Yanran Jiang

In navigating intricate and unpredictable environments, robots confront challenges that warrant human assistance. Seeking such assistance enables robots to harness human expertise, addressing unforeseen issues and refining task efficiency. Yanran emphasizes the importance of robots learning when to ask for help in response to environmental challenges. To achieve this, the proposed solution involves crafting a sophisticated classifier integrated with reinforcement learning, empowering robots to discern when human intervention is beneficial. The overarching goal is to elevate the robot’s decision-making capabilities, fostering a collaborative dynamic where robots selectively seek human help for optimal task performance.