Engineers use such frameworks to build flexible systems capable of handling tasks such as motion planning, perception, and autonomous decision-making.
This includes optimizing algorithms for low-latency and developing robust error-handling procedures to prevent system failure during operation.
[15] AI engineering plays an increasingly critical role in enabling robots to perform complex, adaptive tasks.
This is essential in applications like robotic surgery, where extreme precision is required, or in manufacturing, where consistent performance over repetitive tasks is critical.
[22][23] For more advanced applications, robotics engineers develop adaptive control systems that can modify their behavior in response to changing environments.
These platforms allow engineers to develop control algorithms, run system-level tests, and assess performance under various conditions without needing physical hardware.
CAD models are often integrated with simulation tools to test mechanical functionality and detect design flaws early in the process.
These methods enable engineers to iterate quickly, refining the design based on real-world testing and feedback, reducing the time to market.
[29][30] To ensure the robustness and durability of robotic components, engineers perform structural testing using finite alement analysis (FEA) software like ANSYS and Abaqus.
In addition to technical aspects, such as the development of sensitive control systems and force-limited actuators, engineers must address the ethical and legal implications of these interactions.
AI algorithms are employed to enable robots to anticipate and respond to human behavior in collaborative environments; however, these systems are not without flaws.
Furthermore, in cases where AI algorithms play a key role in the robot's decision-making process, there is the added complexity of determining whether the system itself could be partly accountable.
This issue is particularly pertinent in industries such as healthcare and autonomous vehicles, where mistakes may result in severe consequences, including injury or death.
The creation of regulations that clearly define accountability, establish safety protocols, and safeguard human rights will be crucial as robots become increasingly integrated into daily life.