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Ep#14 VERTIFORMER: A Data-Efficient Multi-Task Transformer on Vertically Challenging Terrain

RoboPapers

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Navigating the Future of Robotics

This chapter explores the challenges of robotic navigation in complex terrains, emphasizing the integration of human intuition and advanced machine learning techniques. The discussion introduces innovative tools like 'VertiBench' for benchmarking mobility while highlighting the importance of real-world testing over theoretical simulations. Additionally, the speakers reflect on the balance between classical physics principles and modern data-driven approaches in advancing robotic capabilities.

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