Expertini Research Research

Browse Research Papers

39,379+ open-access research outputs.

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

Agile Flight Emerges from Multi-Agent Competitive Racing

Vineet Pasumarti, Lorenzo Bianchi, Antonio Loquercio ยท 2025

Through multi-agent competition and the sparse high-level objective of winning a race, we find that both agile flight (e.g., high-speed motion pushing the platform to its physical limits) and strategyโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

LUCID: Learning-Enabled Uncertainty-Aware Certification of Stochastic Dynamical Systems

Ernesto Casablanca, Oliver Schon, Paolo Zuliani, Sadegh Soudjani ยท 2025

Ensuring the safety of AI-enabled systems, particularly in high-stakes domains such as autonomous driving and healthcare, has become increasingly critical. Traditional formal verification tools fall sโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

mViSE: A Visual Search Engine for Analyzing Multiplex IHC Brain Tissue Images

Liqiang Huang, Rachel W. Mills, Saikiran Mandula, Lin Bai, Mahtab Jeyhani, John Redell, Hien Van Nguyen, Saurabh Prasad, Dragan Maric, Badrinath Roysam ยท 2025

Whole-slide multiplex imaging of brain tissue generates massive information-dense images that are challenging to analyze and require custom software. We present an alternative query-driven programmingโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots

Ninghan Zhong, Steven Caro, Megnath Ramesh, Rishi Bhatnagar, Avraiem Iskandar, Stephen L. Smith ยท 2025

Mobile robots are increasingly deployed in cluttered environments with movable objects, posing challenges for traditional methods that prohibit interaction. In such settings, the mobile robot must go โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

UniBYD: A Unified Framework for Learning Robotic Manipulation Across Embodiments Beyond Imitation of Human Demonstrations

Tingyu Yuan, Biaoliang Guan, Wen Ye, Ziyan Tian, Yi Yang, Weijie Zhou, Zhaowen Li, Yan Huang, Peng Wang, Chaoyang Zhao, Jinqiao Wang ยท 2025

In embodied intelligence, the embodiment gap between robotic and human hands brings significant challenges for learning from human demonstrations. Although some studies have attempted to bridge this gโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach

Jia Hu, Yang Chang, Haoran Wang ยท 2025

Motion planning for high-level autonomous driving is constrained by a fundamental trade-off between the transparent, yet brittle, nature of pipeline methods and the adaptive, yet opaque, "black-box" cโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

ACCOR: Attention-Enhanced Complex-Valued Contrastive Learning for Occluded Object Classification Using mmWave Radar IQ Signals

Stefan Hagele, Adam Misik, Constantin Patsch, Eckehard Steinbach ยท 2025

Millimeter-wave (mmWave) radar provides robust sensing under adverse conditions and can penetrate thin materials for non-visual perception in industrial and robotic settings. Recent work with MIMO mmWโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios

Jorg Gamerdinger, Sven Teufel, Simon Roller, Oliver Bringmann ยท 2025

The growing number of road users has significantly increased the risk of accidents in recent years. Vulnerable Road Users (VRUs) are particularly at risk, especially in urban environments where they aโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

RadarFuseNet: Complex-Valued Cross-Attention Fusion of Time-Frequency IQ Radar Features for Robust Classification

Stefan Hagele, Adam Misik, Eckehard Steinbach ยท 2025

Millimeter-wave (mmWave) radar has emerged as a compact and powerful sensing modality for advanced perception tasks that leverage machine learning. It is particularly effective in scenarios where visiโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Task-Specific Sparse Feature Masks for Molecular Toxicity Prediction with Chemical Language Models

Kwun Sy Lee, Jiawei Chen, Fuk Sheng Ford Chung, Tianyu Zhao, Zhenyuan Chen, Debby D. Wang ยท 2025

Reliable in silico molecular toxicity prediction is a cornerstone of modern drug discovery, offering a scalable alternative to experimental screening. However, the black-box nature of state-of-the-artโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges

