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As human-robot interaction (HRI) systems advance, so does the difficulty of evaluating and understanding the strengths and limitations of these systems in different environments and with different users.
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OpenRAVE: A planning architecture for autonomous robotics
R. Diankov and J. Kuffner · 2008
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The oz of wizard: Simulating the human for interaction research
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Planning-based prediction for pedestrians
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OpenNI tracker
M. Liebhardt · 2012
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Human-aware robot navigation: A survey
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J. Mouret and J. Clune · 2015
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Shared autonomy via hindsight optimization
S. Javdani, S. S. Srinivasa, and J. A. Bagnell · 2015
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Shared autonomy via hindsight optimization code
S. Javdani · 2016
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Adaptive generation of challenging scenarios for testing and evaluation of autonomous vehicles
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Automated scenario generation for regression testing of autonomous vehicles
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Using centroidal voronoi tessellations to scale up the multidimensional archive of phenotypic elites algorithm
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Improving robot controller transparency through autonomous policy explanation
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Data-efficient design exploration through surrogate-assisted illumination
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Talakat: Bullet hell generation through constrained map-elites
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Shared autonomy via hindsight optimization for teleoperation and teaming
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Generating adversarial driving scenarios in high-fidelity simulators
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Automatically testing self-driving cars with search-based procedural content generation
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Verifying robustness of human-aware autonomous cars
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Scenic: a language for scenario specification and scene generation
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Scenario co-evolution for reinforcement learning on a grid world smart factory domain
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Autonomous skill discovery with quality-diversity and unsupervised descriptors
A. Cully · 2019
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PyTorch: an imperative style, high-performance deep learning library
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Transfer depends on acquisition: Analyzing manipulation strategies for robotic feeding
Illuminating mario scenes in the latent space of a generative adversarial network
M. C. Fontaine, R. Liu, A. Khalifa, J. Modi, J. Togelius, A. K. Hoover, and S. Nikolaidis · 2021
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Illuminating diverse neural cellular automata for level generation
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Illuminating the space of beatable lode runner levels produced by various generative adversarial networks
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Generating and blending game levels via quality-diversity in the latent space of a variational autoencoder
A. Sarkar and S. Cooper · 2021
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RoCUS: robot controller understanding via sampling
Y. Zhou, S. Booth, N. Figueroa, and J. Shah · 2021
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D. Gallenberger, T. Bhattacharjee, Y. Kim, and S. S. Srinivasa · 2019
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CPPN2GAN: combining compositional pattern producing networks and gans for large-scale pattern generation
J. Schrum, V. Volz, and S. Risi · 2020
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Leveraging procedural generation to benchmark reinforcement learning
K. Cobbe, C. Hesse, J. Hilton, and J. Schulman · 2020
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Increasing generality in machine learning through procedural content generation
S. Risi and J. Togelius · 2020
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Active domain randomization
B. Mehta, M. Diaz, F. Golemo, C. J. Pal, and L. Paull · 2020
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Learning quadrupedal locomotion over challenging terrain
J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter · 2020
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Enhanced POET: open-ended reinforcement learning through unbounded invention of learning challenges and their solutions
R. Wang, J. Lehman, A. Rawal, J. Zhi, Y. Li, J. Clune, and K. O. Stanley · 2020
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Discovering generalizable skills via automated generation of diverse tasks
K. Fang, Y. Zhu, S. Savarese, and L. Fei-Fei · 2021
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Replay-guided adversarial environment design
M. Jiang, M. Dennis, J. Parker-Holder, J. N. Foerster, E. Grefenstette, and T. Rocktäschel · 2021
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Deep surrogate assisted MAP-Elites for automated hearthstone deckbuilding
Y. Zhang, M. C. Fontaine, A. K. Hoover, and S. Nikolaidis · 2021
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On the importance of environments in human-robot coordination
M. C. Fontaine, Y. Hsu, Y. Zhang, B. Tjanaka, and S. Nikolaidis · 2021
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Explainable AI for robot failures: Generating explanations that improve user assistance in fault recovery
D. Das, S. Banerjee, and S. Chernova · 2021
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Evaluation of socially-aware robot navigation
Y. Gao and C. Huang · 2021
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pyribs: A bare-bones python library for quality diversity optimization
B. Tjanaka, M. C. Fontaine, D. H. Lee, T. T. M. Vu, Y. Zhang, S. Sommerer, N. Dennler, and S. Nikolaidis · 2021
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Evaluating human–robot interaction algorithms in shared autonomy via quality diversity scenario generation
M. C. Fontaine and S. Nikolaidis · 2022
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Deep surrogate assisted generation of environments
V. Bhatt, B. Tjanaka, M. C. Fontaine, and S. Nikolaidis · 2022
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ProcTHOR: Large-scale embodied AI using procedural generation
M. Deitke, E. VanderBilt, A. Herrasti, L. Weihs, J. Salvador, K. Ehsani, W. Han, E. Kolve, A. Farhadi, A. Kembhavi, et al · 2022
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K. Fang, T. Migimatsu, A. Mandlekar, L. Fei-Fei, and J. Bohg · 2022
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Transfer dynamics in emergent evolutionary curricula
A. Dharna, A. K. Hoover, J. Togelius, and L. Soros · 2022
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Evolving curricula with regret-based environment design
J. Parker-Holder, M. Jiang, M. Dennis, M. Samvelyan, J. N. Foerster, E. Grefenstette, and T. Rocktäschel · 2022
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Covariance matrix adaptation map-annealing
M. C. Fontaine and S. Nikolaidis · 2022
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Approximating gradients for differentiable quality diversity in reinforcement learning
B. Tjanaka, M. C. Fontaine, J. Togelius, and S. Nikolaidis · 2022
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Diversity policy gradient for sample efficient quality-diversity optimization
T. Pierrot, V. Macé, F. Chalumeau, A. Flajolet, G. Cideron, K. Beguir, A. Cully, O. Sigaud, and N. Perrin-Gilbert · 2022
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An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials
Y. Jiang, D. Salley, A. Sharma, G. Keenan, M. Mullin, and L. Cronin · 2022
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T-DominO: Exploring multiple criteria with quality-diversity and the tournament dominance objective
A. Gaier, J. Stoddart, L. Villaggi, and P. J. Bentley · 2022
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Rcare world: A human-centric simulation world for caregiving robots
R. Ye, W. Xu, H. Fu, R. K. Jenamani, V. Nguyen, C. Lu, K. Dimitropoulou, and T. Bhattacharjee · 2022
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