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

Occlusion Handling by Pushing for Enhanced Fruit Detection

Ege Gursoy, Dana Kulic, Andrea Cherubini ยท 2026

In agricultural robotics, effective observation and localization of fruits present challenges due to occlusions caused by other parts of the tree, such as branches and leaves. These occlusions can resโ€ฆ

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Engineering Preprint PDF DOI

Improving INDI for Input Nonaffine Systems via Learning-Based Nonlinear Control Allocation

Adam Hallmark, Pan Zhao ยท 2026

This paper first demonstrates that applying standard incremental nonlinear dynamic inversion (INDI) with incremental control allocation (ICA) to input nonaffine systems relies on an untenable linear aโ€ฆ

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Engineering Preprint PDF DOI

Learning-Guided Force-Feedback Model Predictive Control with Obstacle Avoidance for Robotic Deburring

Krzysztof Wojciechowski, Ege Gursoy, Arthur Haffemayer, Sebastien Kleff, Vincent Bonnet, Florent Lamiraux, Nicolas Mansard ยท 2026

Model Predictive Control (MPC) is widely used for torque-controlled robots, but classical formulations often neglect real-time force feedback and struggle with contact-rich industrial tasks under collโ€ฆ

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Engineering Preprint PDF DOI

eVTOL Aircraft Energy Overhead Estimation under Conflict Resolution in High-Density Airspaces

Alex Zongo, Peng Wei ยท 2026

Electric vertical takeoff and landing (eVTOL) aircraft operating in high-density urban airspace must maintain safe separation through tactical conflict resolution, yet the energy cost of such maneuverโ€ฆ

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Engineering Preprint PDF DOI

HiPolicy: Hierarchical Multi-Frequency Action Chunking for Policy Learning

Jiyao Zhang, Zimu Han, Junhan Wang, Xionghao Wu, Shihong Lin, Jinzhou Li, Hongwei Fan, Ruihai Wu, Dongjiang Li, Hao Dong ยท 2026

Robotic imitation learning faces a fundamental trade-off between modeling long-horizon dependencies and enabling fine-grained closed-loop control. Existing fixed-frequency action chunking approaches sโ€ฆ

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Engineering Preprint PDF DOI

Staggered Integral Online Conformal Prediction for Safe Dynamics Adaptation with Multi-Step Coverage Guarantees

Daniel M. Cherenson, Dimitra Panagou ยท 2026

Safety-critical control of uncertain, adaptive systems often relies on conservative, worst-case uncertainty bounds that limit closed-loop performance. Online conformal prediction is a powerful data-drโ€ฆ

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Engineering Preprint PDF DOI

You're Pushing My Buttons: Instrumented Learning of Gentle Button Presses

Raman Talwar, Remko Proesmans, Thomas Lips, Andreas Verleysen, Francis wyffels ยท 2026

Learning contact-rich manipulation is difficult from cameras and proprioception alone because contact events are only partially observed. We test whether training-time instrumentation, i.e., object seโ€ฆ

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Engineering Preprint PDF DOI

Transfer Learning for Neural Parameter Estimation applied to Building RC Models

Fabian Raisch, Timo Germann, J. Nathan Kutz, Christoph Goebel, Benjamin Tischler ยท 2026

Parameter estimation for dynamical systems remains challenging due to non-convexity and sensitivity to initial parameter guesses. Recent deep learning approaches enable accurate and fast parameter estโ€ฆ

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Engineering Preprint PDF DOI

SAND: The Challenge on Speech Analysis for Neurodegenerative Disease Assessment

Giovanna Sannino, Ivanoe De Falco, Nadia Brancati, Laura Verde, Maria Frucci, Daniel Riccio, Vincenzo Bevilacqua, Antonio Di Marino, Lucia Aruta, Valentina Virginia Iuzzolino, Gianmaria Senerchia, Myriam Spisto, Raffaele Dubbioso ยท 2026

Recent advances in Artificial Intelligence (AI) and the exploration of noninvasive, objective biomarkers, such as speech signals, have encouraged the development of algorithms to support the early diaโ€ฆ

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Engineering Preprint PDF DOI

BiCoord: A Bimanual Manipulation Benchmark towards Long-Horizon Spatial-Temporal Coordination

