Task-level planning of pick-and-place robot motions
By Tomas Lozano-Perez, Joe L. Jones, E. Mazer, Patrick A. O'Donnell. 1989
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sergey Levine
- Pieter Abbeel
- Chelsea Finn
- Abhinav Kumar Gupta
- Yoshua Bengio
- Trevor Darrell
- Lerrel Pinto
- Ruslan Salakhutdinov
Citations in the corpus
- An Algorithmic Perspective on Imitation Learning (2018, background): “This kind of high level motion planning is known as task-level planning [Lozano-Perez et al., 1989, Ekvall and Kragic, 2008, Cambon et al., 2009, Lagriffoul et al., 2014].”
- The Curious Robot: Learning Visual Representations via Physical Interactions (2016, background): “Most work in this area has focused on using analytical methods and 3D reasoning for predicting grasp locations and configurations [17,18,19,20] but assume the availability of complete physical knowledge of the objects.”
- Learning to Manipulate Deformable Objects without Demonstrations (2019, background): “The pick and place action space has had a rich history in planning with rigid objects [25], [59].”
- Autonomously Acquiring Instance-Based Object Models from Experience (2015, background): “Pick-and-place has been studied since the early days of robotics [2, 23].”