Vision-based control of a quadrotor for perching on lines
By Kartik Mohta, Vijay R. Kumar, Kostas Daniilidis. 2014
40 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Robotics & Control
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Sergey Levine
- Chelsea Finn
- Pieter Abbeel
- Alexander Toshev
- Eric Jang
- Suraj Nair
- Fereshteh Sadeghi
- Abhinav Kumar Gupta
In Computer Vision and Pattern Recognition
- Sergey Levine
- Chelsea Finn
- Luc Van Gool
- Abhinav Kumar Gupta
- Jitendra Malik
- Trevor Darrell
- Dacheng Tao
- Li Fei-Fei
In Robotics & Control
- Sergey Levine
- Chelsea Finn
- Suraj Nair
- Eric Jang
- Alexander Toshev
- Pieter Abbeel
- Fereshteh Sadeghi
- Lei Tai
Citations in the corpus
- Sim2Real View Invariant Visual Servoing by Recurrent Control (2017, methodology): “We depart from a common assumption that the camera intrinsics and extrinsics are calibrated [23, 9], and make no assumptions about the 3D structure of the scene [9, 23, 7].”
- Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control (2018, methodology): “We depart from a common assumption that the camera intrinsics and extrinsics are calibrated [23, 9], and make no assumptions about the 3D structure of the scene [9, 23, 7].”
- Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation (2019, background): “Developing robots that can execute complex behaviours from only pixel inputs has been a well studied problem, for example with visual servoing (Mohta et al., 2014; Espiau et al., 1992; Wilson et al., 1996; Yoshimi & Allen, 1994; Jagersand et al., 1997; Lampe & Riedmiller, 2013; Sadeghi et al.,…”