The automatic identification system (AIS) tracks vessel movement by means of electronic
exchange of navigation data between vessels, with onboard transceiver, terrestrial, and/or …

We propose a framework for planning in unknown dynamic environments with probabilistic
safety guarantees using conformal prediction. Particularly, we design a model predictive …

Purpose The purpose of this paper is to provide a comprehensive and unified presentation
of recent developments in skid-steer wheeled mobile robots (SSWMR) with regard to its …

We present an information-theoretic approach to stochastic optimal control problems that
can be used to derive general sampling-based optimization schemes. This new …

Vehicle position estimation for intelligent vehicles requires not only highly accurate position
information but reliable and continuous information provision as well. A low-cost Global …

To operate with limited sensor horizons in unpredictable environments, autonomous robots
use a receding-horizon strategy to plan trajectories, wherein they execute a short plan while …

Autonomous vehicles that travel without considering the lane marks and utilizing all road
width have an opportunity to maximize the use of vehicles' performance. By taking …

Reinforcement learning is a promising approach to solving hard robotics tasks. An important
challenge is ensuring safety—eg, that a walking robot does not fall over or an autonomous …

Forecasting the motion of surrounding obstacles (vehicles, bicycles, pedestrians and etc.)
benefits the on-road motion planning for intelligent and autonomous vehicles. Complex …

Trajectory planning is one of the key and challenging tasks in autonomous driving. This
paper proposes a novel method that dynamically plans trajectories, with the aim to achieve …