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๐Ÿ” luca donati ๐Ÿ“‚ Engineering
Showing 134 results for "luca donati" in Engineering
Engineering Preprint PDF DOI

DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs

Nikhil Behari, Diego Rivero, Luke Apostolides, Suman Ghosh, Paul Pu Liang, Ramesh Raskar ยท 2026

Consumer LiDARs in mobile devices and robots typically output a single depth value per pixel. Yet internally, they record full time-resolved histograms containing direct and multi-bounce light returnsโ€ฆ

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Engineering Preprint PDF DOI

Causal Scene Narration with Runtime Safety Supervision for Vision-Language-Action Driving

Yun Li, Yidu Zhang, Simon Thompson, Ehsan Javanmardi, Manabu Tsukada ยท 2026

Vision-Language-Action (VLA) models for autonomous driving must integrate diverse textual inputs, including navigation commands, hazard warnings, and traffic state descriptions, yet current systems ofโ€ฆ

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Engineering Preprint PDF DOI

Blind Quality Enhancement for G-PCC Compressed Dynamic Point Clouds

Tian Guo, Hui Yuan, Chang Sun, Wei Zhang, Raouf Hamzaoui, Sam Kwong ยท 2026

Point cloud compression often introduces noticeable reconstruction artifacts, which makes quality enhancement necessary. Existing approaches typically assume prior knowledge of the distortion level anโ€ฆ

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Engineering Preprint PDF DOI

Rectify, Don't Regret: Avoiding Pitfalls of Differentiable Simulation in Trajectory Prediction

Harsh Yadav, Christian Bohn, Tobias Meisen ยท 2026

Current open-loop trajectory models struggle in real-world autonomous driving because minor initial deviations often cascade into compounding errors, pushing the agent into out-of-distribution states.โ€ฆ

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Engineering Preprint PDF DOI

TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception -- Don't Treat All Uncertainty the Same

Divake Kumar, Sina Tayebati, Devashri Naik, Patrick Poggi, Amanda Sofie Rios, Nilesh Ahuja, Amit Ranjan Trivedi ยท 2026

Most uncertainty-aware robotic systems collapse prediction uncertainty into a single scalar score and use it to trigger uniform corrective responses. This aggregation obscures whether uncertainty arisโ€ฆ

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Engineering Preprint PDF DOI

A Low-Complexity PFA-Based Autofocus Algorithm for Automotive SAR

S. Hamed Javadi, Andre Bourdoux, Adnan Albaba, Hichem Sahli ยท 2026

Radars provide robust perception of vehicle surroundings by effectively functioning in poor light and adverse weather conditions. Synthetic aperture radar (SAR) algorithms are employed to address the โ€ฆ

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Engineering Preprint PDF DOI

Reconstruct! Don't Encode: Self-Supervised Representation Reconstruction Loss for High-Intelligibility and Low-Latency Streaming Neural Audio Codec

Junhyeok Lee, Xiluo He, Jihwan Lee, Helin Wang, Shrikanth Narayanan, Thomas Thebaud, Laureano Moro-Velazquez, Jesus Villalba, Najim Dehak ยท 2026

Neural audio codecs optimized for mel-spectrogram reconstruction often fail to preserve intelligibility. While semantic encoder distillation improves encoded representations, it does not guarantee conโ€ฆ

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Engineering Preprint PDF DOI

Don't double it: Efficient Agent Prediction in Occlusions

Anna Rothenhausler, Markus Mazzola, Andreas Look, Raghu Rajan, Joschka Bodecker ยท 2026

Occluded traffic agents pose a significant challenge for autonomous vehicles, as hidden pedestrians or vehicles can appear unexpectedly, yet this problem remains understudied. Existing learning-based โ€ฆ

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Engineering Preprint PDF DOI

PRISM: Protocol Refinement through Intelligent Simulation Modeling

Brian Hsu, Priyanka V Setty, Rory M Butler, Ryan Lewis, Casey Stone, Rebecca Weinberg, Thomas Brettin, Rick Stevens, Ian Foster, Arvind Ramanathan ยท 2026

Automating experimental protocol design and execution remains as a fundamental bottleneck in realizing self-driving laboratories. We introduce PRISM (Protocol Refinement through Intelligent Simulationโ€ฆ

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Engineering Preprint PDF DOI

Vision-Guided Optic Flow Navigation for Small Lunar Missions

Sean Cowan, Pietro Fanti, Leon B. S. Williams, Chit Hong Yam, Kaneyasu Asakuma, Yuichiro Nada, Dario Izzo ยท 2025

