1 citations · 1 across the 4 of their papers we have counts for
4 papers
Path planning for unmanned surface vehicle based on predictive artificial potential field. International Journal of Advanced Robotic Systems
Jia Song, Ce Hao, Jiangcheng Su
Path planning for high-speed unmanned surface vehicles requires more complex solutions to reduce sailing time and save energy. This article proposes a new predictive artificial pot…
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing
Shaoshu Su, Ce Hao, Catherine Weaver +3
Autonomous racing control is a challenging research problem as vehicles are pushed to their limits of handling to achieve an optimal lap time; therefore, vehicles exhibit highly no…
Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning
Ce Hao, Catherine Weaver, Chen Tang +3
Hierarchical reinforcement learning (RL) can accelerate long-horizon decision-making by temporally abstracting a policy into multiple levels. Promising results in sparse reward env…
Outracing Human Racers with Model-based Planning and Control for Time-trial Racing
Ce Hao, Chen Tang, Eric Bergkvist +4
Autonomous racing has become a popular sub-topic of autonomous driving in recent years. The goal of autonomous racing research is to develop software to control the vehicle at its…