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20182022
most citedEvolved embodied phase coordination enables robust quadruped robot locomotion

9 citations · 11 across the 8 of their papers we have counts for

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13 papers · 1 filter

cs.RO2020

MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics

Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen +1

In modular robotics, modules can be reconfigured to change the morphology of the robot, making it able to adapt for specific tasks. However, optimizing both the body and control is…

cs.RO2020

Quality and Diversity in Evolutionary Modular Robotics

Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen +1

In Evolutionary Robotics a population of solutions is evolved to optimize robots that solve a given task. However, in traditional Evolutionary Algorithms, the population of solutio…

cs.RO2020

Real World Morphological Evolution is Feasible

Tonnes F. Nygaard, David Howard, Kyrre Glette

Evolutionary algorithms offer great promise for the automatic design of robot bodies, tailoring them to specific environments or tasks. Most research is done on simplified models o…

cs.RO2020

Environmental Adaptation of Robot Morphology and Control through Real-world Evolution

Tønnes F. Nygaard, Charles P. Martin, David Howard +2

Robots operating in the real world will experience a range of different environments and tasks. It is essential for the robot to have the ability to adapt to its surroundings to wo…

cs.RO2019

Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing

Tønnes F. Nygaard, Jørgen Nordmoen, Charles P. Martin +1

Robots are used in more and more complex environments, and are expected to be able to adapt to changes and unknown situations. The easiest and quickest way to adapt is to change th…

cs.RO20199 cited

Evolved embodied phase coordination enables robust quadruped robot locomotion

Jørgen Nordmoen, Tønnes F. Nygaard, Kai Olav Ellefsen +1

Overcoming robotics challenges in the real world requires resilient control systems capable of handling a multitude of environments and unforeseen events. Evolutionary optimization…