Table 4
Motion control and coordination.
| Technology | Type | Advantages | Limitations |
|---|---|---|---|
| Autonomous Control Systems [54] | Navigation-based | Enhances robot stability, reduces need for operator intervention | High computational requirements, sensitive to environmental disturbances |
| Vehicle-Manipulator Coordination [55] | Interaction-based | Enables precise and delicate cable manipulation tasks | Requires sophisticated algorithms, potential delays in task execution |
| Path-Planning Algorithms [56] | Motion-based | Optimizes robot movement, ensures complete coverage of the cable route | Dependent on accurate sensor data, can struggle in featureless environments |
| PID (Proportional-Integral-Derivative) Control [57] | Motion-based | Simple and effective for maintaining stability in dynamic environments | May struggle with highly dynamic conditions |
| Model Predictive Control (MPC) [58] | Motion-based | Predicts robot movement, adjusts dynamically for optimal performance | High computational cost, complex model requirements |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.