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Engineering Preprint PDF DOI

OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction

Junyoung Lee, Sookwan Han, Jeonghwan Kim, Inhee Lee, Mingi Choi, Jisoo Kim, Wonjung Woo, Hanbyul Joo · 2026

Human-robot collaboration has been studied primarily in dyadic or sequential settings. However, real homes require multiadic collaboration, where multiple humans and robots share a workspace, acting c…

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Engineering Preprint PDF DOI

RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects

Tim Missal, Lucas Domingues, Berk Guler, Simon Manschitz, Jan Peters, Paula Dornhofer Paro Costa · 2026

The robotic manipulation of Deformable Linear Objects (DLOs) is a fundamental challenge due to the high-dimensional, non-linear dynamics of flexible structures and the complexity of maintaining topolo…

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Engineering Preprint PDF DOI

CRS-LLM: Cooperative Beam Prediction with a GPT-Style Backbone and Switch-Gated Fusion

Fangzhi Li, Cunhua Pan, Hong Ren, Dongming Wang, Jiangzhou Wang · 2026

Millimeter-wave (mmWave) communication depends on highly directional beamforming, while fast mobility, blockage, and rapid geometry changes in vehicle-to-everything (V2X) scenarios make beam tracking …

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Engineering Preprint PDF DOI

Flying by Inference: Active Inference World Models for Adaptive UAV Swarms

Kaleem Arshid, Ali Krayani, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni · 2026

This paper presents an expert-guided active-inference-inspired framework for adaptive UAV swarm trajectory planning. The proposed method converts multi-UAV trajectory design from a repeated combinator…

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Engineering Preprint PDF DOI

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC

Seungho Han, Seokju Lee, Jeonguk Kang · 2026

Dense, dynamic crowds pose a persistent challenge for autonomous mobile robots. Purely reactive planning methods, such as Model Predictive Path Integral (MPPI) control, often fail to escape local mini…

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Engineering Preprint PDF DOI

Learning to Spend: Model Predictive Control for Budgeting under Non-Stationary Returns

Nilavra Pathak, Smriti Shyamal, Prasant Mhasker, Christopher Swartz · 2026

We study finite-horizon budget allocation as a closed-loop economic control problem and evaluate receding-horizon Model Predictive Control (MPC) relative to reactive budgeting policies. Budgets are al…

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Engineering Preprint PDF DOI

A Two Stage Pipeline for Left Atrial Wall Constrained Scar Segmentation and Localization from LGE-MR Images

Bipasha Kundu, Cristian Linte · 2026

Accurate segmentation and localization of left atrial (LA) ablation scars from Late gadolinium enhancement (LGE)-MRI is essential for assessing the lesion completeness and guiding ablation therapy. In…

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Engineering Preprint PDF DOI

Optimizing Dynamic Metasurface Antenna Configurations for Direction-of-Arrival and Polarization Estimation Using an Experimentally Calibrated Multiport-Network Model

Jean Tapie, Philipp del Hougne · 2026

Sensing the direction of arrival and polarization of impinging signals is a key prerequisite for beamforming and interference mitigation in modern wireless communication systems. Dynamic metasurface a…

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Engineering Preprint PDF DOI

Bi-Level Optimization for Contact and Motion Planning in Rope-Assisted Legged Robots

Ruben Malacarne, Ioannis Tsikelis, Enrico Mingo Hoffman, Michele Focchi · 2026

This paper presents a planning pipeline framework for locomotion in rope-assisted robots climbing vertical surfaces. The proposed framework is formulated as a bi-level optimization scheme that address…

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Engineering Preprint PDF DOI

Safe Navigation using Neural Radiance Fields via Reachable Sets

Omanshu Thapliyal, Malarvizhi Sankaranarayanasamy, Ravigopal Vennelakanti · 2026

Safe navigation in cluttered environments is an important challenge for autonomous systems. Robots navigating through obstacle ridden scenarios need to be able to navigate safely in the presence of ob…

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Engineering Preprint PDF DOI

Walk With Me: Long-Horizon Social Navigation for Human-Centric Outdoor Assistance

