How to evaluate robotics behaviors?
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Evaluation of robot behaviors can be done using various stimuli such as photos, videos, and live interaction . These stimuli help in understanding how and why they affect perceptions and how evaluations using lower fidelity media (e.g., photos) compare to higher context stimuli (e.g., videos) . In addition to stimuli, monitoring strategies and feedback on behavior quality are important for evaluating robot behaviors . Self-assessment mechanisms, such as online novelty detection algorithms and neural predictors, can be used to evaluate navigation strategies and measure the quality of sensorimotor contingencies . Human-robot teaming can be improved by ensuring that robot actions meet human expectations, such as navigating with awareness of the environment and demonstrating a sense of self-safety . Furthermore, automatic coding methods can be used to provide accurate and objective evaluation of human-robot interaction experiments, eliminating the need for manual human work in the coding process .
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12 Jul 2021 3 Citations | The paper proposes using automatic coding as a method to evaluate robotics behaviors in Human-Robot Interaction experiments. This method aims to provide accurate and objective evaluation without the need for manual human work. |
| The paper explains that to evaluate robot behavior, modeling and simulation of the robot's structure and task capability is performed. The simulation results are then compared to the real robot execution for validation. Adjustments are made to fine-tune the simulation parameters for a more realistic performance. | |
01 Mar 2018 3 Citations | The paper discusses evaluating robot behavior in response to natural language. It suggests that robot behavior can be evaluated by analyzing how well it meets human expectations in a series of tasks. |
08 Jun 2013 | The paper proposes a neural model for self-assessment in robots, which evaluates the quality of their behaviors based on prediction errors from unexpected events. |
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