Refine
Year of publication
Document Type
- Article (65)
- Conference Proceeding (59)
- Part of a Book (6)
- Book (2)
Language
- English (132) (remove)
Keywords
- Anomaly detection (1)
- Automation (1)
- Autonomous mobile robots (1)
- Benchmark (1)
- Computational modeling (1)
- Control (1)
- Datasets (1)
- GPU (1)
- Heuristic algorithms (1)
- Industry 4.0 (1)
- Lidar (1)
- Mpc (1)
- Multi-robot systems (1)
- Navigation (1)
- Neural networks (1)
- Path-following (1)
- Process optimization (1)
- Quality control (1)
- RoboCup (1)
- Self-driving (1)
- Smart factory (1)
- autonomous driving (1)
- do-it-yourself (1)
- education (1)
- embedded hardware (1)
- information systems (1)
- model-predictive control (1)
- sensor networks (1)
Reasoning with Qualitative Positional Information for Domestic Domains in the Situation Calculus
(2011)
Many tasks for autonomous agents or robots are best described by a specification of the environment and a specification of the available actions the agent or robot can perform. Combining such a specification with the possibility to imperatively program a robot or agent is what we call the actionbased imperative programming. One of the most successful such approaches is Golog. In this paper, we draft a proposal for a new robot programming language YAGI, which is based on the action-based imperative programming paradigm. Our goal is to design a small, portable stand-alone YAGI interpreter. We combine the benefits of a principled domain specification with a clean, small and simple programming language, which does not exploit any side-effects from the implementation language. We discuss general requirements of action-based programming languages and outline YAGI, our action-based language approach which particularly aims at embeddability.