Neural Networks for Real-Time Sensory Data Processing and Sensorimotor Control
Abstract
One of the critical problems that we faced in modeling the neural control of escape turns in the cockroach was a quantitative analysis of the leg movements that generate the turn. Because the turn is very rapid, often spanning no more than 20 msec, conventional motion analysis techniques could not be employed. For that reason, we acquired an NAC high speed video and computer motion analysis system. With these tools, we have not attained a very good description of the movements that occur at each joint of each leg during turns in response to wind from four different angles relative to the animals body. Figure 1 is a typical stick figure generated by the computer system showing four successive frames at 5 msec intervals. The pairs of legs shown are, from front to back, legs in the prothoracic (T1), mesothoracic (T2), and metathoracic segments. In all legs the coxa, femur, and tibia segments are shown. These segments make two critical joint angles: the coxal-femur (C-F) joint and the femoro-tibial (F-T) joint. Keywords: Robotics.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 14, 1990
- Accession Number
- ADA223096
Entities
People
- Randall D. Beer
Organizations
- Case Western Reserve University