Abstract Purpose of Review Current real-world interaction between humans and robots is
extremely limited. We present challenges that, if addressed, will enable humans and robots …

End-to-end approaches are one of the most promising solutions for autonomous vehicles
(AVs) decision-making. However, the deployment of these technologies is usually …

This paper is focused on planning fast, accurate, and optimal trajectories for autonomous
parking. Nominally, this task should be described as an optimal control problem (OCP) …

The challenge of solving the collision avoidance path planning problem lies in adaptively
selecting the optimal agent velocity in complex scenarios full of reciprocal obstacles. To …

There is a growing expectation to realize the autonomous dispatch on flight deck, where
dispatch trajectory planning is seen as the key technique. Optimal-control based method has …

Trajectory planning for automated parking has been widely known as more challenging than
that for on-road driving due to the nonconvex kinematics, high-dimensional collision …

Cooperative trajectory planning for autonomous vehicles has garnered significant attention
in structured environments, but corresponding methodologies for unstructured environments …

Road shoulders and slopes often appear in unstructured environments. They make 2.5 D
vehicle trajectory planning commonly seen in our daily life, which lies on a 2D manifold …

For letting mobile robots travel flexibly through complicated environments, increasing
attention has been paid to the whole-body collision evaluation. Most existing works either …

This letter is the first report from a series of IEEE TIV's Decentralized and Hybrid Workshops
(DHWs) on Intelligent Vehicles for Education (IV4E). The role of intelligent vehicles in …