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

System Design of the Ultra Mobility Vehicle: A Driving, Balancing, and Jumping Bicycle Robot

Benjamin Bokser, Daniel Gonzalez, Aaron Preston, Alex Bahner, Annika Wollschlager, Arianna Ilvonen, Asa Eckert-Erdheim, Ashwin Khadke, Bilal Hammoud, Dean Molinaro, Fabian Jenelten, Henry Mayne, Howie Choset, Igor Bogoslavskyi, Itic Tinman, James Tigue, Jan Preisig, Kaiyu Zheng, Kenny Sharma, Kim Ang, Laura Lee, Liana Margolese, Nicole Lin, Oscar Frias, Paul Drews, Ravi Boggavarapu, Rick Burnham, Samuel Zapolsky, Sangbae Kim, Scott Biddlestone, Sean Mayorga, Shamel Fahmi, Surya Singh, Tyler McCollum, Velin Dimitrov, William Moyne, Yu-Ming Chen, Farbod Farshidian, Marco Hutter, David Perry, Al Rizzi, Gabe Nelson ยท 2026

Trials cyclists and mountain bike riders can hop, jump, balance, and drive on one or both wheels. This versatility allows them to achieve speed and energy-efficiency on smooth terrain and agility overโ€ฆ

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Engineering Preprint PDF DOI

Behavioral Cloning for Robotic Connector Assembly: An Empirical Study

Andreas Kernbach, Daniel Bargmann, Werner Kraus, Marco F. Huber ยท 2026

Automating the assembly of wire harnesses is challenging in automotive, electrical cabinet, and aircraft production, particularly due to deformable cables and a high variance in connector geometries. โ€ฆ

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Engineering Preprint PDF DOI

Force Policy: Learning Hybrid Force-Position Control Policy under Interaction Frame for Contact-Rich Manipulation

Hongjie Fang, Shirun Tang, Mingyu Mei, Haoxiang Qin, Zihao He, Jingjing Chen, Ying Feng, Chenxi Wang, Wanxi Liu, Zaixing He, Cewu Lu, Shiquan Wang ยท 2026

Contact-rich manipulation demands human-like integration of perception and force feedback: vision should guide task progress, while high-frequency interaction control must stabilize contact under unceโ€ฆ

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Engineering Preprint PDF DOI

FlowCorrect: Efficient Interactive Correction of Generative Flow Policies for Robotic Manipulation

Edgar Welte, Yitian Shi, Rosa Wolf, Maximillian Gilles, Rania Rayyes ยท 2026

Generative manipulation policies can fail catastrophically under deployment-time distribution shift, yet many failures are near-misses: the robot reaches almost-correct poses and would succeed with a โ€ฆ

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Engineering Preprint PDF DOI

TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition

Cheng-Yeh Yang, Chien-Chun Wang, Li-Wei Chen, Hung-Shin Lee, Hsin-Min Wang, Berlin Chen ยท 2026

Low-resource automatic speech recognition (ASR) continues to pose significant challenges, primarily due to the limited availability of transcribed data for numerous languages. While a wealth of spokenโ€ฆ

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Engineering Preprint PDF DOI

Are Foundation Models the Route to Full-Stack Transfer in Robotics?

Freek Stulp, Samuel Bustamante, Joao Silverio, Alin Albu-Schaffer, Jeannette Bohg, Shuran Song ยท 2026

In humans and robots alike, transfer learning occurs at different levels of abstraction, from high-level linguistic transfer to low-level transfer of motor skills. In this article, we provide an overvโ€ฆ

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Engineering Preprint PDF DOI

Aggressiveness-Aware Learning-based Control of Quadrotor UAVs with Safety Guarantees

Leonardo Colombo, Thomas Beckers, Juan Giribet ยท 2026

This paper presents an aggressiveness-aware control framework for quadrotor UAVs that integrates learning-based oracles to mitigate the effects of unknown disturbances. Starting from a nominal trackinโ€ฆ

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Engineering Preprint PDF DOI

OnDA: On-device Channel Pruning for Efficient Personalized Keyword Spotting

Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari ยท 2026

Always-on keyword spotting (KWS) demands on-device adaptation to cope with user- and environment-specific distribution shifts under tight latency and energy budgets. This paper proposes, for the firstโ€ฆ

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Engineering Preprint PDF DOI

LightSim: A Lightweight Cell Transmission Model Simulator for Traffic Signal Control Research

Haoran Su, Hanxiao Deng ยท 2026

Reinforcement learning for traffic signal control is bottlenecked by simulators: training in SUMO takes hours, reproducing results often requires days of platform-specific setup, and the slow iteratioโ€ฆ

