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

RoboStriker: Hierarchical Decision-Making for Autonomous Humanoid Boxing

Kangning Yin, Zhe Cao, Wentao Dong, Weishuai Zeng, Tianyi Zhang, Qiang Zhang, Jingbo Wang, Jiangmiao Pang, Ming Zhou, Weinan Zhang ยท 2026

Achieving human-level competitive intelligence and physical agility in humanoid robots remains a major challenge, particularly in contact-rich and highly dynamic tasks such as boxing. While Multi-Agenโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

CARE: Multi-Task Pretraining for Latent Continuous Action Representation in Robot Control

Jiaqi Shi, Xulong Zhang, Xiaoyang Qu, Jianzong Wang ยท 2026

Recent advances in Vision-Language-Action (VLA) models have shown promise for robot control, but their dependence on action supervision limits scalability and generalization. To address this challengeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Accurate Pedestrian Tracking in Urban Canyons: A Multi-Modal Fusion Approach

Shahar Dubiner, Peng Ren, Roberto Manduchi ยท 2026

The contribution describes a pedestrian navigation approach designed to improve localization accuracy in urban environments where GNSS performance is degraded, a problem that is especially critical foโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Plant-Inspired Robot Design Metaphors for Ambient HRI

Victor Nikhil Antony, Adithya R N, Sarah Derrick, Zhili Gong, Peter M. Donley, Chien-Ming Huang ยท 2026

Plants offer a paradoxical model for interaction: they are ambient, low-demand presences that nonetheless shape atmosphere, routines, and relationships through temporal rhythms and subtle expressions.โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Optimizing Domain-Adaptive Self-Supervised Learning for Clinical Voice-Based Disease Classification

Weixin Liu, Bowen Qu, Matthew Pontell, Maria Powell, Bradley Malin, Zhijun Yin ยท 2026

The human voice is a promising non-invasive digital biomarker, yet deep learning for voice-based health analysis is hindered by data scarcity and domain mismatch, where models pre-trained on general aโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

mjlab: A Lightweight Framework for GPU-Accelerated Robot Learning

Kevin Zakka, Qiayuan Liao, Brent Yi, Louis Le Lay, Koushil Sreenath, Pieter Abbeel ยท 2026

We present mjlab, a lightweight, open-source framework for robot learning that combines GPU-accelerated simulation with composable environments and minimal setup friction. mjlab adopts the manager-basโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Learning to Dial-a-Ride: A Deep Graph Reinforcement Learning Approach to the Electric Dial-a-Ride Problem

Sten Elling Tingstad Jacobsen, Attila Lischka, Balazs Kulcsar, Anders Lindman ยท 2026

Urban mobility systems are transitioning toward electric, on-demand services, creating operational challenges for fleet management under energy and service-quality constraints. The Electric Dial-a-Ridโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

PocketDP3: Efficient Pocket-Scale 3D Visuomotor Policy

Jinhao Zhang, Zhexuan Zhou, Huizhe Li, Yichen Lai, Wenlong Xia, Haoming Song, Youmin Gong, Jie Mei ยท 2026

Recently, 3D vision-based diffusion policies have shown strong capability in learning complex robotic manipulation skills. However, a common architectural mismatch exists in these models: a tiny yet eโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications

Runze Cheng, Yao Sun, Ahmad Taha, Xuesong Liu, David Flynn, Muhammad Ali Imran ยท 2026

Semantic communication (SemCom) emerges as a transformative paradigm for traffic-intensive visual data transmission, shifting focus from raw data to meaningful content transmission and relieving the iโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

MoE-ACT: Improving Surgical Imitation Learning Policies through Supervised Mixture-of-Experts

Lorenzo Mazza, Ariel Rodriguez, Rayan Younis, Martin Lelis, Ortrun Hellig, Chenpan Li, Sebastian Bodenstedt, Martin Wagner, Stefanie Speidel ยท 2026

Imitation learning has achieved remarkable success in robotic manipulation, yet its application to surgical robotics remains challenging due to data scarcity, constrained workspaces, and the need for โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Information Filtering via Variational Regularization for Robot Manipulation

