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Robot Control, Motion Planning and Optimization

Research in robot control and motion planning focuses on creating systems that allow robots to operate safely and efficiently in unpredictable conditions. This includes developing real-time optimization algorithms and integrating reinforcement learning for adaptive decision-making. Applications range from autonomous vehicle navigation to precision agriculture. Alberta Robotics supports these efforts by providing high-performance computing and simulation tools, advancing robotics capabilities in complex, real-world scenarios.

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