46 citations · 60 across the 14 of their papers we have counts for
14 papers
Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data
Hongkuan Zhou, Zhenshan Bing, Xiangtong Yao +4
The growing interest in language-conditioned robot manipulation aims to develop robots capable of understanding and executing complex tasks, with the objective of enabling robots t…
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder
Zhenshan Bing, Yuan Meng, Yuqi Yun +4
Generative model-based deep clustering frameworks excel in classifying complex data, but are limited in handling dynamic and complex features because they require prior knowledge o…
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),…
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…
Meta-Reinforcement Learning in Broad and Non-Parametric Environments
Zhenshan Bing, Lukas Knak, Fabrice Oliver Robin +2
Recent state-of-the-art artificial agents lack the ability to adapt rapidly to new tasks, as they are trained exclusively for specific objectives and require massive amounts of int…
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…
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…
Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images
Mingchuan Zhou, Mahdi Hamad, Jakob Weiss +7
Ophthalmic microsurgery is known to be a challenging operation, which requires very precise and dexterous manipulation. Image guided robot-assisted surgery (RAS) is a promising sol…
Utilization-Based Scheduling of Flexible Mixed-Criticality Real-Time Tasks
Gang Chen, Nan Guan, Di Liu +4
Mixed-criticality models are an emerging paradigm for the design of real-time systems because of their significantly improved resource efficiency. However, formal mixed-criticality…
Planecell: Representing the 3D Space with Planes
Lei Fan, Ziyu Pan, Long Chen +1
Reconstruction based on the stereo camera has received considerable attention recently, but two particular challenges still remain. The first concerns the need to aggregate similar…