Xin Ye
Xin Ye is a researcher at Bosch Center for Artificial Intelligence whose work focuses on autonomous driving, world models, and vision-language-action models. He earned his Ph.D. from Arizona State University in 2021, where his research centered on computer vision, deep reinforcement learning, and robotic object search. His recent publications include contributions to adaptive world model planning, unified language alignment for autonomous driving, and embodied intelligence research bridging vision-language models with vision-language-action models.
“Two of the paper's five authors (Xin Ye, Liu Ren) are from Bosch Center for Artificial Intelligence. This signals Bosch's active investment in VLA research infrastructure — relevant for industrial robotics deployment contexts.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.