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๐Ÿ” user computer interface ๐Ÿ“‚ Engineering
Showing 46809 results for "user computer interface" in Engineering
Engineering Preprint PDF DOI

From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data

Linfang Zheng, Zikai Ouyang, Chen Wang, Jia Pan, Wei Zhang ยท 2026

Video is a scalable observation of physical dynamics: it captures how objects move, how contact unfolds, and how scenes evolve under interaction -- all without requiring robot action labels. Yet transโ€ฆ

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Engineering Preprint PDF DOI

A Multi-View 3D Telepresence System for XR Robot Teleoperation

Enes Ulas Dincer, Manuel Zaremski, Alexandra Nick, Elias Wucher, Barbara Deml, Gerhard Neumann ยท 2026

Robot teleoperation is critical for applications such as remote maintenance, fleet robotics, search and rescue, and data collection for robot learning. Effective teleoperation requires intuitive 3D viโ€ฆ

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Engineering Preprint PDF DOI

MALEFA: Multi-grAnularity Learning and Effective False Alarm Suppression for Zero-shot Keyword Spotting

Lo-Ya Li, Tien-Hong Lo, Jeih-Weih Hung, Shih-Chieh Huang, Berlin Chen ยท 2026

User-defined keyword spotting (KWS) without resorting to domain-specific pre-labeled training data is of fundamental importance in building adaptable and personalized voice interfaces. However, such sโ€ฆ

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Engineering Preprint PDF DOI

UniSurgSAM: A Unified Promptable Model for Reliable Surgical Video Segmentation

Haofeng Liu, Ziyue Wang, Alex Y. W. Kong, Guanyi Qin, Yunqiu Xu, Chang Han Low, Mingqi Gao, Lap Yan Lennon Chan, Yueming Jin ยท 2026

Surgical video segmentation is fundamental to computer-assisted surgery. In practice, surgeons need to dynamically specify targets throughout extended procedures, using heterogeneous cues such as visuโ€ฆ

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Engineering Preprint PDF DOI

HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving

Wenhao Yao, Xinglong Sun, Zhenxin Li, Shiyi Lan, Zi Wang, Jose M. Alvarez, Zuxuan Wu ยท 2026

End-to-end planning has emerged as a dominant paradigm for autonomous driving, where recent models often adopt a scoring-selection framework to choose trajectories from a large set of candidates, withโ€ฆ

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Engineering Preprint PDF DOI

Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts

Xiaowei Jiang, Sudong Shang, Adrian Wilkinson, Michael L. Platt, Da Xiao, Bening Cao, Thomas Do ยท 2026

P300-based brain-computer interfaces (BCIs) are widely used for communication, but population heterogeneity may alter the neural patterns available for decoding. Prior work has mainly examined such diโ€ฆ

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Engineering Preprint PDF DOI

Drift-Based Policy Optimization: Native One-Step Policy Learning for Online Robot Control

Yuxuan Gao, Yedong Shen, Shiqi Zhang, Wenhao Yu, Yifan Duan, Jia pan, Jiajia Wu, Jiajun Deng, Yanyong Zhang ยท 2026

Although multi-step generative policies achieve strong performance in robotic manipulation by modeling multimodal action distributions, they require multi-step iterative denoising at inference time. Eโ€ฆ

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Engineering Preprint PDF DOI

Optimizing Neurorobot Policy under Limited Demonstration Data through Preference Regret

Viet Dung Nguyen, Yuhang Song, Anh Nguyen, Jamison Heard, Reynold Bailey, Alexander Ororbia ยท 2026

Robot reinforcement learning from demonstrations (RLfD) assumes that expert data is abundant; this is usually unrealistic in the real world given data scarcity as well as high collection cost. Furtherโ€ฆ

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Physics-Informed Transformer for Real-Time High-Fidelity Topology Optimization

Aaron Lutheran, Srijan Das, Alireza Tabarraei ยท 2026

Topology optimization is used for the design of high-performance structures but remains fundamentally limited by its iterative nature, requiring repeated finite element analyses that prevent real-timeโ€ฆ

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RAIN-FIT: Learning of Fitting Surfaces and Noise Distribution from Large Data Sets

