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๐Ÿ” visual perception ๐Ÿ“‚ Engineering
Showing 14737 results for "visual perception" in Engineering
Engineering Preprint PDF DOI

FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception

Zhen Zhang, Weinan Wang, Hejia Sun, Qingpeng Ding, Xiangyu Chu, Guoxin Fang, K. W. Samuel Au ยท 2026

The current practice of dexterous manipulation generally relies on a single wrist-mounted view, which is often occluded and limits performance on tasks requiring multi-view perception. In this work, wโ€ฆ

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Engineering Preprint PDF DOI

CorridorVLA: Explicit Spatial Constraints for Generative Action Heads via Sparse Anchors

Dachong Li, ZhuangZhuang Chen, Jin Zhang, Jianqiang Li ยท 2026

Vision--Language--Action (VLA) models often use intermediate representations to connect multimodal inputs with continuous control, yet spatial guidance is often injected implicitly through latent featโ€ฆ

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Engineering Preprint PDF DOI

Efficient Design of Fronthaul-Constrained Uplink Reception for Cell-Free XL-MIMO

Dogon Kim, Hyunmin Noh, Seok-Hwan Park ยท 2026

With the evolution of multiple-input multiple-output (MIMO) technology toward extremely large (XL) MIMO systems comprising hundreds of, or more, antennas, this work investigates scalable and fronthaulโ€ฆ

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Engineering Preprint PDF DOI

Self-Predictive Representation for Autonomous UAV Object-Goal Navigation

Angel Ayala, Donling Sui, Francisco Cruz, Mitchell Torok, Mohammad Deghat, Bruno J. T. Fernandes ยท 2026

Autonomous Unmanned Aerial Vehicles (UAVs) have revolutionized industries through their versatility with applications including aerial surveillance, search and rescue, agriculture, and delivery. Theirโ€ฆ

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Engineering Preprint PDF DOI

Neuro-Symbolic Manipulation Understanding with Enriched Semantic Event Chains

Fatemeh Ziaeetabar ยท 2026

Robotic systems operating in human environments must reason about how object interactions evolve over time, which actions are currently being performed, and what manipulation step is likely to follow.โ€ฆ

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Engineering Preprint PDF DOI

Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics

Open-H-Embodiment Consortium: Nigel Nelson, Juo-Tung Chen, Jesse Haworth, Xinhao Chen, Lukas Zbinden, Dianye Huang, Alaa Eldin Abdelaal, Alberto Arezzo, Ayberk Acar, Farshid Alambeigi, Carlo Alberto Ammirati, Yunke Ao, Pablo David Aranda Rodriguez, Soofiyan Atar, Mattia Ballo, Noah Barnes, Federica Barontini, Filip Binkiewicz, Peter Black, Sebastian Bodenstedt, Leonardo Borgioli, Nikola Budjak, Benjamin Calme, Fabio Carrillo, Nicola Cavalcanti, Changwei Chen, Haoxin Chen, Sihang Chen, Qihan Chen, Zhongyu Chen, Ziyang Chen, Shing Shin Cheng, Meiqing Cheng, Min Cheng, Zih-Yun Sarah Chiu, Xiangyu Chu, Camilo Correa-Gallego, Giulio Dagnino, Anton Deguet, Jacob Delgado, Jonathan C. DeLong, Kaizhong Deng, Alexander Dimitrakakis, Qingpeng Ding, Hao Ding, Giovanni Distefano, Daniel Donoho, Anqing Duan, Marco Esposito, Shane Farritor, Jad Fayad, Zahi Fayad, Mario Ferradosa, Filippo Filicori, Chelsea Finn, Philipp Furnstahl, Jiawei Ge, Stamatia Giannarou, Xavier Giralt Ludevid, Frederic Giraud, Aditya Amit Godbole, Ken Goldberg, Antony Goldenberg, Diego Granero Marana, Xiaoqing Guo, Tamas Haidegger, Evan Hailey, Pascal Hansen, Ziyi Hao, Kush Hari, Kengo Hayashi, Jonathon Hawkins, Shelby Haworth, Ortrun Hellig, S. Duke Herrell, Zhouyang Hong, Andrew Howe, Junlei Hu, Zhaoyang Jacopo Hu, Ria Jain, Mohammad Rafiee Javazm, Howard Ji, Rui Ji, Jianmin Ji, Zhongliang Jiang, Dominic Jones, Jeffrey Jopling, Britton Jordan, Ran Ju, Michael Kam, Luoyao Kang, Fausto Kang, Siddhartha Kapuria, Peter Kazanzides, Sonika Kiehler, Ethan Kilmer, Ji Woong Kim, Przemys{l}aw Korzeniowski, Chandra Kuchi, Nithesh Kumar, Alan Kuntz, Federico Lavagno, Yu Chung Lee, Hao-Chih Lee, Hang Li, Zhen Li, Xiao Liang, Xinxin Lin, Jinsong Lin, Chang Liu, Fei Liu, Pei Liu, Yun-hui Liu, Wanli Liuchen, Eszter Lukacs, Sareena Mann, Miles Mannas, Brett Marinelli, Sabina Martyniak, Francesco Marzola, Lorenzo Mazza, Xueyan Mei, Maria Clara Morais, Luigi Muratore, Chetan Reddy Narayanaswamy, Micha{l} Naskret, David Navarro-Alarcon, Cyrus Neary, Chi Kit Ng, Christopher Nguan, David Noonan, Ki Hwan Oh, Tom Christian Olesch, Allison M. Okamura, Justin Opfermann, Matteo Pescio, Doan Xuan Viet Pham, Tito Porras, Hongliang Ren, Ariel Rodriguez Jimenez, Ferdinando Rodriguez y Baena, Septimiu E. Salcudean, Asmitha Sathya, Preethi Satish, Lalithkumar Seenivasan, Jiaqi Shao, Yiqing Shen, Yu Sheng, Lucy XiaoYang Shi, Zoe Soule, Stefanie Speidel, Mingwu Su, Jianhao Su, Idris Sunmola, Kristof Takacs, Yunxi Tang, Patrick Thornycroft, Yu Tian, Jordan Thompson, Mehmet K. Turkcan, Mathias Unberath, Pietro Valdastri, Carlos Vives, Quan Vuong, Martin Wagner, Farong Wang, Wei Wang, Lidian Wang, Chung-Pang Wang, Guankun Wang, Junyi Wang, Erqi Wang, Ziyi Wang, Tanner Watts, Wolfgang Wein, Yimeng Wu, Zijian Wu, Hongjun Wu, Luohong Wu, Jie Ying Wu, Junlin Wu, Victoria Wu, Kaixuan Wu, Mateusz Wojcikowski, Yunye Xiao, Nan Xiao, Wenxuan Xie, Hao Yang, Tianqi Yang, Yinuo Yang, Menglong Ye, Ryan S. Yeung, Nural Yilmaz, Chim Ho Yin, Michael Yip, Rayan Younis, Chenhao Yu, Sayem Nazmuz Zaman, Milos Zefran, Han Zhang, Yuelin Zhang, Yidong Zhang, Yanyong Zhang, Xuyang Zhang, Yameng Zhang, Joyce Zhang, Ning Zhong, Peng Zhou, Haoying Zhou, Xiuli Zuo, Nassir Navab, Mahdi Azizian, Sean D. Huver, Axel Krieger ยท 2026

Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medical robotics has beenโ€ฆ

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Engineering Preprint PDF DOI

Clinical Evaluation of a Tongue-Controlled Wrist Abduction-Adduction Assistance in a 6-DoF Upper-Limb Exoskeleton for Individuals with ALS and SCI

Juwairiya S. Khan, Mostafa Mohammadi, Alexander L. Ammitzb{o}ll, Ellen-Merete Hagen, Jakob Blicher Izabella Obal, Ana S. S. Cardoso, Oguzhan Kirtas, Rasmus L. K{ae}seler, John Rasmussen, Lotte N.S. Andreasen Struijk ยท 2026

Upper-limb exoskeletons (ULEs) have the potential to restore functional independence in individuals with severe motor impairments; however, the clinical relevance of wrist degrees of freedom (DoF), paโ€ฆ

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Engineering Preprint PDF DOI

Visual-Tactile Peg-in-Hole Assembly Learning from Peg-out-of-Hole Disassembly

Yongqiang Zhao, Xuyang Zhang, Zhuo Chen, Matteo Leonetti, Emmanouil Spyrakos-Papastavridis, Shan Luo ยท 2026

Peg-in-hole (PiH) assembly is a fundamental yet challenging robotic manipulation task. While reinforcement learning (RL) has shown promise in tackling such tasks, it requires extensive exploration. Inโ€ฆ

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Engineering Preprint PDF DOI

FingerEye: Continuous and Unified Vision-Tactile Sensing for Dexterous Manipulation

Zhixuan Xu, Yichen Li, Xuanye Wu, Tianyu Qiu, Lin Shao ยท 2026

Dexterous robotic manipulation requires comprehensive perception across all phases of interaction: pre-contact, contact initiation, and post-contact. Such continuous feedback allows a robot to adapt iโ€ฆ

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Engineering Preprint PDF DOI

MOMO: A framework for seamless physical, verbal, and graphical robot skill learning and adaptation

Markus Knauer, Edoardo Fiorini, Maximilian Muhlbauer, Stefan Schneyer, Promwat Angsuratanawech, Florian Samuel Lay, Timo Bachmann, Samuel Bustamante, Korbinian Nottensteiner, Freek Stulp, Alin Albu-Schaffer, Joao Silverio, Thomas Eiband ยท 2026

Industrial robot applications require increasingly flexible systems that non-expert users can easily adapt for varying tasks and environments. However, different adaptations benefit from different intโ€ฆ

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Engineering Preprint PDF DOI

