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

EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data

Ruijie Zheng, Dantong Niu, Yuqi Xie, Jing Wang, Mengda Xu, Yunfan Jiang, Fernando Castaneda, Fengyuan Hu, You Liang Tan, Letian Fu, Trevor Darrell, Furong Huang, Yuke Zhu, Danfei Xu, Linxi Fan ยท 2026

Human behavior is among the most scalable sources of data for learning physical intelligence, yet how to effectively leverage it for dexterous manipulation remains unclear. While prior work demonstratโ€ฆ

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Engineering Preprint PDF DOI

Learning Humanoid End-Effector Control for Open-Vocabulary Visual Loco-Manipulation

Runpei Dong, Ziyan Li, Xialin He, Saurabh Gupta ยท 2026

Visual loco-manipulation of arbitrary objects in the wild with humanoid robots requires accurate end-effector (EE) control and a generalizable understanding of the scene via visual inputs (e.g., RGB-Dโ€ฆ

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Learning to unfold cloth: Scaling up world models to deformable object manipulation

Jack Rome, Stephen James, Subramanian Ramamoorthy ยท 2026

Learning to manipulate cloth is both a paradigmatic problem for robotic research and a problem of immediate relevance to a variety of applications ranging from assistive care to the service industry. โ€ฆ

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Cryo-SWAN: the Multi-Scale Wavelet-decomposition-inspired Autoencoder Network for molecular density representation of molecular volumes

Rui Li, Artsemi Yushkevich, Mikhail Kudryashev, Artur Yakimovich ยท 2026

Learning robust representations of 3D shapes from voxelized data is essential for advancing AI methods in biomedical imaging. However, most contemporary 3D computer vision approaches operate on point โ€ฆ

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Engineering Preprint PDF DOI

Active RIS-Assisted MIMO System for Vital Signs Extraction: ISAC Modeling, Deep Learning, and Prototype Measurements

De-Ming Chian, Chao-Kai Wen, Feng-Ji Chen, Yi-Jie Sun, Fu-Kang Wang ยท 2026

We present the RIS-VSign system, an active reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) framework for vital sโ€ฆ

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Learning Physics from Pretrained Video Models: A Multimodal Continuous and Sequential World Interaction Models for Robotic Manipulation

Zijian Song, Qichang Li, Sihan Qin, Yuhao Chen, Tianshui Chen, Liang Lin, Guangrun Wang ยท 2026

The scarcity of large-scale robotic data has motivated the repurposing of foundation models from other modalities for policy learning. In this work, we introduce PhysGen (Learning Physics from Pretraiโ€ฆ

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VIGOR: Visual Goal-In-Context Inference for Unified Humanoid Fall Safety

Osher Azulay, Zhengjie Xu, Andrew Scheffer, Stella X. Yu ยท 2026

Reliable fall recovery is critical for humanoids operating in cluttered environments. Unlike quadrupeds or wheeled robots, humanoids experience high-energy impacts, complex whole-body contact, and larโ€ฆ

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Engineering Preprint PDF DOI

Certifying Hamilton-Jacobi Reachability Learned via Reinforcement Learning

Prashant Solanki, Isabelle El-Hajj, Jasper J. van Beers, Erik-Jan van Kampen, Coen C. de Visser ยท 2026

We present a framework to \emph{certify} Hamilton--Jacobi (HJ) reachability learned by reinforcement learning (RL). Building on a discounted initial time \emph{travel-cost} formulation that makes smalโ€ฆ

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Dual-Quadruped Collaborative Transportation in Narrow Environments via Safe Reinforcement Learning

Zhezhi Lei, Zhihai Bi, Wenxin Wang, Jun Ma ยท 2026

Collaborative transportation, where multiple robots collaboratively transport a payload, has garnered significant attention in recent years. While ensuring safe and high-performance inter-robot collabโ€ฆ

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Machine Learning Driven Prediction of the Behavior of Biohybrid Actuators

Michail-Antisthenis Tsompanas, Marco Perez Hernandez, Faisal Abdul-Fattah, Karim Elhakim, Mostafa Ibrahim, Judith Fuentes, Florencia Lezcano, Riccardo Collu, Massimo Barbaro, Stefano Lai, Samuel Sanchez, Andrew Adamatzky ยท 2026

