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

ViTaS: Visual Tactile Soft Fusion Contrastive Learning for Visuomotor Learning

Yufeng Tian, Shuiqi Cheng, Tianming Wei, Tianxing Zhou, Yuanhang Zhang, Zixian Liu, Qianwei Han, Zhecheng Yuan, Huazhe Xu ยท 2026

Tactile information plays a crucial role in human manipulation tasks and has recently garnered increasing attention in robotic manipulation. However, existing approaches mostly focus on the alignment โ€ฆ

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Engineering Preprint PDF DOI

ABot-N0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation

Zedong Chu, Shichao Xie, Xiaolong Wu, Yanfen Shen, Minghua Luo, Zhengbo Wang, Fei Liu, Xiaoxu Leng, Junjun Hu, Mingyang Yin, Jia Lu, Yingnan Guo, Kai Yang, Jiawei Han, Xu Chen, Yanqing Zhu, Yuxiang Zhao, Xin Liu, Yirong Yang, Ye He, Jiahang Wang, Yang Cai, Tianlin Zhang, Li Gao, Liu Liu, Mingchao Sun, Fan Jiang, Chiyu Wang, Zhicheng Liu, Hongyu Pan, Honglin Han, Zhining Gu, Kuan Yang, Jianfang Zhang, Di Jing, Zihao Guan, Wei Guo, Guoqing Liu, Di Yang, Xiangpo Yang, Menglin Yang, Hongguang Xing, Weiguo Li, Mu Xu ยท 2026

Embodied navigation has long been fragmented by task-specific architectures. We introduce ABot-N0, a unified Vision-Language-Action (VLA) foundation model that achieves a ``Grand Unification'' across โ€ฆ

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Engineering Preprint PDF DOI

Quantum-Enhanced Temporal Embeddings via a Hybrid Seq2Seq Architecture

Tien-Ching Hsieh, Yun-Cheng Tsai, Samuel Yen-Chi Chen ยท 2026

This work investigates how shallow, NISQ-compatible quantum layers can improve temporal representation learning in real-world sequential data. We develop a QLSTM Seq2Seq autoencoder in which a depth-1โ€ฆ

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Engineering Preprint PDF DOI

SLD-L2S: Hierarchical Subspace Latent Diffusion for High-Fidelity Lip to Speech Synthesis

Yifan Liang, Andong Li, Kang Yang, Guochen Yu, Fangkun Liu, Lingling Dai, Xiaodong Li, Chengshi Zheng ยท 2026

Although lip-to-speech synthesis (L2S) has achieved significant progress in recent years, current state-of-the-art methods typically rely on intermediate representations such as mel-spectrograms or diโ€ฆ

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Engineering Preprint PDF DOI

Effective Task Planning with Missing Objects using Learning-Informed Object Search

Raihan Islam Arnob, Max Merlin, Abhishek Paudel, Benned Hedegaard, George Konidaris, Gregory J. Stein ยท 2026

Task planning for mobile robots often assumes full environment knowledge and so popular approaches, like planning via the PDDL, cannot plan when the locations of task-critical objects are unknown. Recโ€ฆ

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Engineering Preprint PDF DOI

EasyMimic: A Low-Cost Framework for Robot Imitation Learning from Human Videos

Tao Zhang, Song Xia, Ye Wang, Qin Jin ยท 2026

Robot imitation learning is often hindered by the high cost of collecting large-scale, real-world data. This challenge is especially significant for low-cost robots designed for home use, as they mustโ€ฆ

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Engineering Preprint PDF DOI

A physics-informed data-driven framework for modeling hyperelastic materials with progressive damage and failure

Kshitiz Upadhyay ยท 2026

This work presents a two-stage physics-informed, data-driven constitutive modeling framework for hyperelastic soft materials undergoing progressive damage and failure. The framework is grounded in theโ€ฆ

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Engineering Preprint PDF DOI

Human Preference Modeling Using Visual Motion Prediction Improves Robot Skill Learning from Egocentric Human Video

Mrinal Verghese, Christopher G. Atkeson ยท 2026

We present an approach to robot learning from egocentric human videos by modeling human preferences in a reward function and optimizing robot behavior to maximize this reward. Prior work on reward leaโ€ฆ

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Engineering Preprint PDF DOI

MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation

Yejin Kim, Wilbert Pumacay, Omar Rayyan, Max Argus, Winson Han, Eli VanderBilt, Jordi Salvador, Abhay Deshpande, Rose Hendrix, Snehal Jauhri, Shuo Liu, Nur Muhammad Mahi Shafiullah, Maya Guru, Ainaz Eftekhar, Karen Farley, Donovan Clay, Jiafei Duan, Arjun Guru, Piper Wolters, Alvaro Herrasti, Ying-Chun Lee, Georgia Chalvatzaki, Yuchen Cui, Ali Farhadi, Dieter Fox, Ranjay Krishna ยท 2026

Deploying robots at scale demands robustness to the long tail of everyday situations. The countless variations in scene layout, object geometry, and task specifications that characterize real environmโ€ฆ

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Engineering Preprint PDF DOI

