Robotska percepcija

С Википедије, слободне енциклопедије

Robotska percepcija je podoblast nauke o robotici koja ima za cilj da obezbedi senzorske sposobnosti robotima. Robotska percepcija pruža robotima mogućnost da osete svoje okruženje i obično se koristi kao povratna informacija kako bi se robotima omogućilo da prilagode svoje ponašanje na osnovu senzornog unosa. Robotska percepcija uključuje mogućnost da se vidi,[1][2][3] dodiruje,[4][5][6] čuje[7] i pomera[8][9][10] i povezane algoritme za obradu i korišćenje povratnih informacija o životnoj sredini i senzornih podataka. Ona je važna u aplikacijama kao što su automatizacija vozila, robotska protetika i za industrijske, medicinske, zabavne i obrazovne robote.

Reference[уреди | уреди извор]

  1. ^ Roh SG, Choi HR (Jan 2009). "3-D Tag-Based RFID System for Recognition of Object." IEEE Transactions on Automation Science and Engineering 6 (1): 55–65.
  2. ^ Arivazhagan S, Ganesan L, Kumar TGS (Jun 2009). "A modified statistical approach for image fusion using wavelet transform." Signal Image and Video Processing 3 (2): 137-144.
  3. ^ Jafar FA, et al (Mar 2011). "An Environmental Visual Features Based Navigation Method for Autonomous Mobile Robots." International Journal of Innovative Computing, Information and Control 7 (3): 1341-1355.
  4. ^ Anderson S, et al (Dec 2010). "Adaptive Cancelation of Self-Generated Sensory Signals in a Whisking Robot." IEEE Transactions on Robotics 26 (6): 1065-1076.
  5. ^ Kim YM, et al (Aug 2010)."A Robust Online Touch Pattern Recognition for Dynamic Human-robot Interaction." IEEE Transactions on Consumer Electronics 56 (3): 1979-1987.
  6. ^ Mazzini F, et al (Feb 2011). "Tactile Robotic Mapping of Unknown Surfaces, with Application to Oil Wells." IEEE Transactions on Instrumentation and Measurement 60 (2): 420-429.
  7. ^ Matsumoto M, Hashimoto S (2010). "Internal Noise Reduction Using Piezoelectric Device under Blind Condition." Internatl (Jan 2011). "Searching for the most important feature types signalling emotion-related user states in speech." Computer Speech and Language 25 (1): 4-28.
  8. ^ Lund K, et al (May 2010). "Molecular robots guided by prescriptive landscapes." Nature 465 (7295): 206-210.
  9. ^ Trejos AL, et al (Sep 2009). "Robot-assisted Tactile Sensing for Minimally Invasive Tumor Localization." International Journal of Robotics Research 28 (9): 1118-1133.
  10. ^ Czyzowicz J, Labourel A, Pelc A (Jan 2011). "Optimality and Competitiveness of Exploring Polygons by Mobile Robots." Information and Computation 209 (1): 74-88.

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