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Quality of Automatic Speech Recognition -- Polish Language case study -- from Wav2Vec to Scribe ElevenLabs

Marcin Pietron, Szymon Piorkowski, Kamil Faber, Dominik Zurek, Micha{l} Karwatowski, Jerzy Duda, Hubert Zielinski, Piotr Lipnicki, Miko{l}aj Leszczuk ยท 2026

This article concerns comparative studies on the Automatic Speech Recognition (ASR) model incorporated with the Large Language Model (LLM) used for medical interviews. The proposed solution is tested โ€ฆ

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Engineering Preprint PDF DOI

Self-Curriculum Model-based Reinforcement Learning for Shape Control of Deformable Linear Objects

Zhaowei Liang, Song Wang, Zhao Jin, Shirui Wu, Dan Wu ยท 2026

Precise shape control of Deformable Linear Objects (DLOs) is crucial in robotic applications such as industrial and medical fields. However, existing methods face challenges in handling complex large โ€ฆ

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Engineering Preprint PDF DOI

DexRepNet++: Learning Dexterous Robotic Manipulation with Geometric and Spatial Hand-Object Representations

Qingtao Liu, Zhengnan Sun, Yu Cui, Haoming Li, Gaofeng Li, Lin Shao, Jiming Chen, Qi Ye ยท 2026

Robotic dexterous manipulation is a challenging problem due to high degrees of freedom (DoFs) and complex contacts of multi-fingered robotic hands. Many existing deep reinforcement learning (DRL) baseโ€ฆ

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Towards Object Segmentation Mask Selection Using Specular Reflections

Katja Kossira, Yunxuan Zhu, Jurgen Seiler, Andre Kaup ยท 2026

Specular reflections pose a significant challenge for object segmentation, as their sharp intensity transitions often mislead both conventional algorithms and deep learning based methods. However, as โ€ฆ

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Engineering Preprint PDF DOI

Learning-Based Geometric Leader-Follower Control for Cooperative Rigid-Payload Transport with Aerial Manipulators

Omayra Yago Nieto, Leonardo Colombo ยท 2026

This paper presents a learning-based tracking control framework for cooperative transport of a rigid payload by multiple aerial manipulators under rigid grasp constraints. A unified geometric model isโ€ฆ

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Engineering Preprint PDF DOI

Learning to reconstruct from saturated data: audio declipping and high-dynamic range imaging

Victor Sechaud, Laurent Jacques, Patrice Abry, Julian Tachella ยท 2026

Learning based methods are now ubiquitous for solving inverse problems, but their deployment in real-world applications is often hindered by the lack of ground truth references for training. Recent seโ€ฆ

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Engineering Preprint PDF DOI

Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild

Hao Luo, Ye Wang, Wanpeng Zhang, Haoqi Yuan, Yicheng Feng, Haiweng Xu, Sipeng Zheng, Zongqing Lu ยท 2026

Despite progress, Vision-Language-Action models (VLAs) are limited by a scarcity of large-scale, diverse robot data. While human manipulation videos offer a rich alternative, existing methods are forcโ€ฆ

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Engineering Preprint PDF DOI

Deep Accurate Solver for the Geodesic Problem

Saar Huberman, Amit Bracha, Ron Kimmel ยท 2026

A common approach to compute distances on continuous surfaces is by considering a discretized polygonal mesh approximating the surface and estimating distances on the polygon. We show that exact geodeโ€ฆ

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Engineering Preprint PDF DOI

LessMimic: Long-Horizon Humanoid Interaction with Unified Distance Field Representations

Yutang Lin, Jieming Cui, Yixuan Li, Baoxiong Jia, Yixin Zhu, Siyuan Huang ยท 2026

Humanoid robots that autonomously interact with physical environments over extended horizons represent a central goal of embodied intelligence. Existing approaches rely on reference motions or task-spโ€ฆ

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Two-Stage Active Distribution Network Voltage Control via LLM-RL Collaboration: A Hybrid Knowledge-Data-Driven Approach

Xu Yang, Chenhui Lin, Xiang Ma, Dong Liu, Ran Zheng, Haotian Liu, Wenchuan Wu ยท 2026

The growing integration of distributed photovoltaics (PVs) into active distribution networks (ADNs) has exacerbated operational challenges, making it imperative to coordinate diverse equipment to mitiโ€ฆ

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Engineering Preprint PDF DOI

Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries

Joshua Schulz, David Schote, Christoph Kolbitsch, Kostas Papafitsoros, Andreas Kofler ยท 2026

State-of-the-art learned reconstruction methods often rely on black-box modules that, despite their strong performance, raise questions about their interpretability and robustness. Here, we build on aโ€ฆ

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