Lingfeng Zhang, Xiaoshuai Hao, Xizhou Bu, Yingbo Tang, Hongsheng Li, Jinghui Lu, Xiu-shen Wei, Jiayi Ma, Yu Liu, Jing Zhang, Hangjun Ye, Xiaojun Liang, Long Chen, Wenbo Ding · 2026

Assisting humans in open-world outdoor environments requires robots to translate high-level natural-language intentions into safe, long-horizon, and socially compliant navigation behavior. Existing ma…

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Engineering Preprint PDF DOI

STAR-Filter: Efficient Convex Free-Space Approximation via Starshaped Set Filtering in Noisy Environments

Yuwei Wu, Yichen Zhao, Dexter Ong, Vijay Kumar · 2026

Approximating collision-free space is fundamental to robot planning in complex environments. Convex geometric representations, such as polytopes and ellipsoids, are widely employed due to their struct…

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Engineering Preprint PDF DOI

SEP Analysis of Quantized SIMO Systems with M-PSK over Correlated Fading Channels

Amila Ravinath, Bikshapathi Gouda, Italo Atzeni, Antti Tolli · 2026

The average symbol error probability (SEP) of a phase-quantized single-input multiple-output system with M-ary phase-shift keying modulation and maximum ratio combining (MRC) is analyzed under correla…

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Engineering Preprint PDF DOI

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models

Seongmin Kim, Daegyu Lee · 2026

Deploying a neuro-symbolic task planner on a new domain today requires significant manual effort: a domain expert must author relaxation and complementary rules, and hundreds of training problems must…

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Engineering Preprint PDF DOI

HiPAN: Hierarchical Posture-Adaptive Navigation for Quadruped Robots in Unstructured 3D Environments

Jeil Jeong, Minsung Yoon, Seokryun Choi, Heechan Shin, Taegeun Yang, Sung-eui Yoon · 2026

Navigating quadruped robots in unstructured 3D environments poses significant challenges, requiring goal-directed motion, effective exploration to escape from local minima, and posture adaptation to t…

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Engineering Preprint PDF DOI

2D and 3D Grasp Planners for the GET Asymmetrical Gripper

Andrew Goldberg, Ethan Ransing, Anton Kourakin, Cael Magner, Edward H. Adelson, Ken Goldberg · 2026

In this paper, we introduce GET-2D-1.0, a fast grasp planner for the GET asymmetrical gripper that operates from a single-view RGB-D image, using the Ferrari-Canny metric and a novel sampling strategy…

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Engineering Preprint PDF DOI

Robot Planning and Situation Handling with Active Perception

Austine Oloo, Zainab Altaweel, Yohei Hayamizu, Peiqi Liu, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Chris Paxton, Xiaohan Zhang, Shiqi Zhang · 2026

Current robots are capable of computing plans to accomplish complex tasks. However, real-world environments are inherently open and dynamic, and unforeseen situations frequently arise during plan exec…

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Engineering Preprint PDF DOI

Variational Neural Belief Parameterizations for Robust Dexterous Grasping under Multimodal Uncertainty

Clinton Enwerem, Shreya Kalyanaraman, John S. Baras, Calin Belta · 2026

Contact variability, sensing uncertainty, and external disturbances make grasp execution stochastic. Expected-quality objectives ignore tail outcomes and often select grasps that fail under adverse co…

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Engineering Preprint PDF DOI

KinDER: A Physical Reasoning Benchmark for Robot Learning and Planning

Yixuan Huang, Bowen Li, Vaibhav Saxena, Yichao Liang, Utkarsh Aashu Mishra, Liang Ji, Lihan Zha, Jimmy Wu, Nishanth Kumar, Sebastian Scherer, Danfei Xu, Tom Silver · 2026

Robotic systems that interact with the physical world must reason about kinematic and dynamic constraints imposed by their own embodiment, their environment, and the task at hand. We introduce KinDER,…

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Engineering Preprint PDF DOI

Data Driven Calibration of Analytical Concrete Creep Models Considering Preloading Effects Using Gaussian Processes

Leonie Heller, Christopher Taube, Gledson Rodrigo Tondo, Guido Morgenthal · 2026

The time-dependent deformation of concrete, particularly creep, remains a key challenge for reliable and material-efficient design. Experimental results show that tailored preloading, short-term loads…

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