Jinhao Zhang, Wenlong Xia, Yaojia Wang, Zhexuan Zhou, Huizhe Li, Yichen Lai, Haoming Song, Youmin Gong, Jie Mei ยท 2026

Diffusion-based visuomotor policies built on 3D visual representations have achieved strong performance in learning complex robotic skills. However, most existing methods employ an oversized denoisingโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Duality-Guided Graph Learning for Real-Time Joint Connectivity and Routing in LEO Mega-Constellations

Zhouyou Gu, Jinho Choi, Tony Q. S. Quek, Jihong Park ยท 2026

Laser inter-satellite links (LISLs) of low Earth orbit (LEO) mega-constellations enable high-capacity backbone connectivity in non-terrestrial networks, but their management is challenged by limited lโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Game-Based and Gamified Robotics Education: A Comparative Systematic Review and Design Guidelines

Syed T. Mubarrat, Byung-Cheol Min, Tianyu Shao, E. Cho Smith, Bedrich Benes, Alejandra J. Magana, Christos Mousas, Dominic Kao ยท 2026

Robotics education fosters computational thinking, creativity, and problem-solving, but remains challenging due to technical complexity. Game-based learning (GBL) and gamification offer engagement benโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

VSE: Variational state estimation of complex model-free process

Gustav Noren, Anubhab Ghosh, Fredrik Cumlin, Saikat Chatterjee ยท 2026

We design a variational state estimation (VSE) method that provides a closed-form Gaussian posterior of an underlying complex dynamical process from (noisy) nonlinear measurements. The complex processโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Advanced techniques and applications of LiDAR Place Recognition in Agricultural Environments: A Comprehensive Survey

Judith Vilella-Cantos, Monica Ballesta, David Valiente, Maria Flores, Luis Paya ยท 2026

An optimal solution to the localization problem is essential for developing autonomous robotic systems. Apart from autonomous vehicles, precision agriculture is one of the elds that can bene t most frโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Disentangling perception and reasoning for improving data efficiency in learning cloth manipulation without demonstrations

Donatien Delehelle, Fei Chen, Darwin Caldwell ยท 2026

Cloth manipulation is a ubiquitous task in everyday life, but it remains an open challenge for robotics. The difficulties in developing cloth manipulation policies are attributed to the high-dimensionโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

BAP-SRL: Bayesian Adaptive Priority Safe Reinforcement Learning for Vehicle Motion Planning at Mixed Traffic Intersections

Yuansheng Lian, Ke Zhang, Yaming Guo, Shen Li, Meng Li ยท 2026

Navigating urban intersections, especially when interacting with heterogeneous traffic participants, presents a formidable challenge for autonomous vehicles (AVs). In such environments, safety risks aโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Representation-Regularized Convolutional Audio Transformer for Audio Understanding

Bing Han, Chushu Zhou, Yifan Yang, Wei Wang, Chenda Li, Wangyou Zhang, Yanmin Qian ยท 2026

Bootstrap-based Self-Supervised Learning (SSL) has achieved remarkable progress in audio understanding. However, existing methods typically operate at a single level of granularity, limiting their abiโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Near-Field Positioning for XL-MIMO Uniform Circular Arrays: An Attention-Enhanced Deep Learning Approach

Yuan Gao, Xinyu Guo, Han Li, Jianbo Du, Shugong Xu ยท 2026

In the evolving landscape of sixth-generation (6G) mobile communication, multiple-input multiple-output (MIMO) systems are incorporating an unprecedented number of antenna elements, advancing towards โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Training slow silicon neurons to control extremely fast robots with spiking reinforcement learning

Irene Ambrosini, Ingo Blakowski, Dmitrii Zendrikov, Cristiano Capone, Luna Gava, Giacomo Indiveri, Chiara De Luca, Chiara Bartolozzi ยท 2026

Air hockey demands split-second decisions at high puck velocities, a challenge we address with a compact network of spiking neurons running on a mixed-signal analog/digital neuromorphic processor. By โ€ฆ

Read Paper โ†’
โ† Prev Page 105 of 1969 Next โ†’