Chao Xu, Suyu Zhang, Yang Liu, Baigui Sun, Weihong Chen, Bo Xu, Qi Liu, Juncheng Wang, Shujun Wang, Shan Luo, Jan Peters, Athanasios V. Vasilakos, Stefanos Zafeiriou, Jiankang Deng ยท 2025

Vision-Language-Action (VLA) models are driving a revolution in robotics, enabling machines to understand instructions and interact with the physical world. This field is exploding with new models andโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Integrated Prediction and Multi-period Portfolio Optimization

Yuxuan Linghu, Zhiyuan Liu, Qi Deng ยท 2025

Multi-period portfolio optimization is important for real portfolio management, as it accounts for transaction costs, path-dependent risks, and the intertemporal structure of trading decisions that siโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Seeing to Act, Prompting to Specify: A Bayesian Factorization of Vision Language Action Policy

Kechun Xu, Zhenjie Zhu, Anzhe Chen, Shuqi Zhao, Qing Huang, Yifei Yang, Haojian Lu, Rong Xiong, Masayoshi Tomizuka, Yue Wang ยท 2025

The pursuit of out-of-distribution generalization in Vision-Language-Action (VLA) models is often hindered by catastrophic forgetting of the Vision-Language Model (VLM) backbone during fine-tuning. Whโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance

Tzu-Hsien Lee, Fidan Mahmudova, Karthik Desingh ยท 2025

Achieving precise positioning of the mobile manipulator's base is essential for successful manipulation actions that follow. Most of the RGB-based navigation systems only guarantee coarse, meter-levelโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control

Haoran Jiang, Jin Chen, Qingwen Bu, Li Chen, Modi Shi, Yanjie Zhang, Delong Li, Chuanzhe Suo, Chuang Wang, Zhihui Peng, Hongyang Li ยท 2025

Humanoid robots require precise locomotion and dexterous manipulation to perform challenging loco-manipulation tasks. Yet existing approaches, modular or end-to-end, are deficient in manipulation-awarโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast Learning

Wendi Chen, Han Xue, Yi Wang, Fangyuan Zhou, Jun Lv, Yang Jin, Shirun Tang, Chuan Wen, Cewu Lu ยท 2025

Human-level contact-rich manipulation relies on the distinct roles of two key modalities: vision provides spatially rich but temporally slow global context, while force sensing captures rapid, high-frโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Curriculum-Based Reinforcement Learning for Autonomous UAV Navigation in Unknown Curved Tubular Conduit

Zamirddine Mari, Jerome Pasquet, Julien Seinturier ยท 2025

Autonomous drone navigation in confined tubular environments remains a major challenge due to the constraining geometry of the conduits, the proximity of the walls, and the perceptual limitations inheโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Iterative Compositional Data Generation for Robot Control

Anh-Quan Pham, Marcel Hussing, Shubhankar P. Patankar, Dani S. Bassett, Jorge Mendez-Mendez, Eric Eaton ยท 2025

Collecting robotic manipulation data is expensive, making it impractical to acquire demonstrations for the combinatorially large space of tasks that arise in multi-object, multi-robot, and multi-envirโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Variable Step Sizes Frequency Offsets-Compensated Least Mean Squares Algorithm

Karel Parlin, Aaron Byman, Tommi Merilainen, Taneli Riihonen ยท 2025

Frequency offsets-compensated least mean squares (FO-LMS) algorithm is a generic method for estimating a wireless channel under carrier and sampling frequency offsets when the transmitted signal is beโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Towards Accessible Physical AI: LoRA-Based Fine-Tuning of VLA Models for Real-World Robot Control

Abdullah Yahya Abdullah Omaisan, Ibrahim Sheikh Mohamed ยท 2025

Vision-Language-Action (VLA) models have demonstrated remarkable capabilities in robotic manipulation,enabling robots to execute natural language commands through end-to-end learning from visual obserโ€ฆ

Read Paper โ†’
โ† Prev Page 142 of 1969 Next โ†’