Improved human–robot team performance through cross-training, an approach inspired by human team training practices

By Stefanos Nikolaidis, Przemyslaw A. Lasota, Ramya Ramakrishnan, Julie Arnold Shah. 2015

84 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Management Science and Operations Research

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

1. Subbarao Kambhampati
2. Sarath Sreedharan
3. Tathagata Chakraborti
4. Sergio Jiménez
5. Eva Onaindia
6. Diego Aineto
7. Miquel Ramírez

In Control and Systems Engineering

1. Subbarao Kambhampati
2. Sarath Sreedharan
3. Tathagata Chakraborti

In Management Science and Operations Research

1. Subbarao Kambhampati
2. Tathagata Chakraborti

Citations in the corpus

• Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation (2018, background): “There has been some recent work (Nikolaidis et al. 2015; Hadfield-Menell et al. 2016) that aims to learn human mental models iteratively during the course of interactions especially when there is uncertainty about human preferences.”
• Balancing Explicability and Explanation in Human-Aware Planning (2017, background): “This is a topic of future work; existing literature on iterative model learning (Nikolaidis et al. 2015; Hadfield-Menell et al. 2016) can provide useful guidance towards the same.”