Papers
13
Total Citations
1,138
H-Index
10
About
Marcia Riley is a pioneering researcher in humanoid robotics, with a career dedicated to bridging the gap between human movement and robotic control. Her key research areas include motion generation, human-robot interaction, and learning from demonstration. Riley’s major contributions lie in developing methods to transfer natural human motion to humanoid robots, enabling them to perform complex, full-body behaviors like dancing and catching. Her most cited work, “Adapting human motion for the control of a humanoid robot” (318 citations), established foundational techniques for using pre-recorded human motion to control robotic gestures, despite kinematic limitations. Another influential paper, “Using humanoid robots to study human behavior” (266 citations), highlights her interdisciplinary approach, using robots as tools to advance our understanding of human trajectory formation and oculomotor control. Riley’s impact is evident across her publication record, with over 1,100 total citations, and her work on imitation learning and real-time full-body imitation (78 citations) has shaped intuitive human-robot interaction. Notably, her research on robot catching and coaching systems has advanced engaging, natural interfaces for humanoid robots, making her a key figure in creating lifelike, responsive robotic behaviors.
Research Focus
Key Achievements
Top Papers
- 1Adapting human motion for the control of a humanoid robot318 citations · 2003
- 2Using humanoid robots to study human behavior266 citations · 2000
- 3Programming full-body movements for humanoid robots by observation159 citations · 2004
- 4Planning of joint trajectories for humanoid robots using B-spline wavelets80 citations · 2002
- 5Robot Catching: Towards Engaging Human-Humanoid Interaction78 citations · 2002
- 6
- 7
- 8
- 9
- 10Synthesizing goal-directed actions from a library of example movements16 citations · 2007