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07/12/2023
Diffusion Based Multi-Agent Adversarial Tracking
Target tracking plays a crucial role in real-world scenarios, particular...
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04/07/2023
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration
As high-speed, agile robots become more commonplace, these robots will h...
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01/30/2023
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation
As human-robot collaboration increases in the workforce, it becomes esse...
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01/17/2023
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks
Artificial Intelligence is being employed by humans to collaboratively s...
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01/13/2023
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies
Interactive Artificial Intelligence (AI) agents are becoming increasingl...
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12/29/2022
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis
Agile robotics presents a difficult challenge with robots moving at high...
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12/06/2022
Safe Inverse Reinforcement Learning via Control Barrier Function
Learning from Demonstration (LfD) is a powerful method for enabling robo...
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10/07/2022
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings
Federated learning is a training paradigm that learns from multiple dist...
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10/05/2022
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis
Athletics are a quintessential and universal expression of humanity. Fro...
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09/24/2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
Learning from Demonstration (LfD) approaches empower end-users to teach ...
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09/08/2022
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
Recent advances in machine learning have led to growing interest in Expl...
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08/17/2022
Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play
Effective Human-AI teaming requires the ability to communicate the goals...
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07/23/2022
Robots Enact Malignant Stereotypes
Stereotypes, bias, and discrimination have been extensively documented i...
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06/21/2022
Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with Quality-of-Service Guarantees
In recent years, teams of robot and Unmanned Aerial Vehicles (UAVs) have...
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04/08/2022
Do People Trust Robots that Learn in the Home?
It is not scalable for assistive robotics to have all functionalities pr...
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03/23/2022
Learning Efficient Exploration through Human Seeded Rapidly-exploring Random Trees
Modern day computer games have extremely large state and action spaces. ...
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02/14/2022
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration
Learning from Demonstration (LfD) approaches empower end-users to teach ...
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02/04/2022
Learning Interpretable, High-Performing Policies for Continuous Control Problems
Gradient-based approaches in reinforcement learning (RL) have achieved t...
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01/20/2022
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
Information sharing is key in building team cognition and enables coordi...
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10/09/2021
Learning to Follow Language Instructions with Compositional Policies
We propose a framework that learns to execute natural language instructi...
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10/08/2021
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration
Learning from Demonstration (LfD) seeks to democratize robotics by enabl...
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08/21/2021
Heterogeneous Graph Attention Networks for Learning Diverse Communication
Multi-agent teaming achieves better performance when there is communicat...
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01/18/2021
Interpretable Policy Specification and Synthesis through Natural Language and RL
Policy specification is a process by which a human can initialize a robo...
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12/07/2020
A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs)
Learning from demonstration (LfD) is a powerful learning method to enabl...
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12/03/2020
Using Cross-Loss Influence Functions to Explain Deep Network Representations
As machine learning is increasingly deployed in the real world, it is ev...
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10/31/2020
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks
The purpose of this tutorial is to help individuals use the FireCommande...
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10/17/2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
Learning from Demonstration (LfD) seeks to democratize robotics by enabl...
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07/03/2020
Human-Robot Team Coordination with Dynamic and Latent Human Task Proficiencies: Scheduling with Learning Curves
As robots become ubiquitous in the workforce, it is essential that human...
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06/14/2020
Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires
Fighting wildfires is a precarious task, imperiling the lives of engagin...
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01/27/2020
Heterogeneous Learning from Demonstration
The development of human-robot systems able to leverage the strengths of...
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01/02/2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation
Reinforcement learning (RL) has achieved tremendous success as a general...
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12/17/2019
When Your Robot Breaks: Active Learning During Plant Failure
Detecting and adapting to catastrophic failures in robotic systems requi...
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12/04/2019
Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks
Increasing interest in integrating advanced robotics within manufacturin...
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06/14/2019
Personalized Apprenticeship Learning from Heterogeneous Decision-Makers
Human domain experts solve difficult planning problems by drawing on yea...
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03/22/2019
Interpretable Reinforcement Learning via Differentiable Decision Trees
Decision trees are ubiquitous in machine learning for their ease of use ...
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03/16/2019
Safe Coordination of Human-Robot Firefighting Teams
Wildfires are destructive and inflict massive, irreversible harm to vict...
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03/14/2019
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration
For assistive robots and virtual agents to achieve ubiquity, machines wi...
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02/15/2019
ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning
Deep reinforcement learning has seen great success across a breadth of t...
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05/11/2018
