167 citations · 502 across the 33 of their papers we have counts for
6 papers · 1 filter
ABatRe-Sim: A Comprehensive Framework for Automated Battery Recycling Simulation
Huanqing Wang, Kaixiang Zhang, Keyi Zhu +2
With the rapid surge in the number of on-road Electric Vehicles (EVs), the amount of spent lithium-ion (Li-ion) batteries is also expected to explosively grow. The spent battery pa…
Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving
Fengying Dang, Dong Chen, Jun Chen +1
Event-triggered model predictive control (eMPC) is a popular optimal control method with an aim to alleviate the computation and/or communication burden of MPC. However, it general…
Algorithm Design and Integration for a Robotic Apple Harvesting System
Kaixiang Zhang, Kyle Lammers, Pengyu Chu +3
Due to labor shortage and rising labor cost for the apple industry, there is an urgent need for the development of robotic systems to efficiently and autonomously harvest apples. I…
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement
Tianyu Shi, Dong Chen, Kaian Chen +1
Reinforcement learning (RL) is a powerful data-driven control method that has been largely explored in autonomous driving tasks. However, conventional RL approaches learn control p…
System Design and Control of an Apple Harvesting Robot
Kaixiang Zhang, Kyle Lammers, Pengyu Chu +2
There is a growing need for robotic apple harvesting due to decreasing availability and rising cost in labor. Towards the goal of developing a viable robotic system for apple harve…
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model
Dong Chen, Longsheng Jiang, Yue Wang +1
It is expected that many human drivers will still prefer to drive themselves even if the self-driving technologies are ready. Therefore, human-driven vehicles and autonomous vehicl…