An analysis of RelaxedIK: an optimization-based framework for generating accurate and feasible robot arm motions

Daniel Rakita, Bilge Mutlu, Michael Gleicher. An analysis of RelaxedIK: an optimization-based framework for generating accurate and feasible robot arm motions. Auton. Robots, 44(7):1341-1358, 2020. [doi]

@article{RakitaMG20-0,
  title = {An analysis of RelaxedIK: an optimization-based framework for generating accurate and feasible robot arm motions},
  author = {Daniel Rakita and Bilge Mutlu and Michael Gleicher},
  year = {2020},
  doi = {10.1007/s10514-020-09918-9},
  url = {https://doi.org/10.1007/s10514-020-09918-9},
  researchr = {https://researchr.org/publication/RakitaMG20-0},
  cites = {0},
  citedby = {0},
  journal = {Auton. Robots},
  volume = {44},
  number = {7},
  pages = {1341-1358},
}