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

Safety-Guaranteed Imitation Learning from Nonlinear Model Predictive Control for Spacecraft Close Proximity Operations

Alexander Meinert, Niklas Baldauf, Peter Stadler, Alen Turnwald ยท 2026

This paper presents a safety-guaranteed, runtime-efficient imitation learning framework for spacecraft close proximity control. We leverage Control Barrier Functions (CBFs) for safety certificates andโ€ฆ

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Engineering Preprint PDF DOI

Learn for Variation: Variationally Guided AAV Trajectory Learning in Differentiable Environments

Xiucheng Wang, Zhenye Chen, Nan Cheng ยท 2026

Autonomous aerial vehicles (AAVs) empower sixth-generation (6G) Internet-of-Things (IoT) networks through mobility-driven data collection. However, conventional reward-driven reinforcement learning foโ€ฆ

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Engineering Preprint PDF DOI

V-Dreamer: Automating Robotic Simulation and Trajectory Synthesis via Video Generation Priors

Songjia He, Zixuan Chen, Hongyu Ding, Dian Shao, Jieqi Shi, Chenxu Li, Jing Huo, Yang Gao ยท 2026

Training generalist robots demands large-scale, diverse manipulation data, yet real-world collection is prohibitively expensive, and existing simulators are often constrained by fixed asset libraries โ€ฆ

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Engineering Preprint PDF DOI

"You've got a friend in me": Co-Designing a Peer Social Robot for Young Newcomers' Language and Cultural Learning

Neil Fernandes, Cheng Tang, Tehniyat Shahbaz, Alex Hauschildt, Emily Davies-Robinson, Yue Hu, Kerstin Dautenhahn ยท 2026

Community literacy programs supporting young newcomer children in Canada face limited staffing and scarce one-to-one time, which constrains personalized English and cultural learning support. This papโ€ฆ

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Engineering Preprint PDF DOI

ViTac-Tracing: Visual-Tactile Imitation Learning of Deformable Object Tracing

Yongqiang Zhao, Haining Luo, Yupeng Wang, Emmanouil Spyrakos Papastavridis, Yiannis Demiris, Shan Luo ยท 2026

Deformable objects often appear in unstructured configurations. Tracing deformable objects helps bringing them into extended states and facilitating the downstream manipulation tasks. Due to the requiโ€ฆ

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Engineering Preprint PDF DOI

ROFT-VINS: Robust Feature Tracking-based Visual-Inertial State Estimation for Harsh Environment

Sanghyun Park, Soohee Han ยท 2026

SLAM (Simultaneous Localization and Mapping) and Odometry are important systems for estimating the position of mobile devices, such as robots and cars, utilizing one or more sensors. Particularly in cโ€ฆ

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Engineering Preprint PDF DOI

CSSDF-Net: Safe Motion Planning Based on Neural Implicit Representations of Configuration Space Distance Field

Haohua Chen, Yixuan Zhou, Yifan Zhou, Hesheng Wang ยท 2026

High-dimensional manipulator operation in unstructured environments requires a differentiable, scene-agnostic distance query mechanism to guide safe motion generation. Existing geometric collision cheโ€ฆ

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Engineering Preprint PDF DOI

Benchmarking Visual Feature Representations for LiDAR-Inertial-Visual Odometry Under Challenging Conditions

Eunseon Choi, Junwoo Hong, Daehan Lee, Sanghyun Park, Hyunyoung Jo, Sunyoung Kim, Changho Kang, Seongsam Kim, Yonghan Jung, Jungwook Park, Seul Koo, Soohee Han ยท 2026

Accurate localization in autonomous driving is critical for successful missions including environmental mapping and survivor searches. In visually challenging environments, including low-light conditiโ€ฆ

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Engineering Preprint PDF DOI

Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds

Andrew Choi, Xinjie Wang, Zhizhong Su, Wei Xu ยท 2026

The strong performance of large vision-language models (VLMs) trained with reinforcement learning (RL) has motivated similar approaches for fine-tuning vision-language-action (VLA) models in robotics.โ€ฆ

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Engineering Preprint PDF DOI

Efficient and Versatile Quadrupedal Skating: Optimal Co-design via Reinforcement Learning and Bayesian Optimization

