Miranda Coninx

Orcid: 0000-0001-7992-8183

According to our database1, Miranda Coninx authored at least 29 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Quality Diversity under Sparse Reward and Sparse Interaction: Application to Grasping in Robotics.
CoRR, 2023

Diversity Search for the Generation of Diverse Grasping Trajectories.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Building an Affordances Map With Interactive Perception.
Frontiers Neurorobotics, September, 2022

Few-Shot Quality-Diversity Optimization.
IEEE Robotics Autom. Lett., 2022

Exploratory State Representation Learning.
Frontiers Robotics AI, 2022

Random Actions vs Random Policies: Bootstrapping Model-Based Direct Policy Search.
CoRR, 2022

E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories.
CoRR, 2022

Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Geodesics, non-linearities and the archive of novelty search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
From exploration to control: Learning object manipulation skills through novelty search and local adaptation.
Robotics Auton. Syst., 2021

Discovering and Exploiting Sparse Rewards in a Learned Behavior Space.
CoRR, 2021

Few-shot Quality-Diversity Optimisation.
CoRR, 2021

BR-NS: an archive-less approach to novelty search.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Sparse reward exploration via novelty search and emitters.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Younger is better: a simple and efficient selection strategy for MAP-Elites.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics.
CoRR, 2020

State Representation Learning from Demonstration.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

On Pros and Cons of Evolving Topologies with Novelty Search.
Proceedings of the 2020 Conference on Artificial Life, 2020

Unsupervised Learning and Exploration of Reachable Outcome Space.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Novelty search makes evolvability inevitable.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Bootstrapping Robotic Ecological Perception from a Limited Set of Hypotheses Through Interactive Perception.
CoRR, 2019

Novelty search: a theoretical perspective.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Open-Ended Learning: A Conceptual Framework Based on Representational Redescription.
Frontiers Neurorobotics, 2018

Open-ended evolution with multi-containers QD.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals.
Int. J. Approx. Reason., 2017

Semantic-based interaction for teaching robot behavior compositions.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

2016
Bayesian sensor fusion with fast and low power stochastic circuits.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016

2014
Behavioral accommodation towards a dance robot tutor.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

2011
Visualization of uncertain scalar data fields using color scales and perceptually adapted noise.
Proceedings of the 8th Symposium on Applied Perception in Graphics and Visualization, 2011


  Loading...