17 citations · 85 across the 43 of their papers we have counts for
5 papers · 1 filter
Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving
Lin-Chi Wu, Zengjie Zhang, Sofie Haesaert +2
Reinforcement learning (RL) is an effective approach to motion planning in autonomous driving, where an optimal driving policy can be automatically learned using the interaction da…
A Novel Vector-Field-Based Motion Planning Algorithm for 3D Nonholonomic Robots
Xiaodong He, Weijia Yao, Zhiyong Sun +1
This paper focuses on the motion planning for mobile robots in 3D, which are modelled by 6-DOF rigid body systems with nonholonomic kinematics constraints. We not only specify the…
Guiding vector fields for the distributed motion coordination of mobile robots
Weijia Yao, Hector Garcia de Marina, Zhiyong Sun +1
We propose coordinating guiding vector fields to achieve two tasks simultaneously with a team of robots: first, the guidance and navigation of multiple robots to possibly different…
Distributed coordinated path following using guiding vector fields
Weijia Yao, Hector Garcia de Marina, Zhiyong Sun +1
It is essential in many applications to impose a scalable coordinated motion control on a large group of mobile robots, which is efficient in tasks requiring repetitive execution,…
Circular formation control of fixed-wing UAVs with constant speeds
Hector Garcia de Marina, Zhiyong Sun, Murat Bronz +1
In this paper we propose an algorithm for stabilizing circular formations of fixed-wing UAVs with constant speeds. The algorithm is based on the idea of tracking circles with diffe…