9 citations · 10 across the 5 of their papers we have counts for
10 papers · 1 filter
Ankle Joints Are Beneficial When Optimizing Supported Real-world Bipedal Robot Gaits
Hilmar Elverhøy, Steinar Bøe, Vegard Søyseth +1
Legged robots promise higher versatility and the ability to traverse much more difficult terrains than their wheeled counterparts. Even though the use of legged robots have increas…
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification
Ahmadreza Ahmadi, Tønnes Nygaard, Navinda Kottege +2
Legged robots are popular candidates for missions in challenging terrains due to the wide variety of locomotion strategies they can employ. Terrain classification is a key enabling…
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…
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…
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…
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…