Planetary micro-rover operations on Mars using a Bayesian framework for inference and control
- Submitting institution
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University of York
- Unit of assessment
- 12 - Engineering
- Output identifier
- 62957648
- Type
- D - Journal article
- DOI
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10.1016/j.actaastro.2015.12.019
- Title of journal
- Acta Astronautica
- Article number
- -
- First page
- 295
- Volume
- 120
- Issue
- -
- ISSN
- 0094-5765
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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2
- Research group(s)
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B - Intelligent Systems and Nano-Science
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A fundamentally new methodology is introduced for producing robotic behaviours, though Bayesian Network Inference within a planetary rover. Based on Bayesian Robot Programming (BRP) by Lebeltel and Bessiere at INRIA, this simplifies implementation, prevents crashes or single-event upsets, and is applicable to new stochastic digital circuits from MIT CSAIL (Mansinghka, Jonas, and Tenenbaum, 2008) and FPGA-accelerated inference circuits in development at CNRS (Coninx, Bessiere, Mazer, 2016). This work led to a PhD at York which is developing a self-programming inference system.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -