As science and technology advance rapidly, robots are being used more and more in exploration missions. From space exploration to deep-ocean mapping to complex and variable rescue missions, robots are ...

Sampling-based planning algorithms like Rapidly-exploring Random Tree (RRT) are versatile in solving path planning problems. RRT* offers asymptotic optimality but requires growing the tree uniformly ...

Abstract: Efficient navigation through uneven terrain remains a challenging endeavor for autonomous robots. We propose a new geometric-based uneven terrain mapless navigation framework combining a ...

The concept of this toolbox is a hierachy of dynamic system objects, from the most generic representation (any non-linear differential equations) to more system specific representations such as ...

Evolutionary biologists have long been interested in studying the tempo and mode of emergence and extinction of species. One widely used approach to study rates of speciation and extinction is the ...

With the advance in algorithms, deep reinforcement learning (DRL) offers solutions to trajectory planning under uncertain environments. Different from traditional ...

Since the first neural recordings by Adrian in 1926 (ref. 1), it has become accepted wisdom that neurons communicate information with their firing rates—that is, the number of spikes within a certain ...