A Multi-Modal Robotic Gripper with a Reconfigurable Base: Improving Dexterous Manipulation without Compromising Grasping Efficiency

Nathan Elangovan, Lucas Gerez, Geng Gao, Minas V. Liarokapis. A Multi-Modal Robotic Gripper with a Reconfigurable Base: Improving Dexterous Manipulation without Compromising Grasping Efficiency. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021. pages 6124-6130, IEEE, 2021. [doi]

@inproceedings{ElangovanGGL21-0,
  title = {A Multi-Modal Robotic Gripper with a Reconfigurable Base: Improving Dexterous Manipulation without Compromising Grasping Efficiency},
  author = {Nathan Elangovan and Lucas Gerez and Geng Gao and Minas V. Liarokapis},
  year = {2021},
  doi = {10.1109/IROS51168.2021.9636392},
  url = {https://doi.org/10.1109/IROS51168.2021.9636392},
  researchr = {https://researchr.org/publication/ElangovanGGL21-0},
  cites = {0},
  citedby = {0},
  pages = {6124-6130},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1714-3},
}