3 citations · 8 across the 9 of their papers we have counts for
10 papers
Meta-Reinforcement Learning via Language Instructions
Zhenshan Bing, Alexander Koch, Xiangtong Yao +2
Although deep reinforcement learning has recently been very successful at learning complex behaviors, it requires a tremendous amount of data to learn a task. One of the fundamenta…
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),…
3D Object Detection and Tracking Based on Streaming Data
Xusen Guo, Jiangfeng Gu, Silu Guo +5
Recent approaches for 3D object detection have made tremendous progresses due to the development of deep learning. However, previous researches are mostly based on individual frame…
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…
PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones
Gang Chen, Shengyu He, Haitao Meng +1
Over the last years, a great success of deep neural networks (DNNs) has been witnessed in computer vision and other fields. However, performance and power constraints make it still…