Summary of Towards Bridging the Gap Between High-level Reasoning and Execution on Robots, by Till Hofmann
Towards Bridging the Gap between High-Level Reasoning and Execution on Robots
by Till Hofmann
First submitted to arxiv on: 30 Dec 2023
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 In this paper, researchers aim to bridge the gap between high-level action planning and low-level robot execution by proposing various approaches to tackle the complexities involved. They argue that abstract action modeling, commonly used in task planning or agent programming with Golog, is insufficient when executing actions on robots due to issues like noisy sensing results and timing constraints. The authors focus on developing methods to address these challenges and provide a more realistic representation of robot action execution. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research paper talks about how we plan for robots to do tasks, but it’s missing something important – the actual process of making the robot do those tasks. Right now, we treat actions like picking up an object as simple steps that always work perfectly. But in reality, it’s a lot more complicated. The robot might not see things clearly or get what it wants every time. This paper tries to fix that by coming up with new ways for robots to do their jobs better. |