OVPD: A Virtual-Physical Fusion Testing Dataset of OnSite Auton-omous Driving Challenge

Yuhang Zhang, Jiarui Zhang, Bowen Jian, Xin Zhou, Zhichao Lv, Peng Hang, Rongjie Yu, Ye Tian, Jian Sun ยท 2026

The rapid iteration of autonomous driving algorithms has created a growing demand for high-fidelity, replayable, and diagnosable testing data. However, many public datasets lack real vehicle dynamics โ€ฆ

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Engineering Preprint PDF DOI

Benefits of Low-Cost Bio-Inspiration in the Age of Overparametrization

Kevin Godin-Dubois, Anil Yaman, Anna V. Kononova ยท 2026

While Central Pattern Generators (CPGs) and Multi-Layer Perceptrons (MLP) are widely used paradigms in robot control, few systematic studies have been performed on the relative merits of large parametโ€ฆ

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Engineering Preprint PDF DOI

AdaTracker: Learning Adaptive In-Context Policy for Cross-Embodiment Active Visual Tracking

Kui Wu, Hao Chen, Jinzhu Han, Haijun Liu, Churan Wang, Yizhou Wang, Zhoujun Li, Si Liu, Fangwei Zhong ยท 2026

Realizing active visual tracking with a single unified model across diverse robots is challenging, as the physical constraints and motion dynamics vary drastically from one platform to another. Existiโ€ฆ

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Engineering Preprint PDF DOI

ETac: A Lightweight and Efficient Tactile Simulation Framework for Learning Dexterous Manipulation

Zhe Xu, Feiyu Zhao, Xiyan Huang, Chenxi Xiao ยท 2026

Tactile sensors are increasingly integrated into dexterous robotic manipulators to enhance contact perception. However, learning manipulation policies that rely on tactile sensing remains challenging,โ€ฆ

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Lightweight Low-SNR-Robust Semantic Communication System for Autonomous Driving

Ruixing Ren, Minjie Wei, Junhui Zhao ยท 2026

Image transmission for vehicle-to-vehicle collaborative perception in autonomous driving faces challenges including limited on-board terminal resources, time-varying wireless channel fading, and poor โ€ฆ

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Engineering Preprint PDF DOI

Cortex 2.0: Grounding World Models in Real-World Industrial Deployment

Adriana Aida, Walid Amer, Katarina Bankovic, Dhruv Behl, Fabian Busch, Annie Bhalla, Minh Duong, Florian Gienger, Rohan Godse, Denis Grachev, Ralf Gulde, Elisa Hagensieker, Junpeng Hu, Shivam Joshi, Tobias Knobloch, Likith Kumar, Damien LaRocque, Keerthana Lokesh, Omar Moured, Khiem Nguyen, Christian Preyss, Ranjith Sriganesan, Vikram Singh, Carsten Sponner, Anh Tong, Dominik Tuscher, Marc Tuscher, Pavan Upputuri ยท 2026

Industrial robotic manipulation demands reliable long-horizon execution across embodiments, tasks, and changing object distributions. While Vision-Language-Action models have demonstrated strong generโ€ฆ

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Engineering Preprint PDF DOI

LLM-Guided Safety Agent for Edge Robotics with an ISO-Compliant Perception-Compute-Control Architecture

Xu Huang, Ruofan Zhang, Lu Cheng, Yuefeng Song, Xu Huang, Huayu Zhang, Sheng Yin, Anyang Liang, Chen Qian, Yin Zhou, Xiaoyun Yuan, Yuan Cheng ยท 2026

Ensuring functional safety in human-robot interaction is challenging because AI perception is inherently probabilistic, whereas industrial standards require deterministic behavior. We present an LLM-gโ€ฆ

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EDU-Net: Retinal Pathological Fluid Segmentation in OCT Images with Multiscale Feature Fusion and Boundary Optimization

Zijun Lei, Zikang Xu, Liang Zhang, Ge Song, Hanyu Guo, Dan Cao, Yujia Zhou, Qianjin Feng ยท 2026

Objective: Diabetic macular edema (DME) is the leading cause of severe visual impairment in patients with diabetes. Quantification of retinal fluid, particularly intraretinal fluid (IRF) and subretinaโ€ฆ

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FalconApp: Rapid iPhone Deployment of End-to-End Perception via Automatically Labeled Synthetic Data

Yan Miao, Will Shen, Sayan Mitra ยท 2026

Reliable perception for robotics depends on large-scale labeled data, yet real-world datasets rely on heavy manual annotation and are time-consuming to produce. We present FalconApp, an iPhone app witโ€ฆ

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UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Boyu Chen, Yi Chen, Lu Qiu, Jerry Bai, Yuying Ge, Yixiao Ge ยท 2026

Scaling humanoid foundation models is bottlenecked by the scarcity of robotic data. While massive egocentric human data offers a scalable alternative, bridging the cross-embodiment chasm remains a funโ€ฆ

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