Bridging language and action: A survey of language-conditioned robot manipulation

Xiangtong Yao, Hongkuan Zhou, Oier Mees, Yuan Meng, Ted Xiao, Yonatan Bisk, Jean Oh, Edward Johns, Mohit Shridhar, Dhruv Shah, Jesse Thomason, Kai Huang, Joyce Chai, Zhenshan Bing, Alois Knoll, School of Computation, Information and Technology, Technical University of Munich, Corporate Research, Robert Bosch GmbH, Institute for Artificial Intelligence, University of Stuttgart, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Google DeepMind, Mountain View, Google DeepMind, Carnegie Mellon University, Department of Computing, Imperial College London, Electrical and Computer Engineering, Princeton University, Computer Science, University of Southern California, Los Angeles, School of Computer Science and Engineering, Sun Yat-sen University, Computer Science and Engineering, University of Michigan, Ann Arbor, The State Key Laboratory for Novel Software Technology, School of Intelligence Science and Technology, Nanjing University

The International Journal of Robotics Research

Published online on July 29, 2026

Abstract

The International Journal of Robotics Research, Ahead of Print.
Language-conditioned robot manipulation is an emerging field aimed at enabling seamless communication and cooperation between humans and robotic agents by teaching robots to comprehend and execute instructions conveyed in natural language. This ...