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🔍 philipp reusch 📂 Engineering
Showing 344 results for "philipp reusch" in Engineering
Engineering Preprint PDF DOI

Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training

Mahya Ramezani, Holger Voos · 2026

This paper presents a hierarchical decision-making framework for unmanned aerial vehicle (UAV) missions motivated by search-and-rescue (SAR) scenarios under limited simulation training. The framework …

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Engineering Preprint PDF DOI

Computational Design and Co-Robotic Fabrication for Material Reuse in Architecture

Arash Adel, Daniel Ruan, Ruxin Xie · 2026

Climate change and resource depletion demand a shift from the dominant linear "take-make-use-dispose" paradigm of construction toward circular, low-waste practices. Material reuse offers a promising p…

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Engineering Preprint PDF DOI

Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training

Yaxuan Li, Zhongyi Zhou, Yefei Chen, Yanjiang Guo, Jiaming Liu, Shanghang Zhang, Jianyu Chen, Yichen Zhu · 2026

Post-training is essential for turning pretrained generalist robot policies into reliable task-specific controllers, but existing human-in-the-loop pipelines remain tied to physical execution: each co…

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Engineering Preprint PDF DOI

CooperDrive: Enhancing Driving Decisions Through Cooperative Perception

Deyuan Qu, Qi Chen, Takayuki Shimizu, Onur Altintas · 2026

Autonomous vehicles equipped with robust onboard perception, localization, and planning still face limitations in occlusion and non-line-of-sight (NLOS) scenarios, where delayed reactions can increase…

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Engineering Preprint PDF DOI

Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring

Melvin Laux, Yi-Ling Liu, Rina Alo, Soren Topper, Mariela De Lucas Alvarez, Frank Kirchner, Rebecca Adam · 2026

Although autonomous underwater vehicles promise the capability of marine ecosystem monitoring, their deployment is fundamentally limited by the difficulty of controlling vehicles under highly uncertai…

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Engineering Preprint PDF DOI

Steering with Contingencies: Combinatorial Stabilization and Reach-Avoid Filters

Yana Lishkova, Pio Ong, Sander Tonkens, Sylvia Herbert, Aaron D. Ames · 2026

In applications such as autonomous landing and navigation, it is often desirable to steer toward a target while retaining the ability to divert to at least $r$ (out of $p$) alternative sites if condit…

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Engineering Preprint PDF DOI

JEPA-MSAC: A Joint-Embedding Predictive Architecture for Multimodal Sensing-Assisted Communications

Can Zheng, Jiguang He, Guofa Cai, Nannan Li, Mehdi Bennis, Henk Wymeersch, Merouane Debbah · 2026

Future wireless systems increasingly require predictive and transferable representations that can support multiple physical-layer (PHY) tasks under dynamic environments. However, most existing supervi…

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Engineering Preprint PDF DOI

End-to-End Learning-based Operation of Integrated Energy Systems for Buildings and Data Centers

Zhenyu Pu, Yu Yang, Liang Yu, Xiaohong Guan · 2026

Buildings and data centers (DCs) are energy-intensive sectors, playing a critical role to achieve the low-carbon and sustainable energy transition targets. To this end, integrated energy system (IES) …

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Engineering Preprint PDF DOI

Long-Reach Robotic Cleaning for Lunar Solar Arrays

Stanley Wang, Velin Kojouharov, Long Yin Chung, Daniel Morton, Mark Cutkosky · 2026

Commercial lunar activity is accelerating the need for reliable surface infrastructure and routine operations to keep it functioning. Maintenance tasks such as inspection, cleaning, dust mitigation, a…

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Engineering Preprint PDF DOI

Long-Reach Robotic Manipulation for Assembly and Outfitting of Lunar Structures

Stanley Wang, Venny Kojouharov, Long Yin Chung, Daniel Morton, Mark Cutkosky (Stanford University) · 2026

Future infrastructure construction on the lunar surface will require semi- or fully-autonomous operation from robots deployed at the build site. In particular, tasks such as electrical outfitting nece…

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Engineering Preprint PDF DOI

