ARMCHAIR: Integrated Human-Robot Collaboration with Reinforcement Learning and Control
The author presents ARMCHAIR, a novel architecture integrating adversarial inverse reinforcement learning and model predictive control for efficient human-robot collaboration.
iRoCo: Intuitive Robot Control From Smartwatch and Smartphone
The author introduces iRoCo as a framework for intuitive robot control using smartwatches and smartphones, optimizing precise control and user movement. The main thesis is that iRoCo offers a promising approach for ubiquitous human-robot collaboration.
ARMCHAIR: Integrated Inverse Reinforcement Learning and Model Predictive Control for Human-Robot Collaboration
Novel architecture ARMCHAIR leverages adversarial inverse reinforcement learning and model predictive control for efficient human-robot collaboration.
Enhancing Human-Robot Teaming with Bayesian Adaptation
Bayes-POMCP optimizes human-robot team performance through adaptive interventions in mixed-initiative settings.
ARMCHAIR: Integrated Inverse Reinforcement Learning and Model Predictive Control for Human-Robot Collaboration
ARMCHAIR leverages adversarial inverse reinforcement learning and model predictive control to optimize trajectories and decisions for efficient human-robot collaboration.
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