Ramya Ramakrishnan
TitleCited byYear
Efficient model learning from joint-action demonstrations for human-robot collaborative tasks
S Nikolaidis, R Ramakrishnan, K Gu, J Shah
Proceedings of the tenth annual ACM/IEEE international conference on human …, 2015
942015
Improved human–robot team performance through cross-training, an approach inspired by human team training practices
S Nikolaidis, P Lasota, R Ramakrishnan, J Shah
The International Journal of Robotics Research 34 (14), 1711-1730, 2015
282015
From virtual to actual mobility: Assessing the benefits of active locomotion through an immersive virtual environment using a motorized wheelchair
A Nybakke, R Ramakrishnan, V Interrante
2012 IEEE Symposium on 3D User Interfaces (3DUI), 27-30, 2012
112012
Perturbation training for human-robot teams
R Ramakrishnan, C Zhang, J Shah
Journal of Artificial Intelligence Research 59, 495-541, 2017
62017
Discovering blind spots in reinforcement learning
R Ramakrishnan, E Kamar, D Dey, J Shah, E Horvitz
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
42018
Are motorized wheelchairs an effective method of locomotion in virtual environments?
A Nybakke, R Ramakrishnan, V Interrante
2012 IEEE Virtual Reality Workshops (VRW), 75-76, 2012
32012
Interpretable Transfer for Reinforcement Learning based on Object Similarities
R Ramakrishnan, K Narasimhan, J Shah
Proceedings of the IJCAI Interactive Machine Learning Workshop, 2016
22016
Towards Interpretable Explanations for Transfer Learning in Sequential Tasks
R Ramakrishnan, J Shah
2016 AAAI Spring Symposium Series, 2016
12016
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution
R Ramakrishnan, E Kamar, B Nushi, D Dey, J Shah, E Horvitz
2019
Learning Human Types from Demonstration
S Nikolaidis, K Gu, R Ramakrishnan, J Shah
2014 AAAI Fall Symposium Series, 2014
2014
Robot affordance learning with human interaction
R Ramakrishnan
Georgia Institute of Technology, 2013
2013
Knowledge Transfer from a Human Perspective
R Ramakrishnan, JA Shah
Target 100 (125), 150, 0
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Articles 1–12