Yanran Dingl
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Total Citations
1
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About
Yanran Ding is a leading researcher in legged robotics, with a core focus on energy-efficient locomotion and model predictive control (MPC). Her major contribution lies in the development of a kinodynamic MPC framework that exploits unidirectional parallel springs (UPS) to dramatically improve the energy efficiency of dynamic legged robots. By employing a hierarchical control structure, her work bridges the gap between simplified dynamics and full-body control, enabling robots to move more naturally while consuming significantly less power. Her most-cited paper, "Kinodynamic Model Predictive Control for Energy Efficient Locomotion of Legged Robots with Parallel Elasticity," has already garnered attention for its novel approach to integrating passive compliance with active control. This work is particularly notable for its potential to extend the operational range of legged robots in real-world applications, from search-and-rescue to planetary exploration. Ding’s research is at the forefront of making legged robots not just capable, but also practical and sustainable, addressing one of the field’s most persistent challenges: the trade-off between performance and energy consumption.
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Top Papers
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