Visual Navigation in a Robot Using Zig-Zag Behavior
–Neural Information Processing Systems
We implement a model of obstacle avoidance in flying insects on a small, monocular robot. The result is a system that is capable of rapid navigation through a dense obstacle field. The key to the system is the use of zigzag behavior to articulate the body during movement. It is shown that this behavior compensates for a parallax blind spot surrounding the focus of expansion normally foundin systems without parallax behavior.
Neural Information Processing Systems
Dec-31-1998
- Country:
- North America > United States > Illinois (0.14)
- Technology:
- Information Technology > Artificial Intelligence > Robots (1.00)