Hanwen Wang, Zhenlong Fang, Josiah Hanna, Xiaobin Xiong ยท 2026

In this paper, we present a hardware-control co-design approach that enables efficient and versatile roller skating on quadrupedal robots equipped with passive wheels. Passive-wheel skating reduces leโ€ฆ

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Engineering Preprint PDF DOI

SutureAgent: Learning Surgical Trajectories via Goal-conditioned Offline RL in Pixel Space

Huanrong Liu, Chunlin Tian, Tongyu Jia, Tailai Zhou, Qin Liu, Yu Gao, Yutong Ban, Yun Gu, Guy Rosman, Xin Ma, Qingbiao Li ยท 2026

Predicting surgical needle trajectories from endoscopic video is critical for robot-assisted suturing, enabling anticipatory planning, real-time guidance, and safer motion execution. Existing methods โ€ฆ

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Engineering Preprint PDF DOI

HRI-SA: A Multimodal Dataset for Online Assessment of Human Situational Awareness during Remote Human-Robot Teaming

Hashini Senaratne, Richard Attfield, Samith Widhanapathirana, David Howard, Cecile Paris, Dana Kulic, Leimin Tian ยท 2026

Maintaining situational awareness (SA) is critical in human-robot teams. Yet, under high workload and dynamic conditions, operators often experience SA gaps. Automated detection of SA gaps could proviโ€ฆ

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Engineering Preprint PDF DOI

DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving

Zilin Huang, Zihao Sheng, Zhengyang Wan, Yansong Qu, Junwei You, Sicong Jiang, Sikai Chen ยท 2026

Ensuring safe decision-making in autonomous vehicles remains a fundamental challenge despite rapid advances in end-to-end learning approaches. Traditional reinforcement learning (RL) methods rely on mโ€ฆ

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Energy-Aware Frame Rate Selection for Video Coding

Geetha Ramasubbu, Andre Kaup, Christian Herglotz ยท 2026

The main contributions of this paper are twofold: First, we present an in-depth analysis of the impact of frame rate reductions on the visual quality of the video and the encoding as well as decoding โ€ฆ

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Rapid Adaptation of Particle Dynamics for Generalized Deformable Object Mobile Manipulation

Bohan Wu, Roberto Martin-Martin, Li Fei-Fei ยท 2026

We address the challenge of learning to manipulate deformable objects with unknown dynamics. In non-rigid objects, the dynamics parameters define how they react to interactions -- how they stretch, beโ€ฆ

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Convergence of Payoff-Based Higher-Order Replicator Dynamics in Contractive Games

Hassan Abdelraouf, Vijay Gupta, Jeff S. Shamma ยท 2026

We study the convergence properties of a payoff-based higher-order version of replicator dynamics, a widely studied model in evolutionary dynamics and game-theoretic learning, in contractive games. Reโ€ฆ

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Engineering Preprint PDF DOI

Training Diffusion Language Models for Black-Box Optimization

Zipeng Sun, Can Chen, Ye Yuan, Haolun Wu, Jiayao Gu, Christopher Pal, Xue Liu ยท 2026

We study offline black-box optimization (BBO), aiming to discover improved designs from an offline dataset of designs and labels, a problem common in robotics, DNA, and materials science with limited โ€ฆ

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Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis

Fangyijie Wang, Guenole Silvestre, Kathleen M. Curran ยท 2026

Congenital heart disease (CHD) screening from fetal echocardiography requires accurate analysis of multiple standard cardiac views, yet developing reliable artificial intelligence models remains challโ€ฆ

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Engineering Preprint PDF DOI

DexViTac: Collecting Human Visuo-Tactile-Kinematic Demonstrations for Contact-Rich Dexterous Manipulation

Xitong Chen, Yifeng Pan, Min Li, Xiaotian Ding ยท 2026

Large-scale, high-quality multimodal demonstrations are essential for robot learning of contact-rich dexterous manipulation. While human-centric data collection systems lower the barrier to scaling, tโ€ฆ

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Verification and Validation of Physics-Informed Surrogate Component Models for Dynamic Power-System Simulation

Petros Ellinas, Indrajit Chaudhuri, Johanna Vorwerk, Spyros Chatzivasileiadis ยท 2026

Physics-informed machine learning surrogates are increasingly explored to accelerate dynamic simulation of generators, converters, and other power grid components. The key question, however, is not onโ€ฆ

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