Nonprehensile Dynamic Manipulation: A Survey
By Fabio Ruggiero, Vincenzo Lippiello, Bruno Siciliano. 2018
153 citations recorded by the source corpus.
Nonprehensile dynamic manipulation can be reasonably considered as the most complex manipulation task. It might be argued that such a task is still rather far from being fully solved and applied in robotics. This survey tries to collect the results reached so far by the research community about planning and control in the nonprehensile dynamic manipulation domain. A discussion about current open issues is addressed as well.
Subfields: Control and Systems Engineering, Mechanical Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Sergey Levine
- Abhinav Kumar Gupta
- Lerrel Pinto
- Pieter Abbeel
- Chelsea Finn
- Dhiraj Gandhi
- Jitendra Malik
- Shubham Tulsiani
In Mechanical Engineering
Citations in the corpus
- Visual Imitation Made Easy (2020, methodology): “To study the effectiveness of this tool, we focus on two challenging tasks: (a) non-prehensile pushing [12, 13], and (b) prehensile stacking [14, 15].”