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๐Ÿ” bo zhang ๐Ÿ“‚ Engineering
Showing 165 results for "bo zhang" in Engineering
Engineering Preprint PDF DOI

Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems

Jiabao Ji, Yongchao Chen, Yang Zhang, Ramana Rao Kompella, Chuchu Fan, Gaowen Liu, Shiyu Chang ยท 2026

Multi-robot control in cluttered environments is a challenging problem that involves complex physical constraints, including robot-robot collisions, robot-obstacle collisions, and unreachable motions.โ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Reachability Analysis Using Matrix Perturbation Theory

Peng Xie, Abdulla Fawzy, Zhen Zhang, Amr Alanwar ยท 2026

We propose a matrix zonotope perturbation framework that leverages matrix perturbation theory to characterize how noise-induced distortions alter the dynamics within sets of models. The framework deriโ€ฆ

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Engineering Preprint PDF DOI

Reliable Online Resource Allocation for Multi-User Semantic Communications: A Constraint Bayesian Optimization Approach

Huawei Hou, Suzhi Bi, Xian Li, Haixia Zhang, Zhi Quan ยท 2026

Semantic communication has been increasingly integrated into edge computing systems for reconstruction tasks, owing to its advantages in source compression, robustness to channel noise, and task execuโ€ฆ

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Engineering Preprint PDF DOI

Second Order Physics-Informed Learning of Road Density using Probe Vehicles

S. Betancur Giraldo, J. M{aa}rtensson, M. Barreau ยท 2026

We propose a Physics Informed Learning framework for reconstructing traffic density from sparse trajectory data. The approach combines a second-order Aw-Rascle and Zhang model with a first-order trainโ€ฆ

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Engineering Preprint PDF DOI

STRIDE: Post-Training LLMs to Reason and Refine Bio-Sequences via Edit Trajectories

Daiheng Zhang, Shiyang Zhang, Sizhuang He, Yangtian Zhang, Syed Asad Rizvi, David van Dijk ยท 2026

Discrete biological sequence optimization requires iterative refinement under strict syntactic constraints. Diffusion models offer progressive refinement but do not naturally expose controllable discrโ€ฆ

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Engineering Preprint PDF DOI

Computation-Accuracy Trade-Off in Service-Oriented Model-Based Control

Hazem Ibrahim, Julius Beerwerth, Lorenz Dorschel, Bassam Alrifaee ยท 2026

Representing a control system as a Service-Oriented Architecture (SOA)-referred to as Service-Oriented Model-Based Control (SOMC)-enables runtime-flexible composition of control loop elements. This paโ€ฆ

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Engineering Preprint PDF DOI

Economic and Technical Feasibility of V2G in Non-Road Mobile Machinery sector

Ro{ss}ler Nicolas, Khan Irfan, Schade Thomas, Wellmann Christoph, Cao Xinyuan, Kopynske Milan, Xia Feihong, Savelsberg Rene, Andert Jakob ยท 2025

This paper investigates the economic and technical feasibility of integrating Vehicle-to-Grid (V2G) technology in the Non-Road Mobile Machinery (NRMM) sector. These often-idling assets, with their subโ€ฆ

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Engineering Preprint PDF DOI

Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks

Deepak Ingole, Valentin Bhend, Shiva Ganesh Murali, Oliver Dobrich, Alisa Rupenyan ยท 2025

Manufacturing processes are often perturbed by drifts in the environment and wear in the system, requiring control re-tuning even in the presence of repetitive operations. This paper presents an iteraโ€ฆ

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Engineering Preprint PDF DOI

Bayesian Optimization Parameter Tuning Framework for a Lyapunov Based Path Following Controller

Zhewen Zheng, Wenjing Cao, Hongkang Yu, Mo Chen, Takashi Suzuki ยท 2025

Parameter tuning in real-world experiments is constrained by the limited evaluation budget available on hardware. The path-following controller studied in this paper reflects a typical situation in noโ€ฆ

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Engineering Preprint PDF DOI

Bayesian Optimization for Automatic Tuning of Torque-Level Nonlinear Model Predictive Control

Gabriele Fadini, Deepak Ingole, Tong Duy Son, Alisa Rupenyan ยท 2025

This paper presents an auto-tuning framework for torque-based Nonlinear Model Predictive Control (nMPC), where the MPC serves as a real-time controller for optimal joint torque commands. The MPC paramโ€ฆ

