Papers
2
Total Citations
11
H-Index
2
About
Hanying Sang is a leading researcher in space robotics and intelligent motion control, with a focus on enabling legged robots to navigate extreme extraterrestrial environments. Her work centers on the intersection of deep reinforcement learning (DRL) and robot locomotion, particularly for low-gravity settings like the Moon. Sang’s most notable contribution is the development of the “3M Architecture” for quadruped robots, which enhances DRL-based jumping strategies in lunar conditions—a breakthrough that addresses the complex dynamics of low-gravity obstacle negotiation. Her 2024 paper on this topic has already garnered 7 citations, reflecting its immediate impact on the field. She also advanced motion planning for space manipulators, using DDPG algorithms to achieve obstacle avoidance in constrained orbital environments (4 citations). Sang’s research is pivotal for future lunar exploration missions, where efficient, adaptive robot mobility is critical. Her work not only pushes the boundaries of autonomous robot control but also provides practical frameworks for deploying robots in hazardous, low-gravity terrains, making her a rising authority in space robotics and AI-driven locomotion.
Research Focus
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Top Papers
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