Lillian Chang
Papers
8
Total Citations
364
H-Index
6
About
Lillian Chang is a pioneering roboticist whose research lies at the intersection of dexterous manipulation, human-inspired grasping, and brain-computer interfaces (BCIs) for humanoid robots. Her most influential work, "Interactive singulation of objects from a pile" (111 citations), introduced a groundbreaking framework enabling robots to discover and manipulate individual items in cluttered, unstructured environments—a critical step toward real-world robotic autonomy. Chang’s contributions to anthropomorphic hand design are equally notable; her kinematic thumb model for the ACT hand (71 citations) advanced the biomechanical fidelity of robotic hands, enabling more natural grasping and manipulation. She also broke new ground in human-robot interaction with an adaptive BCI for humanoid control (61 citations), moving beyond fixed behaviors to allow low-level, real-time robot guidance. Her studies on pre-grasp manipulation strategies, including preparatory object rotation (36 citations) and sliding interactions (29 citations), have deepened our understanding of how robots can mimic human dexterity to improve task success and load-supporting postures. With over 360 citations across her work, Chang’s research continues to shape the fields of robotic manipulation, humanoid control, and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Interactive singulation of objects from a pile111 citations · 2012
- 2A kinematic thumb model for the ACT hand71 citations · 2006
- 3An adaptive brain-computer interface for humanoid robot control61 citations · 2011
- 4Planning pre-grasp manipulation for transport tasks52 citations · 2010
- 5Preparatory object rotation as a human-inspired grasping strategy36 citations · 2008
- 6Templates for pre-grasp sliding interactions29 citations · 2011
- 7Pre-grasp interaction as a manipulation strategy for movable objects2 citations · 2010
- 8Pre-grasp Interaction for Object Acquisition in Difficult Tasks2 citations · 2014