Revisiting active perception
By Ruzena Bajcsy, Yiannis Aloimonos, John K. Tsotsos. Autonomous Robots, 2016
391 citations recorded by the source corpus.
Despite the recent successes in robotics, artificial intelligence and computer vision, a complete artificial agent necessarily must include active perception. A multitude of ideas and methods for how to accomplish this have already appeared in the past, their broader utility perhaps impeded by insufficient computational power or costly hardware. The history of these ideas, perhaps selective due to our perspectives, is presented with the goal of organizing the past literature and highlighting the seminal contributions. We argue that those contributions are as relevant today as they were decades ago and, with the state of modern computational tools, are poised to find new life in the robotic perception systems of the next decade.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/f1e9f30d360f4493e17e72637c34ea2d6508f7b1
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
- Jeannette Bohg
- Jorge Peña Queralta
- Jia Pan
- Jens Kober
- Tomi Westerlund
- Oliver Brock
- Danica Kragic
- G. Sukhatme
In Computer Vision and Pattern Recognition
- Jens Kober
- Dmitry Berenson
- Jorge Peña Queralta
- Jia Pan
- Hannu Tenhunen
- Tomi Westerlund
- Oliver Brock
- Danica Kragic
In Control and Systems Engineering
- Sergey Levine
- Jens Kober
- Pieter Abbeel
- Stefan Schaal
- Karol Hausman
- Jeannette Bohg
- Danica Kragic
- Jan Peters
Citations in the corpus
- Challenges and Outlook in Robotic Manipulation of Deformable Objects (2021, background): “A promising direction to deal with occlusion and noise is using active/interactive perception [38], [39].”
- Interactive Perception: Leveraging Action in Perception and Perception in Action (2016, background): “A more complete review of these early approaches toward active haptic perception is contained in [22] and [30].”
- Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision (2020, background): “[223] In the case of searching a victim, this can mean that the robots are aware that the main purpose is to save humans (why), and are able adapt their actions to achieve better sightings of people in need of help (what) by, for example, zooming the camera to a potential observation (how) or by…”