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๐Ÿ” bruno cabral ๐Ÿ“‚ Engineering
Showing 760 results for "bruno cabral" in Engineering
Engineering Preprint PDF DOI

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA

Feeza Khan Khanzada, Jaerock Kwon ยท 2026

Learned driving agents often degrade when deployed in unseen environments. This paper studies a deliberately bounded instance of that problem in the CARLA simulator: zero-shot transfer of a closed-looโ€ฆ

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Engineering Preprint PDF DOI

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis

Antoine P. Leeman, Shuyu Zhan, Melanie N. Zeilinger, Glen Chou ยท 2026

We propose VISION-SLS, a method for nonlinear output-feedback control from high-resolution RGB images which provides robust constraint satisfaction guarantees under calibrated uncertainty bounds despiโ€ฆ

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Engineering Preprint PDF DOI

Physics-Aware LLM-Based Probabilistic Wind Power Scenario Generation under Extreme Icing Conditions

Lei Wang, Ying Zhang, Di Shi, Fei Ding ยท 2026

Accurately characterizing wind power uncertainty under icing and post-disaster conditions remains a critical challenge for resilient power system operation. To address this issue, this paper proposes โ€ฆ

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Engineering Preprint PDF DOI

Large Language Model based Interactive Decision-Making for Autonomous Driving

Xinwei Dong, Jiyang Li, Jiabin Xie, Yang Yi, Tianshang Jia, Shiyu Fang, Ye Tian, Peng Hang ยท 2026

In high-conflict mixed-traffic scenarios involving human-driven and autonomous vehicles, most existing autonomous driving systems default to overly conservative behaviors, lack proactive interaction, โ€ฆ

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Engineering Preprint PDF DOI

RecoverFormer: End-to-End Contact-Aware Recovery for Humanoid Robots

Zihui Liu ยท 2026

Humanoid robots operating in unstructured environments must recover from unexpected disturbances-a capability that remains challenging for end-to-end control policies. We present RECOVERFORMER, a fullโ€ฆ

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Engineering Preprint PDF DOI

Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models

Haiweng Xu, Sipeng Zheng, Hao Luo, Wanpeng Zhang, Ziheng Xi, Zongqing Lu ยท 2026

Recent Vision-Language-Action (VLA) models report impressive success rates on standard robotic benchmarks, fueling optimism about general-purpose physical intelligence. However, recent evidence suggesโ€ฆ

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Engineering Preprint PDF DOI

Behavioral Systems Theory Meets Machine Learning: Control-Aware Learning of the Intrinsic Behavior from Big Data

Yitao Yan, Yu Tong, Jie Bao, Wei Wang ยท 2026

The abundance of process operating data in modern industries, along with the rapid advancement of learning techniques, has led to a paradigm shift towards data-centric analysis and control. However, iโ€ฆ

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Engineering Preprint PDF DOI

DINO-Explorer: Active Underwater Discovery via Ego-Motion Compensated Semantic Predictive Coding

Yuhan Jin, Nayari Marie Lessa, Mariela De Lucas Alvarez, Melvin Laux, Lucas Amparo Barbosa, Frank Kirchner, Rebecca Adam ยท 2026

Marine ecosystem degradation necessitates continuous, scientifically selective underwater monitoring. However, most autonomous underwater vehicles (AUVs) operate as passive data loggers, capturing exhโ€ฆ

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Engineering Preprint PDF DOI

HumDial-EIBench: A Human-Recorded Multi-Turn Emotional Intelligence Benchmark for Audio Language Models

Shuiyuan Wang, Zhixian Zhao, Hongfei Xue, Chengyou Wang, Shuai Wang, Hui Bu, Xin Xu, Lei Xie ยท 2026

Evaluating the emotional intelligence (EI) of audio language models (ALMs) is critical. However, existing benchmarks mostly rely on synthesized speech, are limited to single-turn interactions, and depโ€ฆ

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Engineering Preprint PDF DOI

AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps

Liaoyuan Fan, Zetian Xu, Chen Cao, Wenyao Zhang, Mingqi Yuan, Jiayu Chen ยท 2026

Pretrained video generation models provide strong priors for robot control, but existing unified world action models still struggle to decode reliable actions without substantial robot-specific trainiโ€ฆ

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Engineering Preprint PDF DOI

Compiling OpenSCENARIO 2.1 for Scenario-Based Testing in CARLA

Thoshitha Gamage, Lasanthi Gamage ยท 2026

While the ASAM OpenSCENARIO 2.1 Domain-Specific Language (DSL) enables declarative, intent-driven authoring for Scenario-Based Testing (SBT), its integration into open-source simulators like CARLA remโ€ฆ

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Engineering Preprint PDF DOI

Dialogue based Interactive Explanations for Safety Decisions in Human Robot Collaboration

Yifan Xu, Xiao Zhan, Akilu Yunusa Kaltungo, Ming Shan Ng, Tsukasa Ishizawa, Kota Fujimoto, Clara Cheung ยท 2026

As robots increasingly operate in shared, safety critical environments, acting safely is no longer sufficient robots must also make their safety decisions intelligible to human collaborators. In humanโ€ฆ

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Engineering Preprint PDF DOI

Sample entropy for graph signals: An approach to nonlinear dynamic analysis of data on networks

Mei-San Maggie Lei, John Stewart Fabila Carrasco, Javier Escudero ยท 2026

The recent extension of permutation entropy and its derivatives to graph signals has opened up new horizons for the analysis of complex, high-dimensional systems evolving on networks. However, these mโ€ฆ

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Engineering Preprint PDF DOI

Duality Theory for Non-Markovian Linear Gaussian Models

Aditya Kudre, Heng-Sheng Chang, Prashant G. Mehta ยท 2026

This work develops a duality theory for partially observed linear Gaussian models in discrete time. The state process evolves according to a causal but non-Markovian (or higher-order Gauss-Markov) strโ€ฆ

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Engineering Preprint PDF DOI

Belief Dynamics for Detecting Behavioral Shifts in Safe Collaborative Manipulation

Devashri Naik, Divake Kumar, Nastaran Darabi, Amit Ranjan Trivedi ยท 2026

Robots operating in shared workspaces must maintain safe coordination with other agents whose behavior may change during task execution. When a collaborating agent switches strategy mid-episode, contiโ€ฆ

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Engineering Preprint PDF DOI

The Compression Gap: Why Discrete Tokenization Limits Vision-Language-Action Model Scaling

Takuya Shiba ยท 2026

Scaling Vision-Language-Action (VLA) models by upgrading the vision encoder is expected to improve downstream manipulation performance--as it does in vision-language modeling. We show that this expectโ€ฆ

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Engineering Preprint PDF DOI

Cross-Modal Visuo-Tactile Object Perception

Anirvan Dutta, Simone Tasciotti, Claudia Cusseddu, Ang Li, Panayiota Poirazi, Julijana Gjorgjieva, Etienne Burdet, Patrick van der Smagt, Mohsen Kaboli ยท 2026

Estimating physical properties is critical for safe and efficient autonomous robotic manipulation, particularly during contact-rich interactions. In such settings, vision and tactile sensing provide cโ€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

Causal Optimal Coupling for Gaussian Input-Output Distributional Data

Daran Xu, Amirhossein Taghvaei ยท 2026

We study the problem of identifying an optimal coupling between input-output distributional data generated by a causal dynamical system. The coupling is required to satisfy prescribed marginal distribโ€ฆ

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Engineering Preprint PDF DOI

SoftHand Model-W: A 3D-Printed, Anthropomorphic, Underactuated Robot Hand with Integrated Wrist and Carpal Tunnel

Dhillon B. Merritt, Christopher J. Ford, Haoran Li, Malia Smith, Zhixing Chen, Efi Psomopoulou, Nathan F. Lepora ยท 2026

This paper presents the SoftHand Model-W: a 3D-printed, underactuated, anthropomorphic robot hand based on the Pisa/IIT SoftHand, with an integrated antagonistic tendon mechanism and 2 degree-of-freedโ€ฆ

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