Probabilistic Robotics

Thrun, S., Burgard, W., & Fox, D. (2005). Probabilistic Robotics. MIT Press.

Type

Book

Intellectual base

Review or monograph

Year

2005

Link

https://mitpress.mit.edu/9780262201629/probabilistic-robotics/

Cited from

cognitive_science, psychology

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Navigation
  • The robotics insight of simultaneous localization and mapping, that an agent in an unknown environment must update its position estimate and its map together, transferred to onboarding documentation, which is effective precisely when it co-evolves with a new hire's growing map of the system.

    This sourceThe standard treatment of simultaneous localization and mapping (SLAM) — an agent in an unknown environment must update its position estimate and its map together; the source of the co-evolving-map navigation insight.

• Object Permanence
  • Piaget's developmental insight — model unobservable entities as persisting with definite state — moved into robotic perception via Kalman filtering and SLAM, so that modern visual SLAM is in effect engineered object permanence for the environment.

    This sourceStandard reference for SLAM and recursive state estimation, in which Kalman/particle filtering carries persistent state for environment entities through unobserved intervals — engineered object permanence for robotic perception.

• Perception Action Loop
  • Robotics and control. Behavior-based robotics, active perception, visual servoing, and SLAM, where movement creates the map and the map enables further movement; model-predictive control; reafference compensation.

    This sourceStandard reference for SLAM and active perception, where motion builds the map (with a motion model separating egomotion from world change) and the map guides further motion.

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