ 02/23/2023

Concept Learning for Interpretable Multi-Agent Reinforcement Learning

Multi-agent robotic systems are increasingly operating in real-world env...

0 Renos Zabounidis, et al. ∙

∙ 02/10/2023

Predicting Out-of-Distribution Error with Confidence Optimal Transport

Out-of-distribution (OOD) data poses serious challenges in deployed mach...

0 Yuzhe Lu, et al. ∙

∙ 12/03/2022

Learning and Blending Robot Hugging Behaviors in Time and Space

We introduce an imitation learning-based physical human-robot interactio...

0 Michael Drolet, et al. ∙

∙ 11/15/2022

Explainable Action Advising for Multi-Agent Reinforcement Learning

Action advising is a knowledge transfer technique for reinforcement lear...

0 Yue Guo, et al. ∙

∙ 11/13/2020

Learning Predictive Models for Ergonomic Control of Prosthetic Devices

We present Model-Predictive Interaction Primitives – a robot learning fr...

0 Geoffrey Clark, et al. ∙

∙ 10/22/2020

Language-Conditioned Imitation Learning for Robot Manipulation Tasks

Imitation learning is a popular approach for teaching motor skills to ro...

0 Simon Stepputtis, et al. ∙

∙ 05/26/2020

Learning Whole-Body Human-Robot Haptic Interaction in Social Contexts

This paper presents a learning-from-demonstration (LfD) framework for te...

3 Joseph Campbell, et al. ∙

∙ 11/26/2019

Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration

In this work we propose a novel end-to-end imitation learning approach w...

0 Simon Stepputtis, et al. ∙

∙ 09/16/2019

Multimodal Dataset of Human-Robot Hugging Interaction

A hug is a tight embrace and an expression of warmth, sympathy and camar...

0 Kunal Bagewadi, et al. ∙

∙ 08/15/2019

Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives

Musculoskeletal robots that are based on pneumatic actuation have a vari...

0 Joseph Campbell, et al. ∙

∙ 08/14/2019

Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks

Human-robot interaction benefits greatly from multimodal sensor inputs a...

0 Joseph Campbell, et al. ∙

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