This book is concerned with planning and acting under uncertainty in partiallyobservable continuous domains. It focusses on the problem of mobile robot navigation given a known map. The dominant paradigm for robot localisation is to use Bayesian estimation to maintain a probability distribution over possible robot poses. In contrast, control algorithms often base their decisions on the assumption that the most likely state is correct, rather than considering the entire distribution. This book formulates an approach to planning in the space of continuous parameterised approximations to probability distributions. Theoretical and practical results are presented which show that, when compared with similar methods from the literature, this approach is capable of scaling to larger and more realistic problems. The algorithms have been implemented and demonstrated during realtime control of a mobile robot in a challenging navigation task. Results show that this approach produces significantly more robust behaviour when compared with heuristic planners which consider only the most likely states and outcomes.
Binding: Paperback;216 pages; Publisher: KS OmniScriptum Publishing; Classification: N/A; Weight: 444.77 g; Dimensions: N/A
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This book is concerned with planning and acting under uncertainty in partiallyobservable continuous domains. It focusses on the problem of mobile robot navigation given a known map. The dominant paradigm for robot localisation is to use Bayesian estimation to maintain a probability distribution over possible robot poses. In contrast, control algorithms often base their decisions on the assumption that the most likely state is correct, rather than considering the entire distribution. This book formulates an approach to planning in the space of continuous parameterised approximations to probability distributions. Theoretical and practical results are presented which show that, when compared with similar methods from the literature, this approach is capable of scaling to larger and more realistic problems. The algorithms have been implemented and demonstrated during realtime control of a mobile robot in a challenging navigation task. Results show that this approach produces significantly more robust behaviour when compared with heuristic planners which consider only the most likely states and outcomes.
Binding: Paperback;216 pages; Publisher: KS OmniScriptum Publishing; Classification: N/A; Weight: 444.77 g; Dimensions: N/A
Free Delivery For A Year With Unlimited Delivery For £14.99
Super Saver Delivery
£2.99
Standard Delivery
£3.99
Express Delivery
£5.99
Next Day Delivery
£6.99
24/7 InPost Locker | Shop Collect
£2.49
Evri ParcelShop
£3.99
Evri ParcelShop | Next Day Delivery
£5.99
Premium DPD Next Day Delivery
£6.99
Bulky Item Delivery
£4.99
Northern Ireland Super Saver Delivery
£2.99
Northern Ireland Standard Delivery
£4.99
Northern Ireland Express Delivery
£5.99
Unlimited Delivery
£14.99
Please note, some delivery methods are not available for products delivered by our brand partners & they may have longer delivery times.
Something not quite right? You have 21 days from the day you receive it, to send something back.
Please note, we cannot offer refunds on fashion face masks, cosmetics, pierced jewellery, adult toys, and swimwear or lingerie if the hygiene seal is not in place or has been broken.
Items of footwear and/or clothing must be unworn and unwashed with the original labels attached. Also, footwear must be tried on indoors. Items of homeware including bedlinen, mattresses, and toppers, and pillows must be unused and in their original unopened packaging. This does not affect your statutory rights.
Click here to view our full Returns Policy.
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