The development and testing of autonomous vehicles pose significant challenges due to the complexities involved in both opportunities and risks. With enterprise solutions still in their infancy, researchers have made strides toward optimizing these processes through innovative technologies. One such… Continue Reading →
Reinforcement Learning (RL) is a powerful technique for training agents to learn from trial and error. However, RL faces significant challenges when dealing with tasks that have delayed rewards. One approach to address this issue is to break down the… Continue Reading →
In the world of robotics, the ability to generate motion plans that can adapt to an uncertain environment, parametric model uncertainty, and disturbances is of paramount importance. Moreover, these plans often need to be generated in real-time, as obstacles may… Continue Reading →
In the constantly evolving field of robotics, bio-inspired control systems have gained significant attention due to their wide range of real-world applications. One such control system that has proven to be highly versatile for robotic systems requiring oscillatory behavior, such… Continue Reading →
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