In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
This paper outlines aspects of locomotor control in insects that may serve as the basis for the design of controllers for autonomous hexapod robots. Control of insect walking can b...
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
Ana C. Tenorio-Gonzalez, Eduardo F. Morales, Luis ...
The economics of robot manufacturing is driving us toward situations in which a single human operator will be expected to split attention across multiple semiautonomous vehicles, ...
Human partners working on a target acquisition task perform faster than do individuals on the same task, even though the partners consider each other to be an impediment. We record...