@article{1467883,
      recid = {1467883},
      author = {Corke, Peter I.,},
      title = {Robotics, vision and control : fundamental algorithms in  Python /},
      publisher = {Springer,},
      address = {Cham :},
      pages = {1 online resource (836 p.).},
      year = {2023},
      abstract = {This textbook provides a comprehensive, but tutorial,  introduction to robotics, computer vision, and control. It  is written in a light but informative conversational style,  weaving text, figures, mathematics, and lines of code into  a narrative that covers robotics and computer  visionseparately, and together as robotic vision. Over 1600  code examples show how complex problems can be decomposed  and solved using just a few simple lines of code. This  edition is based on Python and is accompanied by fully  open-source Python-based Toolboxes for robotics and machine  vision. The new Toolboxes enable the reader to easily bring  the algorithmic concepts into practice and work with real,  non-trivial, problems on a broad range of computing  platforms. For the beginning student the book makes the  algorithms accessible, the Toolbox code can be read to gain  understanding, and the examples illustrate how it can be  used. The code can also be the starting point for new work,  for practitioners, students, or researchers, by writing  programs based on Toolbox functions, or modifying the  Toolbox code itself.},
      url = {http://library.usi.edu/record/1467883},
      doi = {https://doi.org/10.1007/978-3-031-06469-2},
}