Krishan Rana

Dr. Krishan Rana is a Research Fellow at the QUT Centre for Robotics, specializing in robot learning at the intersection of AI and robotics. His work focuses on enabling robots to intelligently plan and interact with the world, particularly through projects like From Chat to Chores: The Future of LLM-Powered Service Robots and Robot Learning for Everyday Tasks with Large Language Models. He explores reinforcement learning, visuomotor control, and sim-to-real policy deployment.

His research interests include robot navigation, policy learning, and embodied AI, with applications in service robotics and medical imaging. He leads projects involving semantic maps, affordance-centric task frames, and multi-modal perception. His work bridges theoretical advancements with practical deployments in dynamic environments.

Recent contributions include developing datasets like LHManip for cluttered manipulation tasks and Robohop for visual navigation. He collaborates on open-source robotics tools through initiatives like Open X-Embodiment. His research emphasizes scalability, sample efficiency, and integration of large language models into robotic systems.