Projects per year
Abstract
This research preview paper introduces an adaptive path planning framework for robotic mission execution in assistive-care applications. The framework provides a graph-based environment modelling approach, with dynamic path finding performed using Dijkstra's algorithm. A predictive module that uses probabilistic model checking is applied to estimate the human's movement through the environment, allowing run-time re-planning of the robot's path. We illustrate the use of the framework for a simulated assistive-care case study in which a mobile robot navigates through the environment and monitors an end user with mild physical or cognitive impairments.
Original language | English |
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Title of host publication | Fourth Workshop on Formal Methods for Autonomous Systems |
Number of pages | 9 |
Publication status | Accepted/In press - 2022 |
Projects
- 1 Finished
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Resilient Integration of AI Perception into Trustworthy Autonomous Systems
1/10/21 → 31/03/22
Project: Research project (funded) › Research