Neuromorphic electronics have great potential in the emulation of the sensory, cognitive, self-
learning, and actuating functions of robots. While typically implemented in rigid silicon …

To enable smart home applications, embedding home monitoring systems with different
sensors can be a feasible remedy to capture the multimodal sensory information from daily …

Understanding why deep neural networks and machine learning algorithms act as they do is
a difficult endeavor. Neuroscientists are faced with similar problems. One way biologists …

An essential characteristic that an exploration robot must possess is to be autonomous. This
is necessary because it will usually do its task in remote or hard-to-reach places. One of the …

To overcome the energy efficiency bottleneck of the von Neumann architecture and scaling
limit of silicon transistors, an emerging but promising solution is neuromorphic computing, a …

Neuromorphic computing has many opportunities in future autonomous systems, especially
those that will operate at the edge. However, there are relatively few demonstrations of …

In recent years, automatic mobile robots (AMRs) have been widely concerned in various
fields, such as material handling, unmanned aerial vehicle (UAV) cruise, automatic factories …

Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with
a number of advantages over traditional cameras. Instead of wastefully sending entire …

This paper mainly studies the transition gait planning by updating the parameters of snack
robot motion control function through ROS nodes, including a straight running gait into a …

This work investigates locomotion efficiency optimization and adaptive path following of
snake‐like robots in a complex environment. To optimize the locomotion efficiency, it takes …