Robotics Community
The robotics community is actively pursuing the development of autonomous robots capable of performing complex tasks in real-world environments. Current research emphasizes improving robot dexterity and adaptability through advancements in reinforcement learning algorithms, often employing hierarchical architectures and leveraging simulated benchmarks for efficient training. This work is driven by the need for robust, reliable, and efficient robotic systems, impacting fields ranging from manufacturing and logistics to healthcare and exploration. Open-source tools and datasets are increasingly crucial for fostering collaboration and accelerating progress within the field.
Papers
April 22, 2022
April 18, 2022