Summary of Towards Probabilistic Planning Of Explanations For Robot Navigation, by Amar Halilovic et al.
Towards Probabilistic Planning of Explanations for Robot Navigation
by Amar Halilovic, Senka Krivic
First submitted to arxiv on: 26 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach in robotics integrates user-centered design principles into core robot path planning processes, ensuring autonomous systems are comprehensible and accountable to users. The paper proposes a probabilistic framework for automated planning of explanations for robot navigation, modeling user preferences regarding explanations to tailor real-world human-robot interaction and communication of decisions. This enhances transparency of robot path planning and adapts to diverse user explanation needs by anticipating individual user satisfaction. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Robotics research focuses on making autonomous systems understand and explain their actions to humans. A new method combines user-centered design with robot path planning, using probability to plan explanations that satisfy different users’ needs. This makes robots more transparent and accountable in how they move around. |
Keywords
» Artificial intelligence » Probability
