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๐Ÿ” avoidance learning ๐Ÿ“‚ Engineering
Showing 39379 results for "avoidance learning" in Engineering
Engineering Preprint PDF DOI

One Ring to Rule Them All: Constrained Distributional Control for Massive-Scale Heterogeneous Robotic Ensemble Systems

Andres Arias, Wei Zhang, Haoyu Qian, Jr-Shin Li, Chuangchuang Sun ยท 2025

Ensemble control aims to steer a population of dynamical systems using a shared control input. This paper introduces a constrained ensemble control framework for parameterized, heterogeneous robotic sโ€ฆ

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Engineering Preprint PDF DOI

Quantum-Accelerated Deep Reinforcement Learning for Frequency Regulation Enhancement

Amin Masoumi, Mert Korkali ยท 2025

In modern power systems, frequency regulation is a fundamental prerequisite for ensuring system reliability and assessing the robustness of expansion projects. Conventional feedback control schemes, hโ€ฆ

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Engineering Preprint PDF DOI

Towards 6G Native-AI Edge Networks: A Semantic-Aware and Agentic Intelligence Paradigm

Chenyuan Feng, Anbang Zhang, Geyong Min, Yongming Huang, Tony Q. S. Quek, Xiaohu You ยท 2025

The evolution toward sixth-generation wireless systems positions intelligence as a native network capability, fundamentally transforming the design of radio access networks (RANs). Within this vision,โ€ฆ

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Engineering Preprint PDF DOI

Vertical Planetary Landing on Sloped Terrain Using Optical Flow Divergence Estimates

Hann Woei Ho, Ye Zhou ยท 2025

Autonomous landing on sloped terrain poses significant challenges for small, lightweight spacecraft, such as rotorcraft and landers. These vehicles have limited processing capability and payload capacโ€ฆ

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Engineering Preprint PDF DOI

ResponsibleRobotBench: Benchmarking Responsible Robot Manipulation using Multi-modal Large Language Models

Lei Zhang, Ju Dong, Kaixin Bai, Minheng Ni, Zoltan-Csaba Marton, Zhaopeng Chen, Jianwei Zhang ยท 2025

Recent advances in large multimodal models have enabled new opportunities in embodied AI, particularly in robotic manipulation. These models have shown strong potential in generalization and reasoningโ€ฆ

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Engineering Preprint PDF DOI

Learning Beamforming for Pinching Antenna System-Enabled ISAC in Low-Altitude Wireless Networks

Jia Guo, Yuanwei Liu, Arumugam Nallanathan ยท 2025

This work investigates the joint learning of pinching antenna (PA) positions and transmit beamforming for PA-aided integrated sensing and communication (ISAC) in the low-altitude wireless networks. Byโ€ฆ

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Engineering Preprint PDF DOI

Driving Beyond Privilege: Distilling Dense-Reward Knowledge into Sparse-Reward Policies

Feeza Khan Khanzada, Jaerock Kwon ยท 2025

We study how to exploit dense simulator-defined rewards in vision-based autonomous driving without inheriting their misalignment with deployment metrics. In realistic simulators such as CARLA, privileโ€ฆ

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Engineering Preprint PDF DOI

PINN vs LSTM: A Comparative Study for Steam Temperature Control in Heat Recovery Steam Generators

Mojtaba Fanoodi, Farzaneh Abdollahi, Mahdi Aliyari Shoorehdeli ยท 2025

This paper introduces a direct comparative study of Physics-Informed Neural Networks (PINNs) and Long Short-Term Memory (LSTM) networks for adaptive steam temperature control in Heat Recovery Steam Geโ€ฆ

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Engineering Preprint PDF DOI

Applied Neural Network-Based Active Control for Vortex-Induced Vibrations Suppression in a Two-Degree-of-Freedom Cylinder

Soha Ilbeigi, Ashkan Bagherzadeh, Alireza Sharifi ยท 2025

Vortex-Induced Vibrations (VIVs) of cylindrical structures present significant challenges in various engineering applications, including marine risers, tall buildings, and renewable energy systems. Heโ€ฆ

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Engineering Preprint PDF DOI

Hierarchical Vision Language Action Model Using Success and Failure Demonstrations

Jeongeun Park, Jihwan Yoon, Byungwoo Jeon, Juhan Park, Jinwoo Shin, Namhoon Cho, Kyungjae Lee, Sangdoo Yun, Sungjoon Choi ยท 2025

Prior Vision-Language-Action (VLA) models are typically trained on teleoperated successful demonstrations, while discarding numerous failed attempts that occur naturally during data collection. Howeveโ€ฆ

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Engineering Preprint PDF DOI

