most citedExploring Mechanically Self-Reconfiguring Robots for Autonomous Design

7 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MM2019

Data Driven Analysis of Tiny Touchscreen Performance with MicroJam

Charles P Martin, Jim Torresen

The widespread adoption of mobile devices, such as smartphones and tablets, has made touchscreens a common interface for musical performance. New mobile musical instruments have be…

cs.RO2018

Real-World Evolution Adapts Robot Morphology and Control to Hardware Limitations

Tønnes F. Nygaard, Charles P. Martin, Eivind Samuelsen +2

For robots to handle the numerous factors that can affect them in the real world, they must adapt to changes and unexpected events. Evolutionary robotics tries to solve some of the…

cs.RO2018★ 7 cited

Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design

Tønnes F. Nygaard, Charles P. Martin, Jim Torresen +1

Evolutionary robotics has aimed to optimize robot control and morphology to produce better and more robust robots. Most previous research only addresses optimization of control, an…

cs.RO2018

Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing

Tønnes F. Nygaard, Charles P. Martin, Jim Torresen +1

If robots are to become ubiquitous, they will need to be able to adapt to complex and dynamic environments. Robots that can adapt their bodies while deployed might be flexible and…

cs.SD2018★ 3 cited

Deep Predictive Models in Interactive Music

Charles P. Martin, Kai Olav Ellefsen, Jim Torresen

Musical performance requires prediction to operate instruments, to perform in groups and to improvise. In this paper, we investigate how a number of digital musical instruments (DM…