GitHub

An object-based toolbox for robot dynamic simulation, analysis, control and planning.

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 ...
IEEE

Sunlight Algorithm: A Novel Shortest Path Planning Technique for Unmanned Surface Vehicles With Enhanced Search Efficiency

Abstract: This paper investigates the shortest path planning of unmanned surface vehicles (USV) in complicated marine environments. A novel path planning method called “sunlight algorithm” is first ...
IEEE

Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints

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 ...
Frontiers

Deep Reinforcement Learning Based Trajectory Planning Under Uncertain Constraints

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

Efficient codes and balanced networks

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 ...