3 citations · 4 across the 4 of their papers we have counts for
5 papers
Optimizing Dynamic Balance in a Rat Robot via the Lateral Flexion of a Soft Actuated Spine
Yuhong Huang, Zhenshan Bing, Zitao Zhang +3
Balancing oneself using the spine is a physiological alignment of the body posture in the most efficient manner by the muscular forces for mammals. For this reason, we can see many…
Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions
Xiangtong Yao, Zhenshan Bing, Genghang Zhuang +4
Meta-reinforcement learning (meta-RL) is a promising approach that enables the agent to learn new tasks quickly. However, most meta-RL algorithms show poor generalization in multi-…
A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor
Genghang Zhuang, Carlo Cagnetta, Zhenshan Bing +2
Localization in the environment is an essential navigational capability for animals and mobile robots. In the indoor environment, the global localization problem remains challengin…
Towards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network
Zhenshan Bing, Amir EI Sewisy, Genghang Zhuang +4
As a vital cognitive function of animals, the navigation skill is first built on the accurate perception of the directional heading in the environment. Head direction cells (HDCs),…
A Biologically-Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor
Genghang Zhuang, Zhenshan Bing, Yuhong Huang +2
Simultaneous localization and mapping (SLAM) is one of the essential techniques and functionalities used by robots to perform autonomous navigation tasks. Inspired by the rodent hi…