YOR: Your Own Mobile Manipulator for Generalizable Robotics

Manan H Anjaria, Mehmet Enes Erciyes, Vedant Ghatnekar, Neha Navarkar, Haritheja Etukuru, Xiaole Jiang, Kanad Patel, Dhawal Kabra, Nicholas Wojno, Radhika Ajay Prayage, Soumith Chintala, Lerrel Pinto, Nur Muhammad Mahi Shafiullah, Zichen Jeff Cui ยท 2026

Recent advances in robot learning have generated significant interest in capable platforms that may eventually approach human-level competence. This interest, combined with the commoditization of actuโ€ฆ

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Engineering Preprint PDF DOI

APEX: Learning Adaptive High-Platform Traversal for Humanoid Robots

Yikai Wang, Tingxuan Leng, Changyi Lin, Shiqi Liu, Shir Simon, Bingqing Chen, Jonathan Francis, Ding Zhao ยท 2026

Humanoid locomotion has advanced rapidly with deep reinforcement learning (DRL), enabling robust feet-based traversal over uneven terrain. Yet platforms beyond leg length remain largely out of reach bโ€ฆ

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Engineering Preprint PDF DOI

Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows

Shaswat Garg, Matin Moezzi, Brandon Da Silva ยท 2026

Hierarchical goal-conditioned reinforcement learning (H-GCRL) provides a powerful framework for tackling complex, long-horizon tasks by decomposing them into structured subgoals. However, its practicaโ€ฆ

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Engineering Preprint PDF DOI

Multi-UAV Trajectory Optimization for Bearing-Only Localization in GPS Denied Environments

Alfonso Sciacchitano, Liraz Mudrik, Sean Kragelund, Isaac Kaminer ยท 2026

Accurate localization of maritime targets by unmanned aerial vehicles (UAVs) remains challenging in GPS-denied environments. UAVs equipped with gimballed electro-optical sensors are typically used to โ€ฆ

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Engineering Preprint PDF DOI

Interpretable Attention-Based Multi-Agent PPO for Latency Spike Resolution in 6G RAN Slicing

Kavan Fatehi, Mostafa Rahmani Ghourtani, Amir Sonee, Poonam Yadav, Alessandra M Russo, Hamed Ahmadi, Radu Calinescu ยท 2026

Sixth-generation (6G) radio access networks (RANs) must enforce strict service-level agreements (SLAs) for heterogeneous slices, yet sudden latency spikes remain difficult to diagnose and resolve withโ€ฆ

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Engineering Preprint PDF DOI

RISE: Self-Improving Robot Policy with Compositional World Model

Jiazhi Yang, Kunyang Lin, Jinwei Li, Wencong Zhang, Tianwei Lin, Longyan Wu, Zhizhong Su, Hao Zhao, Ya-Qin Zhang, Li Chen, Ping Luo, Xiangyu Yue, Hongyang Li ยท 2026

Despite the sustained scaling on model capacity and data acquisition, Vision-Language-Action (VLA) models remain brittle in contact-rich and dynamic manipulation tasks, where minor execution deviationโ€ฆ

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Engineering Preprint PDF DOI

SQ-CBF: Signed Distance Functions for Numerically Stable Superquadric-Based Safety Filtering

Haocheng Zhao, Lukas Brunke, Oliver Lagerquist, Siqi Zhou, Angela P. Schoellig ยท 2026

Ensuring safe robot operation in cluttered and dynamic environments remains a fundamental challenge. While control barrier functions provide an effective framework for real-time safety filtering, theiโ€ฆ

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Engineering Preprint PDF DOI

ContactGaussian-WM: Learning Physics-Grounded World Model from Videos

Meizhong Wang, Wanxin Jin, Kun Cao, Lihua Xie, Yiguang Hong ยท 2026

Developing world models that understand complex physical interactions is essential for advancing robotic planning and simulation.However, existing methods often struggle to accurately model the enviroโ€ฆ

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Multi-Task Reinforcement Learning of Drone Aerobatics by Exploiting Geometric Symmetries

Zhanyu Guo, Zikang Yin, Guobin Zhu, Shiliang Guo, Shiyu Zhao ยท 2026

Flight control for autonomous micro aerial vehicles (MAVs) is evolving from steady flight near equilibrium points toward more aggressive aerobatic maneuvers, such as flips, rolls, and Power Loop. Althโ€ฆ

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Engineering Preprint PDF DOI

Developing Neural Network-Based Gaze Control Systems for Social Robots

Ramtin Tabatabaei, Alireza Taheri ยท 2026

During multi-party interactions, gaze direction is a key indicator of interest and intent, making it essential for social robots to direct their attention appropriately. Understanding the social conteโ€ฆ

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Engineering Preprint PDF DOI

Safe mobility support system using crowd mapping and avoidance route planning using VLM

Sena Saito, Kenta Tabata, Renato Miyagusuku, Koichi Ozaki ยท 2026

Autonomous mobile robots offer promising solutions for labor shortages and increased operational efficiency. However, navigating safely and effectively in dynamic environments, particularly crowded arโ€ฆ

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