Add publications to DART's Academic Research page

[costashatz]

Hello,

I was checking for something in your docs and found the Academic Research page (I wasn't aware of this doc page): http://dartsim.github.io/use_cases.html

There you have quite a few of publications that use DART. In our research lab (http://www.resibots.eu/), we have used DART in the following publications:

Peer-reviewed International Journals and Conferences

• Chatzilygeroudis, K., & Mouret, J. B. (2018). Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics. Proceedings of the International Conference on Robotics and Automation (ICRA).
• Pautrat, R., Chatzilygeroudis, K., & Mouret, J.-B. (2018). Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search. Proceedings of the International Conference on Robotics and Automation (ICRA).
• Supratik P., Chatzilygeroudis K., Ciosek K., Mouret JB., Osborne M., and Whiteson Sh. (2018). Alternating Optimisation and Quadrature for Robust Control. Proceedings of AAAI Conference on Artificial Intelligence.
• Chatzilygeroudis, K., Vassiliades, V. and Mouret, J.-B. (2017). Reset-free Trial-and-Error Learning for Robot Damage Recovery. Robotics and Autonomous Systems.
• Vassiliades V., Chatzilygeroudis K., and Mouret JB. (2016). Using centroidal voronoi tessellations to scale up the multi-dimensional archive of phenotypic elites algorithm. IEEE Transactions on Evolutionary Computation.

Minimally reviewed ones (workshops)

• Chatzilygeroudis, K., Cully, A. and Mouret, J.-B. (2016). Towards semi-episodic learning for robot damage recovery. Workshop on AI for Long-Term Autonomy at the IEEE International Conference on Robotics and Automation 2016.
• Papaspyros, V., Chatzilygeroudis, K., Vassiliades, V., and Mouret, J.-B. (2016). Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors. Workshop on Bayesian Optimization at the Annual Conference on Neural Information Processing Systems (NIPS) 2016.

It'd be nice to include (some of) them in the DART docs.

Thanks in advance!

[jslee02]

Thanks for introducing publications using DART. Awesome!

I added three of them to the website because I couldn't find that DART is cited in the other four papers. :sweat:

[costashatz]

I added three of them to the website because I couldn't find that DART is cited in the other four papers.

That would be by mistake.. I will update the publications and let you know (I will also give you some pictures to put :smile: )..

[costashatz]

Hey,

Here's the updated list of publications (now they should contain DART in their citations) with images:

Peer-reviewed International Journals and Conferences

• Chatzilygeroudis, K., & Mouret, J. B. (2018). Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics. Proceedings of the International Conference on Robotics and Automation (ICRA).

• Pautrat, R., Chatzilygeroudis, K., & Mouret, J.-B. (2018). Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search. Proceedings of the International Conference on Robotics and Automation (ICRA).

• Supratik P., Chatzilygeroudis K., Ciosek K., Mouret JB., Osborne M., and Whiteson Sh. (2018). Alternating Optimisation and Quadrature for Robust Control. Proceedings of AAAI Conference on Artificial Intelligence.

• Chatzilygeroudis, K., Vassiliades, V. and Mouret, J.-B. (2017). Reset-free Trial-and-Error Learning for Robot Damage Recovery. Robotics and Autonomous Systems.

• Vassiliades V., Chatzilygeroudis K., and Mouret JB. (2016). Using centroidal voronoi tessellations to scale up the multi-dimensional archive of phenotypic elites algorithm. IEEE Transactions on Evolutionary Computation.

By the way, maybe you could add our DART wrapper to the software use cases:

robot_dart: A generic and lightweight wrapper over DART simulator for fast and flexible robot simulations.

[jslee02]

@costashatz I updated the webpage correspondingly. Thank you for sharing the great work and the updates!

Closing this issue but feel free to reopen if you would like to add more.