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20202026
most citedPhysics-Augmented Data-EnablEd Predictive Control for Eco-driving of Mixed Traffic Considering Diverse Human Behaviors

38 citations · 86 across the 30 of their papers we have counts for

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11 papers · 1 filter

cs.RO2026

Deep Reinforcement Learning-Enhanced Event-Triggered Data-Driven Predictive Control for a 3D Cable-Driven Soft Robotic Arm

Cheng Ouyang, Moeen Ul Islam, Kaixiang Zhang +3

Soft robots are challenging to control due to their nonlinear and time-varying dynamics. Data-enabled predictive control (DeePC) offers a model-free alternative by directly leverag…

cs.RO2026

A Modular Dual-Arm Apple Harvesting Robot with Enhanced Field Performance

Keyi Zhu, Kyle Lammers, Chaaran Arunachalam +3

Robotic apple harvesting offers a promising solution to labor shortages in commercial orchards, but low throughput and poor performance in orchard environments hinder its commercia…

cs.RO2025

Velocity-Form Data-Enabled Predictive Control of Soft Robots under Unknown External Payloads

Huanqing Wang, Kaixiang Zhang, Kyungjoon Lee +5

Data-driven control methods such as data-enabled predictive control (DeePC) have shown strong potential in efficient control of soft robots without explicit parametric models. Howe…

cs.RO2025

Direct Data-Driven Predictive Control for a Three-dimensional Cable-Driven Soft Robotic Arm

Cheng Ouyang, Moeen Ul Islam, Dong Chen +3

Soft robots offer significant advantages in safety and adaptability, yet achieving precise and dynamic control remains a major challenge due to their inherently complex and nonline…

cs.RO2025

Advancement and Field Evaluation of a Dual-arm Apple Harvesting Robot

Keyi Zhu, Kyle Lammers, Kaixiang Zhang +5

Apples are among the most widely consumed fruits worldwide. Currently, apple harvesting fully relies on manual labor, which is costly, drudging, and hazardous to workers. Hence, ro…

cs.RO2025

Data-Enabled Neighboring Extremal: Case Study on Model-Free Trajectory Tracking for Robotic Arm

Amin Vahidi-Moghaddam, Keyi Zhu, Kaixiang Zhang +2

Data-enabled predictive control (DeePC) has recently emerged as a powerful data-driven approach for efficient system controls with constraints handling capabilities. It performs op…

cs.RO2023★ 1 cited

High-Precision Fruit Localization Using Active Laser-Camera Scanning: Robust Laser Line Extraction for 2D-3D Transformation

Pengyu Chu, Zhaojian Li, Kaixiang Zhang +2

Recent advancements in deep learning-based approaches have led to remarkable progress in fruit detection, enabling robust fruit identification in complex environments. However, muc…

cs.RO2023★ 1 cited

Active Laser-Camera Scanning for High-Precision Fruit Localization in Robotic Harvesting: System Design and Calibration

Kaixiang Zhang, Pengyu Chu, Kyle Lammers +2

Robust and effective fruit detection and localization is essential for robotic harvesting systems. While extensive research efforts have been devoted to improving fruit detection,…

cs.RO2023

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…

cs.RO2022★ 3 cited

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…

cs.RO2020

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…