TRENDS AND KEY TECHNOLOGIES IN ADAPTIVE ROBOT CONTROL

Mualliflar

  • Zamira Allamuratova ##default.groups.name.author##
  • Bakhtiyor Faiziev ##default.groups.name.author##

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adaptive robot##common.commaListSeparator## robotic systems##common.commaListSeparator## acoustic sensors##common.commaListSeparator## autonomy

Annotatsiya

This article explores the current trends and enabling technologies in the field of adaptive control for robotic systems. It discusses the shift toward intelligent, learning-based approaches, the integration of artificial intelligence, and the emergence of hybrid control architectures. Key technologies that support reliable robot behavior in uncertain and dynamic environments are presented. The paper also outlines future prospects and challenges for research and implementation.

##submission.authorBiographies##

  • Zamira Allamuratova

    Head of the Department of Scientific Research, Innovation, and Training of Scientific and Pedagogical Personnel. Joint Belarusian-Uzbek Intersectoral Institute of Applied Technical Qualifications in Tashkent 

  • Bakhtiyor Faiziev

     Student of the "Engineering Systems" Faculty of Joint Belarusian-Uzbek Intersectoral Institute of Applied Technical Qualifications in Tashkent 

##submission.citations##

1. Sutton R. S., Barto A. G. Reinforcement Learning: An Introduction. MIT Press, 2018.

2. Kormushev P. et al. "Robot learning by demonstration using automatically extracted task constraints." Autonomous Robots, 2011.

3. Siciliano B., Khatib O. (Eds). Springer Handbook of Robotics. Springer, 2016.

4. Spong M. W., Hutchinson S., Vidyasagar M. Robot Modeling and Control. Wiley, 2005.

5. Levine S. et al. “End-to-end training of deep visuomotor policies.” JMLR, 2016.

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##submissions.published##

2025-07-29

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