{"product_id":"9780262201629","title":"Probabilistic Robotics","description":"\u003cdiv\u003e\n\u003cp\u003eThis is a rigorous non-fiction guide for robotics software developers, researchers, and engineers who want to build perception and control systems that work reliably in the real world. Grounded in mathematical statistics, it introduces a cohesive set of probabilistic techniques that give robots a robust understanding of their environment and decisions. The book targets readers with technical curiosity and a desire for hands-on, implementable methods, delivering a balanced tone that is both precise and accessible.\u003c\/p\u003e \u003cp\u003eThe content is organized around a single mathematical foundation, with each chapter offering practical pseudo-code, detailed derivations, and practitioner-focused discussions, plus substantial exercises and class projects. An accompanying online site expands the material with extra resources, code, and examples to reinforce learning.\u003c\/p\u003e \u003cp\u003eFor learners, core concepts such as state estimation, sensor fusion, and planning under uncertainty are presented with concrete examples and real-world sensor data contexts. The explanations emphasize accessible learning, progressing from fundamental ideas to ready-to-implement algorithms, with exercises designed to build confidence at each step. For researchers and engineers, the material supports rigorous reasoning about robustness and performance in noisy environments.\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eAlgorithmic techniques explained with formal derivations and practical pseudocode\u003c\/li\u003e\n\u003cli\u003eHands-on exercises and class projects to apply concepts to real data\u003c\/li\u003e\n\u003cli\u003eFocus on perception and control under uncertainty using statistical foundations\u003c\/li\u003e\n\u003cli\u003eClear, practitioner-focused explanations bridging theory and real-world sensor data\u003c\/li\u003e\n\u003cli\u003eCompanion online resources with extra materials and code samples\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eAfter finishing, readers gain a solid toolkit for designing robust perception and control systems, enhanced confidence in handling noisy sensor data, and a deeper appreciation for probabilistic reasoning in robotics. The work supports ongoing research, development, and innovation in the field, leaving readers ready to tackle real-world challenges with curiosity and rigor.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Crossword.in","offers":[{"title":"Default Title","offer_id":48540550660313,"sku":"9780262201629","price":9192.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0648\/3066\/9017\/files\/71-F1_2p7lL._SL1500.jpg?v=1780079273","url":"https:\/\/www.crossword.in\/products\/9780262201629","provider":"Crossword.in ","version":"1.0","type":"link"}