Xingyu Peng, Chen Gao, Liankai Jin, Annan Li, Si Liu ยท 2026

Bimanual manipulation, i.e., the coordinated use of two robotic arms to complete tasks, is essential for achieving human-level dexterity in robotics. Recent simulation benchmarks, e.g., RoboTwin and Rโ€ฆ

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Engineering Preprint PDF DOI

Precise Aggressive Aerial Maneuvers with Sensorimotor Policies

Tianyue Wu, Guangtong Xu, Zihan Wang, Junxiao Lin, Tianyang Chen, Yuze Wu, Zhichao Han, Zhiyang Liu, Fei Gao ยท 2026

Precise aggressive maneuvers with lightweight onboard sensors remains a key bottleneck in fully exploiting the maneuverability of drones. Such maneuvers are critical for expanding the systems' accessiโ€ฆ

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Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization

Jannis Lubsen, Annika Eichler ยท 2026

This paper proposes a method for constructing one-step prediction tubes for nonlinear systems using reproducing kernel Hilbert spaces. We approximate a bounded reproducing kernel Hilbert space (RKHS) โ€ฆ

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Brain-to-Speech: Prosody Feature Engineering and Transformer-Based Reconstruction

Mohammed Salah Al-Radhi, Geza Nemeth, Andon Tchechmedjiev, Binbin Xu ยท 2026

This chapter presents a novel approach to brain-to-speech (BTS) synthesis from intracranial electroencephalography (iEEG) data, emphasizing prosody-aware feature engineering and advanced transformer-bโ€ฆ

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Thermal-GEMs: Generalized Models for Building Thermal Dynamics

Felix Koch, Fabian Raisch, Benjamin Tischler ยท 2026

Data-driven models for building thermal dynamics are a scalable approach for enabling energy-efficient operation through fault detection & diagnosis or advanced control. To obtain accurate models, meaโ€ฆ

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Engineering Preprint PDF DOI

Grounding Hierarchical Vision-Language-Action Models Through Explicit Language-Action Alignment

Theodor Wulff, Federico Tavella, Rahul Singh Maharjan, Manith Adikari, Angelo Cangelosi ยท 2026

Achieving robot transparency is a critical step toward effective human-robot collaboration. To be transparent, a robot's natural language communication must be consistent with its actions and explicitโ€ฆ

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Engineering Preprint PDF DOI

Uncovering Linguistic Fragility in Vision-Language-Action Models via Diversity-Aware Red Teaming

Baoshun Tong, Haoran He, Ling Pan, Yang Liu, Liang Lin ยท 2026

Vision-Language-Action (VLA) models have achieved remarkable success in robotic manipulation. However, their robustness to linguistic nuances remains a critical, under-explored safety concern, posing โ€ฆ

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Engineering Preprint PDF DOI

AI-Driven Modular Services for Accessible Multilingual Education in Immersive Extended Reality Settings: Integrating Speech Processing, Translation, and Sign Language Rendering

N.D. Tantaroudas, A.J. McCracken, I. Karachalios, E. Papatheou ยท 2026

This work introduces a modular platform that brings together six AI services, automatic speech recognition via OpenAI Whisper, multilingual translation through Meta NLLB, speech synthesis using AWS Poโ€ฆ

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Engineering Preprint PDF DOI

Structural Regularities of Cinema SDR-to-HDR Mapping in a Controlled Mastering Workflow: A Pixel-wise Case Study on ASC StEM2

Xin Zhang, Xiaoyi Chen ยท 2026

We present an empirical case study of cinema SDR-to-HDR mapping using ASC StEM2, a rare common-source dataset containing EXR scene-referred images and matched SDR/HDR cinema release masters from the sโ€ฆ

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Multimodal Deep Learning Method for Real-Time Spatial Room Impulse Response Computing

Zhiyu Li, Xinwen Yue, Shenghui Zhao, Jing Wang ยท 2026

We propose a multimodal deep learning model for VR auralization that generates spatial room impulse responses (SRIRs) in real time to reconstruct scene-specific auditory perception. Employing SRIRs asโ€ฆ

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Engineering Preprint PDF DOI

Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation

Jiahua Ma, Yiran Qin, Xin Wen, Yixiong Li, Yuyu Sun, Yulan Guo, Liang Lin, Ruimao Zhang ยท 2026

This paper addresses a fundamental problem of visuomotor policy learning for robotic manipulation: how to enhance robustness in out-of-distribution execution errors or dynamically re-routing trajectorโ€ฆ

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