Marcus Lim

Papers

Total Citations

203

H-Index

About

Marcus Lim is a leading researcher in robotic manipulation, with a focused expertise in autonomous object placement—a critical skill for personal robots operating in human environments. His work addresses the fundamental challenge of enabling robots to not only place objects stably but to do so in semantically meaningful ways, respecting human preferences for location and orientation. Lim’s core contribution is a learning-based framework that allows robots to generalize placement strategies to novel objects and unfamiliar scenes, moving beyond simple pick-and-place to context-aware arrangement. His seminal paper, "Learning to place new objects in a scene" (2012), has garnered 147 citations, underscoring its influence in the field of robotic task planning and scene understanding. By tackling the complexity of environments where a plate should be inserted vertically into a dish-rack rather than laid flat, Lim has advanced the practical utility of service robots for tasks like tidying and organization. His research bridges computer vision, affordance learning, and motion planning, making him a key figure in the push toward truly helpful, context-aware domestic robotics.