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07/08/2023
MARBLER: An Open Platform for Standarized Evaluation of Multi-Robot Reinforcement Learning Algorithms
Multi-agent reinforcement learning (MARL) has enjoyed significant recent...
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05/24/2023
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation
Task allocation can enable effective coordination of multi-robot teams t...
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05/19/2023
Fast Anticipatory Motion Planning for Close-Proximity Human-Robot Interaction
Effective close-proximity human-robot interaction (CP-HRI) requires robo...
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02/21/2023
Inferring Implicit Trait Preferences for Task Allocation in Heterogeneous Teams
Task allocation in heterogeneous multi-agent teams often requires reason...
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01/24/2023
Constrained Reinforcement Learning for Dexterous Manipulation
Existing learning approaches to dexterous manipulation use demonstration...
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09/27/2022
D-ITAGS: A Dynamic Interleaved Approach to Resilient Task Allocation, Scheduling, and Motion Planning
Complex, multi-objective missions require the coordination of heterogene...
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04/15/2022
Evaluating the Effectiveness of Corrective Demonstrations and a Low-Cost Sensor for Dexterous Manipulation
Imitation learning is a promising approach to help robots acquire dexter...
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08/05/2021
An Interleaved Approach to Trait-Based Task Allocation and Scheduling
To realize effective heterogeneous multi-robot teams, researchers must l...
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08/05/2021
Resource-Aware Generalization of Heterogeneous Strategies for Coalition Formation
Existing approaches to coalition formation often assume that requirement...
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08/01/2021
Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation
Multi-robot task allocation (MRTA) problems involve optimizing the alloc...
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06/05/2020
Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization
We address the problem of adapting robot trajectories to improve safety,...
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01/28/2020
Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks
Robot task execution when situated in real-world environments is fragile...
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09/17/2019
Inferring and Learning Multi-Robot Policies by Observing an Expert
In this paper we present a technique for learning how to solve a multi-r...
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03/27/2019
Skill Acquisition via Automated Multi-Coordinate Cost Balancing
We propose a learning framework, named Multi-Coordinate Cost Balancing (...
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03/12/2019
