Hybrid Control from Scratch: A Design Methodology for Assured Robotic Missions

04/23/2020
by   Tomás Liendro, et al.
0

Robotic research over the last decades have lead us to different architectures to automatically synthesise discrete event controllers and implement these motion and task plans in real-world robot scenarios. However, these architectures usually build on existing robot hardware, generating as a result solutions that are influenced and/or restricted in their design by the available capabilities and sensors. In contrast to these approaches, we propose a design methodology that, given a specific domain of application, allowed us to build the first end-to-end implementation of an autonomous robot system that uses discrete event controller synthesis to generate assured mission plans. We validate this robot system in several missions of our target domain of application.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/21/2021

Assured Mission Adaptation of UAVs

The design of systems that can change their behaviour to account for sce...
research
06/13/2023

Correct-by-Construction Design of Contextual Robotic Missions Using Contracts

Effectively specifying and implementing robotic missions pose a set of c...
research
02/07/2022

Discrete-Event Controller Synthesis for Autonomous Systems with Deep-Learning Perception Components

We present DEEPDECS, a new method for the synthesis of correct-by-constr...
research
05/09/2022

"The World Is Its Own Best Model": Robust Real-World Manipulation Through Online Behavior Selection

Robotic manipulation behavior should be robust to disturbances that viol...
research
02/17/2018

Robotic design choice overview using co-simulation

Rapid robotic system development sets a demand for multi-disciplinary me...
research
06/05/2019

A Generic Synchronous Dataflow Architecture to Rapidly Prototype and Deploy Robot Controllers

The paper presents a software architecture to optimize the process of pr...
research
09/21/2022

A Data-Centric Methodology and Task Typology for Time-Stamped Event Sequences

Task abstractions and taxonomic structures for tasks are useful for desi...

Please sign up or login with your details

Forgot password? Click here to reset