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Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints
TLDR
We empirically validate Tercio is fast and produces near-optimal solutions for the multi-agent task assignment and scheduling problem with temporal and spatial-proximity constraints. Expand
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Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams
TLDR
We conducted a set of experiments studying the effects of shared decision-making authority in human–robot and human-only teams. Expand
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Computational design of mixed-initiative human–robot teaming that considers human factors: situational awareness, workload, and workflow preferences
TLDR
We investigate the ways in which human factors influence the design of intelligent collaborative robots based on our results. Expand
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Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction
TLDR
This paper examines how people's trust and dependence on robot teammates providing decision support varies as a function of different attributes of the robot, such as perceived anthropomorphism, type of support provided by the robot and its physical presence. Expand
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Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning
TLDR
We provide a derivation of the optimal policy for the MDP in Fig. 2, where s′ is the state resulting from applying action a in state s. Expand
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Learning to Infer Final Plans in Human Team Planning
TLDR
We present a novel learning technique to infer teams’ final plans directly from a processed form of their planning conversation. Expand
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Fast Scheduling of Robot Teams Performing Tasks With Temporospatial Constraints
TLDR
The application of robotics to traditionally manual manufacturing processes requires careful coordination between human and robotic agents in order to support safe and efficient coordinated work. Expand
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Apprenticeship Scheduling: Learning to Schedule from Human Experts
TLDR
We propose a new approach for capturing domain-expert heuristics through a pairwise ranking formulation. Expand
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Coordination of Human-Robot Teaming with Human Task Preferences
TLDR
We report the results of a human-subject experiment investigating how a robotic teammate should best incorporate the preferences of human teammates into the team’s schedule. Expand
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