Skeletal muscle-based biohybrid actuators have proved to be a promising component in soft robotics, offering efficient movement. However, their intrinsic biological variability and nonlinearity pose sโ€ฆ

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Markerless Robot Detection and 6D Pose Estimation for Multi-Agent SLAM

Markus Rueggeberg, Maximilian Ulmer, Maximilian Durner, Wout Boerdijk, Marcus Gerhard Mueller, Rudolph Triebel, Riccardo Giubilato ยท 2026

The capability of multi-robot SLAM approaches to merge localization history and maps from different observers is often challenged by the difficulty in establishing data association. Loop closure detecโ€ฆ

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Impact of Preprocessing on Neural Network-Based RSS/AoA Positioning

Omid Abbassi Aghda, Slavisa Tomic, Oussama Ben Haj Belkacem, Joao Guerreiro, Nuno Souto, Michal Szczachor, Rui Dinis ยท 2026

Hybrid received signal strength (RSS)-angle of arrival (AoA)-based positioning offers low-cost distance estimation and high-resolution angular measurements. Still, it comes at a cost of inherent nonliโ€ฆ

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Color-based Emotion Representation for Speech Emotion Recognition

Ryotaro Nagase, Ryoichi Takashima, Yoichi Yamashita ยท 2026

Speech emotion recognition (SER) has traditionally relied on categorical or dimensional labels. However, this technique is limited in representing both the diversity and interpretability of emotions. โ€ฆ

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SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks

Zirui Zang, Ahmad Amine, Nick-Marios T. Kokolakis, Truong X. Nghiem, Ugo Rosolia, Rahul Mangharam ยท 2026

Robots executing iterative tasks in complex, uncertain environments require control strategies that balance robustness, safety, and high performance. This paper introduces a safe information-theoreticโ€ฆ

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Alpha-RF: Automated RF-Filter-Circuit Design with Neural Simulator and Reinforcement Learning

Nhat Tran, Chenjie Hao, Alexander Stameroff, Anh-Vu Pham, Yubei Chen ยท 2026

Accurate, high-performance radio-frequency (RF) filter circuits are ubiquitous in radio-frequency communication and sensing systems for accepting and rejecting signals at desired frequencies. Conventiโ€ฆ

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Discovering Unknown Inverter Governing Equations via Physics-Informed Sparse Machine Learning

Jialin Zheng, Ruhaan Batta, Zhong Liu, Xiaonan Lu ยท 2026

Discovering the unknown governing equations of grid-connected inverters from external measurements holds significant attraction for analyzing modern inverter-intensive power systems. However, existingโ€ฆ

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Real time fault detection in 3D printers using Convolutional Neural Networks and acoustic signals

Muhammad Fasih Waheed, Shonda Bernadin ยท 2026

The reliability and quality of 3D printing processes are critically dependent on the timely detection of mechanical faults. Traditional monitoring methods often rely on visual inspection and hardware โ€ฆ

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MARLEM: A Multi-Agent Reinforcement Learning Simulation Framework for Implicit Cooperation in Decentralized Local Energy Markets

Nelson Salazar-Pena, Alejandra Tabares, Andres Gonzalez-Mancera ยท 2026

This paper introduces a novel, open-source MARL simulation framework for studying implicit cooperation in LEMs, modeled as a decentralized partially observable Markov decision process and implemented โ€ฆ

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Harnessing Implicit Cooperation: A Multi-Agent Reinforcement Learning Approach Towards Decentralized Local Energy Markets

Nelson Salazar-Pena, Alejandra Tabares, Andres Gonzalez-Mancera ยท 2026

This paper proposes implicit cooperation, a framework enabling decentralized agents to approximate optimal coordination in local energy markets without explicit peer-to-peer communication. We formulatโ€ฆ

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Autonomous Block Assembly for Boom Cranes with Passive Joint Dynamics: Integrated Vision MPC Control

Gerald Ebmer, Minh Nhat Vu, Tobias Gluck, Wolfgang Kemmetmuller ยท 2026

This paper presents an autonomous control framework for articulated boom cranes performing prefabricated block assembly in construction environments. The key challenge addressed is precise placement cโ€ฆ

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