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Engineering Preprint PDF DOI

How to Capture Human Preference: Commissioning of a Robotic Use-Case via Preferential Bayesian Optimisation

Sander De Witte, Jeroen Taets, Andras Retzler, Guillaume Crevecoeur, Tom Lefebvre ยท 2025

The popularity of Bayesian Optimization (BO) to automate or support the commissioning of engineering systems is rising. Conventional BO, however, relies on the availability of a scalar objective functโ€ฆ

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Engineering Preprint PDF DOI

Bayesian Optimization for Non-Cooperative Game-Based Radio Resource Management

Yunchuan Zhang, Jiechen Chen, Junshuo Liu, Robert C. Qiu ยท 2025

Radio resource management in modern cellular networks often calls for the optimization of complex utility functions that are potentially conflicting between different base stations (BSs). Coordinatingโ€ฆ

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Engineering Preprint PDF DOI

TokCom-UEP: Semantic Importance-Matched Unequal Error Protection for Resilient Image Transmission

Kaizheng Zhang, Zuolin Jin, Zhihang Cheng, Ming Zeng, Li Qiao, Zesong Fei ยท 2025

Based on the provided LaTeX code, here is the metadata for the submission form: Title: TokCom-UEP: Semantic Importance-Matched Unequal Error Protection for Resilient Image Transmission Author(s): Kaizโ€ฆ

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Engineering Preprint PDF DOI

Event-Triggered Regulation of Mixed-Autonomy Traffic Under Varying Traffic Conditions

Yihuai Zhang, Huan Yu ยท 2025

Modeling and congestion mitigation of mixed-autonomy traffic systems consisting of human-driven vehicles (HVs) and autonomous vehicles (AVs) have become increasingly critical with the rapid developmenโ€ฆ

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Engineering Preprint PDF DOI

Utilizing Bayesian Optimization for Timetable-Independent Railway Junction Performance Determination

Tamme Emunds, Paul Brunzema, Sebastian Trimpe, Nils Nie{ss}en ยท 2025

The efficiency of railway infrastructure is significantly influenced by the mix of trains that utilize it, as different service types have competing operational requirements. While freight services miโ€ฆ

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Engineering Preprint PDF DOI

RAISE: A self-driving laboratory for interfacial property formulation discovery

Mohammad Nazeri, Sheldon Mei, Jeffrey Watchorn, Alex Zhang, Erin Ng, Tao Wen, Abhijoy Mandal, Kevin Golovin, Alan Aspuru-Guzik, Frank Gu ยท 2025

Surface wettability is a critical design parameter for biomedical devices, coatings, and textiles. Contact angle measurements quantify liquid-surface interactions, which depend strongly on liquid formโ€ฆ

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Engineering Preprint PDF DOI

Single-Rod Brachiation Robot: Mechatronic Control Design and Validation of Prejump Phases

Juraj Lieskovsky, Hijiri Akahane, Aoto Osawa, Jaroslav Busek, Ikuo Mizuuchi, Tomas Vyhlidal ยท 2025

A complete mechatronic design of a minimal configuration brachiation robot is presented. The robot consists of a single rigid rod with gripper mechanisms attached to both ends. The grippers are used tโ€ฆ

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Engineering Preprint PDF DOI

Extensions of a Line-Graph-Based Method for Token Routing in Decentralized Exchanges

Yu Zhang, Claudio J.Tessone ยท 2025

Decentralized exchanges (DEXs) form a cornerstone of the decentralized finance (DeFi) ecosystem, processing token trades worth billions of dollars daily. Yet, a significant fraction of these trades arโ€ฆ

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Engineering Preprint PDF DOI

Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation

Fabian Flurenbrock, Yanick Buchel, Johannes Kohler, Marianne Schmid Daners, Melanie N. Zeilinger ยท 2025

This paper introduces a learning-based control framework for a soft robotic actuator system designed to modulate intracranial pressure (ICP) waveforms, which is essential for studying cerebrospinal flโ€ฆ

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Engineering Preprint PDF DOI

NAMOUnc: Navigation Among Movable Obstacles with Decision Making on Uncertainty Interval

Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Shoubin Chen, David Filliat ยท 2025

Navigation among movable obstacles (NAMO) is a critical task in robotics, often challenged by real-world uncertainties such as observation noise, model approximations, action failures, and partial obsโ€ฆ

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