Neural Networks for Robotics vs Nonlinear Control of Robots and Unmanned Aerial Vehicles: Which Should You Read?
Both live on shelves: Systèmes de commande, Control systems, TECHNOLOGY & ENGINEERING, Engineering, Robots
Neural Networks for Robotics
The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and…
vs
Nonlinear Control of Robots and Unmanned Aerial Vehicles
Nonlinear Control of Robots and Unmanned Aerial Vehicles: An Integrated Approach presents control and regulation methods that rely upon feedback linearization techniques. Both robot manipulators and UAVs employ…
The verdict
- Ratings are close across the board — any is a safe pick by score.
- Neural Networks for Robotics is the quickest read — about 4 hours vs 10 for Nonlinear Control of Robots and Unmanned Aerial Vehicles.
How to choose
Scores by source
| Neural Networks for Robotics | Nonlinear Control of Robots and Unmanned Aerial Vehicles | |
|---|---|---|
| Goodreads | 4.0 (1) | 4.0 (1) |
Reception
| Neural Networks for Robotics | Nonlinear Control of Robots and Unmanned Aerial Vehicles | |
|---|---|---|
| Ratings | 1 | 1 |
| Editions | 6 | 5 |
| Citations | 13 | 13 |
| Want to read | — | 3 |
| Pages | 228 | 544 |