Autonomous Reinforcement Learning Robot Control with Intel's Loihi 2 Neuromorphic Hardware

Kenneth Stewart, Roxana Leontie, Samantha Chapin, Joe Hays, Sumit Bam Shrestha, Carl Glen Henshaw ยท 2025

We present an end-to-end pipeline for deploying reinforcement learning (RL) trained Artificial Neural Networks (ANNs) on neuromorphic hardware by converting them into spiking Sigma-Delta Neural Networโ€ฆ

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Engineering Preprint PDF DOI

Digital Twin-based Control Co-Design of Full Vehicle Active Suspensions via Deep Reinforcement Learning

Ying-Kuan Tsai, Yi-Ping Chen, Vispi Karkaria, Wei Chen ยท 2025

Active suspension systems are critical for enhancing vehicle comfort, safety, and stability, yet their performance is often limited by fixed hardware designs and control strategies that cannot adapt tโ€ฆ

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Engineering Preprint PDF DOI

OmniDexVLG: Learning Dexterous Grasp Generation from Vision Language Model-Guided Grasp Semantics, Taxonomy and Functional Affordance

Lei Zhang, Diwen Zheng, Kaixin Bai, Zhenshan Bing, Zoltan-Csaba Marton, Zhaopeng Chen, Alois Christian Knoll, Jianwei Zhang ยท 2025

Dexterous grasp generation aims to produce grasp poses that align with task requirements and human interpretable grasp semantics. However, achieving semantically controllable dexterous grasp synthesisโ€ฆ

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Engineering Preprint PDF DOI

Fault-Tolerant Control of Steam Temperature in HRSG Superheater under Actuator Fault Using a Sliding Mode Observer and PINN

Mojtaba Fanoodi, Farzaneh Abdollahi, Mahdi Aliyari Shoorehdeli ยท 2025

This paper presents a novel fault-tolerant control framework for steam temperature regulation in Heat Recovery Steam Generators (HRSGs) subject to actuator faults. Addressing the critical challenge ofโ€ฆ

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Engineering Preprint PDF DOI

Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN

Ghoshana Bista, Abbas Bradai, Emmanuel Moulay, Abdulhalim Dandoush ยท 2025

The growing demand for robust, scalable wireless networks in the 5G-and-beyond era has led to the deployment of Unmanned Aerial Vehicles (UAVs) as mobile base stations to enhance coverage in dense urbโ€ฆ

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Engineering Preprint PDF DOI

MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving

Jia Hu, Zhexi Lian, Xuerun Yan, Ruiang Bi, Dou Shen, Yu Ruan, Chunlong Xia, Haoran Wang ยท 2025

Autonomous Driving (AD) vehicles still struggle to exhibit human-like behavior in highly dynamic and interactive traffic scenarios. The key challenge lies in AD's limited ability to interact with surrโ€ฆ

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Engineering Preprint PDF DOI

Safety Reinforced Model Predictive Control (SRMPC): Improving MPC with Reinforcement Learning for Motion Planning in Autonomous Driving

Johannes Fischer, Marlon Steiner, Omer Sahin Tas, Christoph Stiller ยท 2025

Model predictive control (MPC) is widely used for motion planning, particularly in autonomous driving. Real-time capability of the planner requires utilizing convex approximation of optimal control prโ€ฆ

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Engineering Preprint PDF DOI

Sample-Efficient Model-Free Policy Gradient Methods for Stochastic LQR via Robust Linear Regression

Bowen Song, Sebastien Gros, Andrea Iannelli ยท 2025

Policy gradient algorithms are widely used in reinforcement learning and belong to the class of approximate dynamic programming methods. This paper studies two key policy gradient algorithms - the Natโ€ฆ

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Engineering Preprint PDF DOI

Crossing the Sim2Real Gap Between Simulation and Ground Testing to Space Deployment of Autonomous Free-flyer Control

Kenneth Stewart, Samantha Chapin, Roxana Leontie, Carl Glen Henshaw ยท 2025

Reinforcement learning (RL) offers transformative potential for robotic control in space. We present the first on-orbit demonstration of RL-based autonomous control of a free-flying robot, the NASA Asโ€ฆ

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Engineering Preprint PDF DOI

Autonomous Planning In-space Assembly Reinforcement-learning free-flYer (APIARY) International Space Station Astrobee Testing

Samantha Chapin, Kenneth Stewart, Roxana Leontie, Carl Glen Henshaw ยท 2025

The US Naval Research Laboratory's (NRL's) Autonomous Planning In-space Assembly Reinforcement-learning free-flYer (APIARY) experiment pioneers the use of reinforcement learning (RL) for control of frโ€ฆ

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