Omar M. Sleem, Sahand Kiani, Constantino M. Lagoa ยท 2026

This paper proposes a method for estimating a surface that contains a given set of points from noisy measurements. More precisely, by assuming that the surface is described by the zero set of a functiโ€ฆ

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How Sensor Attacks Transfer Across Lie Groups

Rijad Alisic, Saurabh Amin ยท 2026

Sensor spoofing analysis in cyber-physical systems is predominantly confined to linear state spaces, where attack transferability is trivial. On Lie groups, however, the noncommutativity of the dynamiโ€ฆ

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Do Robots Need Body Language? Comparing Communication Modalities for Legible Motion Intent in Human-Shared Spaces

Jonathan Albert Cohen, Kye Shimizu, Allen Song, Vishnu Bharath, Kent Larson, Pattie Maes ยท 2026

Robots in shared spaces often move in ways that are difficult for people to interpret, placing the burden on humans to adapt. High-DoF robots exhibit motion that people read as expressive, intentionalโ€ฆ

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ARES OS 2.0: An Orchestration Software Suite for Autonomous Experimentation Systems and Self-Driving Labs

Arthur W. N. Sloan, Robert W. Waelder, Morgen L. Smith, Nicholas Kleiner, Arnas Babeckis, Jason Wheeler, Daylond Hooper, Benji Maruyama ยท 2026

ARES OS 2.0 (hereinafter ARES OS) is an open-source software suite to enable laboratory automation and closed-loop autonomous experimentation. Its function is to orchestrate experimental actions and dโ€ฆ

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DRIFT: Deep Restoration, ISP Fusion, and Tone-mapping

Soumendu Majee, Joshua Peter Ebenezer, Abhinau K. Venkataramanan, Weidi Liu, Thilo Balke, Zeeshan Nadir, Sreenithy Chandran, Seok-Jun Lee, Hamid Rahim Sheikh ยท 2026

Smartphone cameras have gained immense popularity with the adoption of high-resolution and high-dynamic range imaging. As a result, high-performance camera Image Signal Processors (ISPs) are crucial iโ€ฆ

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Surrogate Model-Based Near-Optimal Gain Selection for Approach-Angle-Constrained Two-Phase Pure Proportional Navigation

Abhigyan Roy, Shreeya Padte, Abel Viji George, Vivek A, Satadal Ghosh ยท 2026

In guidance literature, Pure Proportional Navigation (PPN) guidance is widely used for aerodynamically driven vehicles. A two-phase extension of PPN (2pPPN), which uses different navigation gains for โ€ฆ

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Minimal Information Control Invariance via Vector Quantization

Ege Yuceel, Teodor Tchalakov, Sayan Mitra ยท 2026

Safety-critical autonomous systems must satisfy hard state constraints under tight computational and sensing budgets, yet learning-based controllers are often far more complex than safe operation requโ€ฆ

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An Open-Source LiDAR and Monocular Off-Road Autonomous Navigation Stack

Remi Marsal, Quentin Picard, Adrien Poire, Sebastien Kerbourc'h, Thibault Toralba, Clement Yver, Alexandre Chapoutot, David Filliat ยท 2026

Off-road autonomous navigation demands reliable 3D perception for robust obstacle detection in challenging unstructured terrain. While LiDAR is accurate, it is costly and power-intensive. Monocular deโ€ฆ

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Self-Supervised Graph Neural Networks for Full-Scale Tertiary Voltage Control

Balthazar Donon, Geoffroy Jamgotchian, Hugo Kulesza, Louis Wehenkel ยท 2026

A growing portion of operators workload is dedicated to Tertiary Voltage Control (TVC), namely the regulation of voltages by means of adjusting a series of setpoints and connection status. TVC may be โ€ฆ

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Energetic Resilience under Temporal Logic Specifications

Ratnangshu Das, Ram Padmanabhan, Melkior Ornik, Pushpak Jagtap ยท 2026

In environments with uncertainties or undesirable influences, control systems can require additional energy to achieve their task while remaining resilient to these influences. In this paper, we preseโ€ฆ

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On observer forms for hyperbolic PDEs with boundary dynamics

Luca Mayer, Frank Woittennek ยท 2026

A hyperbolic observer canonical form (HOCF) for linear hyperbolic PDEs with boundary dynamics is presented. The transformation to the HOCF is based on a general procedure that uses so-called observabiโ€ฆ

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