Time-Varying Reach-Avoid Control Certificates for Stochastic Systems

Rayan Mazouz, Luca Laurenti, Morteza Lahijanian · 2026

Reach-avoid analysis is fundamental to reasoning about the safety and goal-reaching behavior of dynamical systems, and serves as a foundation for specifying and verifying more complex control objectiv…

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Engineering Preprint PDF DOI

CATNAV: Cached Vision-Language Traversability for Efficient Zero-Shot Robot Navigation

Aditya Potnis, Francisco Affonso, Shreya Gummadi, Naveen Kumar Uppalapati, Girish Chowdhary · 2026

Navigating unstructured environments requires assessing traversal risk relative to a robot's physical capabilities, a challenge that varies across embodiments. We present CATNAV, a cost-aware traversa…

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Engineering Preprint PDF DOI

Evolving Embodied Intelligence: Graph Neural Network--Driven Co-Design of Morphology and Control in Soft Robotics

Jianqiang Wang, Shuaiqun Pan, Alvaro Serra-Gomez, Xiaohan Wei, Yue Xie · 2026

The intelligent behavior of robots does not emerge solely from control systems, but from the tight coupling between body and brain, a principle known as embodied intelligence. Designing soft robots th…

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Engineering Preprint PDF DOI

Surface-Constrained Offline Warping with Contact-Aware Online Pose Projection for Safe Robotic Trajectory Execution

Farong Wang, Sai Swaminathan, Fei Liu · 2026

Robotic manipulation tasks that require repeated tool motion along curved surfaces frequently arise in surface finishing, inspection, and guided interaction. In practice, nominal motion primitives are…

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Engineering Preprint PDF DOI

Controllable Accent Normalization via Discrete Diffusion

Qibing Bai, Yuhan Du, Tom Ko, Shuai Wang, Yannan Wang, Haizhou Li · 2026

Existing accent normalization methods do not typically offer control over accent strength, yet many applications-such as language learning and dubbing-require tunable accent retention. We propose DLM-…

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Engineering Preprint PDF DOI

Safety-critical Control Under Partial Observability: Reach-Avoid POMDP meets Belief Space Control

Matti Vahs, Joris Verhagen, Jana Tumova · 2026

Partially Observable Markov Decision Processes (POMDPs) provide a principled framework for robot decision-making under uncertainty. Solving reach-avoid POMDPs, however, requires coordinating three dis…

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Engineering Preprint PDF DOI

SkillVLA: Tackling Combinatorial Diversity in Dual-Arm Manipulation via Skill Reuse

Xuanran Zhai, Zekai Huang, Longyan Wu, Qianyou Zhao, Qiaojun Yu, Jieji Ren, Ce Hao, Harold Soh · 2026

Recent progress in vision-language-action (VLA) models has demonstrated strong potential for dual-arm manipulation, enabling complex behaviors and generalization to unseen environments. However, mains…

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Engineering Preprint PDF DOI

Efficient Flow Matching for Sparse-View CT Reconstruction

Jiayang Shi, Lincen Yang, Zhong Li, Tristan Van Leeuwen, Daniel M. Pelt, K. Joost Batenburg · 2026

Generative models, particularly Diffusion Models (DM), have shown strong potential for Computed Tomography (CT) reconstruction serving as expressive priors for solving ill-posed inverse problems. Howe…

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Engineering Preprint PDF DOI

Adaptive-Horizon Conflict-Based Search for Closed-Loop Multi-Agent Path Finding

Jiarui Li, Federico Pecora, Runyu Zhang, Gioele Zardini · 2026

MAPF is a core coordination problem for large robot fleets in automated warehouses and logistics. Existing approaches are typically either open-loop planners, which generate fixed trajectories and str…

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Engineering Preprint PDF DOI

Data-centric Design of Learning-based Surgical Gaze Perception Models in Multi-Task Simulation

Yizhou Li, Shuyuan Yang, Jiaji Su, Zonghe Chua · 2026

In robot-assisted minimally invasive surgery (RMIS), reduced haptic feedback and depth cues increase reliance on expert visual perception, motivating gaze-guided training and learning-based surgical p…

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