Private lunar missions are faced with the challenge of robust autonomous navigation while operating under stringent constraints on mass, power, and computational resources. This work proposes a motionโ€ฆ

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Engineering Preprint PDF DOI

Uncertainty Discounting in Deterministic Black Box Price Predictions for Energy Arbitrage

Arnab Bhattacharjee ยท 2025

This study examines the economic impact of post-hoc uncertainty discounting in predictive energy management, specifically in battery energy arbitrage. A 2.2 MWh, 1.1 MW Tesla battery, emulating operatโ€ฆ

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Engineering Preprint PDF DOI

Don't Just Search, Understand: Semantic Path Planning Agent for Spherical Tensegrity Robots in Unknown Environments

Junwen Zhang, Changyue Liu, Pengqi Fu, Xiang Guo, Ye Shi, Xudong Liang, Zhijian Wang, Hanzhi Ma ยท 2025

Endowed with inherent dynamical properties that grant them remarkable ruggedness and adaptability, spherical tensegrity robots stand as prototypical examples of hybrid softrigid designs and excellent โ€ฆ

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Engineering Preprint PDF DOI

I don't Want You to Die: A Shared Responsibility Framework for Safeguarding Child-Robot Companionship

Fan Yang, Renkai Ma, Yaxin Hu, Michael Rodgers, Lingyao Li ยท 2025

Social robots like Moxie are designed to form strong emotional bonds with children, but their abrupt discontinuation can cause significant struggles and distress to children. When these services end, โ€ฆ

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Engineering Preprint PDF DOI

Hybrid Vision Servoing with Depp Alignment and GRU-Based Occlusion Recovery

Jee Won Lee, Hansol Lim, Sooyeun Yang, Jongseong Brad Choi ยท 2025

Vision-based control systems, such as image-based visual servoing (IBVS), have been extensively explored for precise robot manipulation. A persistent challenge, however, is maintaining robust target tโ€ฆ

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Engineering Preprint PDF DOI

Development of a Digital Twin for an Electric Vehicle Emulator Modeling, Control, and Experimental Validation

Lamine Chalal, Ahmed Rachid ยท 2025

This paper presents the development and validation of a digital twin for a scaled-down electric vehicle (EV) emulator, designed to replicate longitudinal vehicle dynamics under diverse operating condiโ€ฆ

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Engineering Preprint PDF DOI

Don't Run with Scissors: Pruning Breaks VLA Models but They Can Be Recovered

Jason Jabbour, Dong-Ki Kim, Max Smith, Jay Patrikar, Radhika Ghosal, Youhui Wang, Ali Agha, Vijay Janapa Reddi, Shayegan Omidshafiei ยท 2025

Vision-Language-Action (VLA) models have advanced robotic capabilities but remain challenging to deploy on resource-limited hardware. Pruning has enabled efficient compression of large language modelsโ€ฆ

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Engineering Preprint PDF DOI

What You Don't Know Can Hurt You: How Well do Latent Safety Filters Understand Partially Observable Safety Constraints?

Matthew Kim, Kensuke Nakamura, Andrea Bajcsy ยท 2025

Safe control techniques, such as Hamilton-Jacobi reachability, provide principled methods for synthesizing safety-preserving robot policies but typically assume hand-designed state spaces and full obsโ€ฆ

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Engineering Preprint PDF DOI

Lossless 4:2:0 Screen Content Coding Using Luma-Guided Soft Context Formation

Hannah Och, Andre Kaup ยท 2025

The soft context formation coder is a pixel-wise state-of-the-art lossless screen content coder using pattern matching and color palette coding in combination with arithmetic coding. It achieves excelโ€ฆ

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Engineering Preprint PDF DOI

HALO: Human Preference Aligned Offline Reward Learning for Robot Navigation

Gershom Seneviratne, Jianyu An, Sahire Ellahy, Kasun Weerakoon, Mohamed Bashir Elnoor, Jonathan Deepak Kannan, Amogha Thalihalla Sunil, Dinesh Manocha ยท 2025

In this paper, we introduce HALO, a novel Offline Reward Learning algorithm that quantifies human intuition in navigation into a vision-based reward function for robot navigation. HALO learns a rewardโ€ฆ

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Engineering Preprint PDF DOI

Don't be Afraid of Cell Complexes! An Introduction from an Applied Perspective

Josef Hoppe, Vincent P. Grande, Michael T. Schaub ยท 2025

Cell complexes (CCs) are a higher-order network model deeply rooted in algebraic topology that has gained interest in signal processing and network science recently. However, while the processing of sโ€ฆ

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