Web Reference: Mar 8, 2024 · To investigate this possibility, we conduct thorough empirical studies both in simulation and on a real robot that compare data collection strategies and assess whether visual imitation learning policies can compose environmental factors. Through a series of targeted real-world experiments, we demonstrate that these approaches, when scaled up to realistic settings, face much of the same scaling challenges as prior attempts in RL in terms of environment design. Below is a list of 10 best practices in data collection. By Siddharth Lunawat. 1. Define Clear Data Collection Goals. It sounds simple but you need a well-defined objective tied to specific robotics tasks such as navigation, manipulation, or perception.
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