Experiments in learning distributed control for a hexapod robot
نویسندگان
چکیده
منابع مشابه
Experiments in learning distributed control for a hexapod robot
This paper reports on experiments involving a hexapod robot. Motivated by neurobiological evidence that control in real hexapod insects is distributed leg-wise, we investigated two approaches to learning distributed controllers: genetic algorithms and reinforcement learning. In the case of reinforcement learning, a new learning algorithm was developed to encourage cooperation between legs. Resu...
متن کاملFractional Order Control of a Hexapod Robot
This paper studies the performance of integer and fractional order controllers in a hexapod robot with joints at the legs having viscous friction and flexibility. For that objective the robot prescribed motion is characterized in terms of several locomotion variables. The walking performance is analysed through the Nyquist stability criterion and several indices that reflect the system dynamica...
متن کاملA Distributed Neural Network Architecture for Hexapod Robot Locomotion
We present a fully distributed neural network architecture for controlling the locomotion of a hexapod robot. The design of this network is directly based on work on the neuroethology of insect locomotion. Previously, we demonstrated in simulation that this controller could generate a continuous range of statically stable insect-like gaits as the activity of a single command neuron was varied a...
متن کاملEvolving cyclic control for a hexapod robot performing area coverage
For a robot to search an entire area, it must follow a path that allows the range of its sensors to cover all parts of the area. This problem is a subset of path planning called area coverage. Most work done in this type of path planning has concentrated on ways of dividing the area up to avoid obstacles while covering the area. This is an important step in the process, but often takes for gran...
متن کاملDeveloping planning and reactive control for a hexapod robot
We have designed an architecture that allows a gait planner to effectively control primitive walking behaviors. The behaviors ensure safe and efficient walking, even without planning; the addition of planning improves performance in rough terrain by allowing the robot to anticipate changes in its gait. We have implemented our approach and demonstrated it on a real robot, Dante II, and on a simu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Robotics and Autonomous Systems
سال: 2006
ISSN: 0921-8890
DOI: 10.1016/j.robot.2006.04.009