activity
20232026
most citedFoundation Model-Based Apple Ripeness and Size Estimation for Selective Harvesting

13 citations · 19 across the 18 of their papers we have counts for

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Showing cs.ROShow all

8 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,…