activity
20172021
most citedA Bio-inspired Collision Detecotr for Small Quadcopter

7 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2021

Profiling Visual Dynamic Complexity Using a Bio-Robotic Approach

Qinbing Fu, Tian Liu, Xuelong Sun +4

Visual dynamic complexity is a ubiquitous, hidden attribute of the visual world that every dynamic vision system is faced with. However, it is implicit and intractable which has ne…

cs.RO2019

ColCOS: A Multiple Pheromone Communication System for Swarm Robotics and Social Insects Research

Xuelong Sun, Tian Liu, Cheng Hu +2

In the last few decades we have witnessed how the pheromone of social insect has become a rich inspiration source of swarm robotics. By utilising the virtual pheromone in physical…

cs.RO2019

An LGMD Based Competitive Collision Avoidance Strategy for UAV

Jiannan Zhao, Xingzao Ma, Qinbing Fu +2

Building a reliable and efficient collision avoidance system for unmanned aerial vehicles (UAVs) is still a challenging problem. This research takes inspiration from locusts, which…

cs.NE2019

Synthetic Neural Vision System Design for Motion Pattern Recognition in Dynamic Robot Scenes

Qinbing Fu, Cheng Hu, Pengcheng Liu +1

Insects have tiny brains but complicated visual systems for motion perception. A handful of insect visual neurons have been computationally modeled and successfully applied for rob…

cs.CV20191 cited

Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review

Qinbing Fu, Hongxin Wang, Cheng Hu +1

Motion perception is a critical capability determining a variety of aspects of insects' life, including avoiding predators, foraging and so forth. A good number of motion detectors…

cs.NE20187 cited

A Bio-inspired Collision Detecotr for Small Quadcopter

Jiannan Zhao, Cheng Hu, Chun Zhang +2

Sense and avoid capability enables insects to fly versatilely and robustly in dynamic complex environment. Their biological principles are so practical and efficient that inspired…