activity
20192021
most citedTowards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network

3 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2021

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…

cs.NE20213 cited

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),…

cs.RO20202 cited

Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation

Zhenshan Bing, Matthias Brucker, Fabrice O. Morin +2

Reinforcement learning algorithms such as hindsight experience replay (HER) and hindsight goal generation (HGG) have been able to solve challenging robotic manipulation tasks in mu…

cs.NE2020

Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle

Zhenshan Bing, Claus Meschede, Guang Chen +2

Building spiking neural networks (SNNs) based on biological synaptic plasticities holds a promising potential for accomplishing fast and energy-efficient computing, which is benefi…

cs.RO20191 cited

Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning

Zhenshan Bing, Christian Lemke, Zhuangyi Jiang +2

Similar to their counterparts in nature, the flexible bodies of snake-like robots enhance their movement capability and adaptability in diverse environments. However, this flexibil…