Chains of Integrators as a Benchmark for Scalability of Hybrid Control Synthesis

ARCH@CPSWeek Pub Date : 2017-02-01 DOI:10.29007/sqlx
S. Livingston, Vasumathi Raman
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引用次数: 0

Abstract

Formal methods refers broadly to techniques for the verification and automatic synthesis of transition systems that satisfy desirable properties exactly or within some statistical tolerance. Though historically developed for concurrent software, recent work has brought these methods to bear on motion planning in robotics. Challenges specific to robotics, such as uncertainty and real-time constraints, have motivated extensions to existing methods and entirely novel treatments. However, compared to other areas within robotics research, demonstrations of formal methods have been surprisingly smallscale. The proposed benchmark seeks to motivate advancement of the state of the art toward practical realization by testing scalability of existing tools, and motivating improvements.
作为混合控制综合可扩展性基准的积分器链
形式方法广泛地指用于验证和自动合成完全满足期望性质或在某些统计公差范围内的过渡系统的技术。虽然历史上是为并发软件开发的,但最近的工作已将这些方法应用于机器人的运动规划。机器人技术特有的挑战,如不确定性和实时限制,促使现有方法的扩展和全新的治疗方法。然而,与机器人研究的其他领域相比,正式方法的演示规模令人惊讶地小。所建议的基准旨在通过测试现有工具的可伸缩性,并激励改进,来推动技术向实际实现的发展。
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