About GAVLAB
Research Interests
- Robust Control algorithms for computationally restricted platforms
- Simple adaptive algorithms
- Computationally efficient controllers
- Sensor noise canceling for system identification
- Low level GPS/INS integration for improved navigation
- Improved dead reckoning through better initial alignment
- Improved INS error characterization (including INS scale factor estimation)
- Model-free (human-like) driver Control algorithms for autonomous vehicles
- Controllers that can be moved from one vehicle to another
- Multiple/Redundant sensor fusion for on-line system identification
- Low-level GPS/INS integration using vehicle dynamic constraints for improved vehicle state and parameter estimation
- Two-step on-line parameter identification of non-linear systems in the presence of noise
- Design and control of MEMS actuators
- Control of low-flying UAVs for mine recovery (and forest pesticide delivery)
- Sensor and system fault detection and reconfigurable control and estimation algorithms
- Low-cost MEMS sensor integration with GPS for UGVs and UAVs