The optimal control problem for the kinematic bicycle model is considered where the
trajectories are required to satisfy the safety constraints in the continuous-time sense. Based …

Orchard harvest-aid platforms are used in high-density orchards with SNAP (Simple,
Narrow, Accessible, and Productive) tree architectures. In these orchards, trees are planted …

Robot swarm is a hot spot in robotic research community. In this paper, we propose a
decentralized framework for car-like robotic swarm which is capable of real-time planning in …

Efficient speed planning is crucial for the safe and comfortable navigation of autonomous
vehicles in dynamic environments. This paper introduces a novel energy-efficient, jerk …

Velocity Planning for self-driving vehicles in a complex environment is one of the most
challenging tasks. It must satisfy the following three requirements: safety with regards to …

The rise of artificial intelligence has drawn attention to self-driving cars. Although a
commercial autonomous vehicle still have not appeared on market, autonomous race cars …

In this paper, a safety-guaranteed game-theoretical velocity planning framework in a
hierarchical manner is proposed to generate safe, ride comfort, and travel efficiency …

Left-turning at unsignalized intersections poses significant challenges for automated
vehicles. On this regard, Deep Reinforcement Learning (DRL) methods can achieve better …

In this paper, we develop a framework to enhance the control of autonomous vehicles within
signalized intersections by integrating system dynamics with imperfect sensor data …

Smooth and safe speed planning is imperative for the successful deployment of autonomous
vehicles. This paper presents a mathematical formulation for the optimal speed planning of …