Tactile Gym Sim-to-Real

该数据集专为触觉机器人和强化学习设计，提供了一系列模拟环境，重点在于将模拟环境中的策略迁移到现实世界场景中。数据集不仅包含了定性演示视频，还涵盖了在模拟和现实环境中评估的各种任务，包括边缘跟踪、表面跟踪、物体滚动、物体推动以及物体平衡等。This dataset is specifically designed for tactile robotics and reinforcement learning, providing a suite of simulated environments with a core focus on transferring policies trained in simulation to real-world scenarios. It not only includes qualitative demonstration videos, but also covers a variety of tasks evaluated in both simulated and real-world environments, such as edge tracking, surface tracking, object rolling, object pushing, and object balancing.