Pub Date : 2024-09-10DOI: 10.1109/mra.2024.3428148
Yi Guo
In a closed-door discussion that I attended recently, the award committee was debating whether to award the best student paper to a reinforcement learning-based robotics work with simulations using open datasets, or a robotics work using more traditional model-based methods with real robot experiments. Much more deliberation took place to reach the decision, and I’m not going to reveal which paper won the award, although, I must say both papers deserve recognition for being finalists in the competition. As a researcher who studied both classic dynamic model-based methods and machine learning-based methods to control robots, I have no bias toward either one, and I think the best solution for complex robotics problems may lie in better integrating of the two methods.
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Pub Date : 2024-09-10DOI: 10.1109/mra.2024.3428209
The IEEE Robotics and Automation Society (RAS) is interested in encouraging students to play an active role in existing robotics standardization efforts. The RAS has multiple standardization efforts, which can be found at https://www.ieee-ras.org/industry-government/standards