Planning for serendipity
By Tathagata Chakraborti, Gordon Briggs, Kartik Talamadupula, Yu Zhang, Matthias Scheutz, David E. Smith, Subbarao Kambhampati. 2015
53 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Subbarao Kambhampati
- Sarath Sreedharan
- Tathagata Chakraborti
- Hankui Zhuo
- Yu Zhang
- Tim Miller
- Sergio Jiménez
- Eva Onaindia
In Computer Vision and Pattern Recognition
Citations in the corpus
- Plan explicability and predictability for robot task planning (2015, background): “In prior works, this issue is addressed under human-aware planning [22, 4, 2] in which agents take the human’s activities and intents into account when constructing their plans.”
- Balancing Explicability and Explanation in Human-Aware Planning (2017, background): “From the perspective of task planning, depending on the extent of involvement of the human in the life cycle of a plan, work in this direction has ranged on a spectrum of “human-aware planning” (Alami et al. 2006; 2014; Cirillo, Karlsson, and Saffiotti 2010; Koeckemann, Pecora, and Karlsson 2014; To”
- Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration (2018, background): “%) when it is being done to a robot in C3 (perhaps the robot’s losses are deemed of lesser priority than the human’s gains as in (Chakraborti et al. 2015)).”