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๐Ÿ” behavior ๐Ÿ“‚ Engineering
Showing 11037 results for "behavior" in Engineering
Engineering Preprint PDF DOI

Whole-Body Mobile Manipulation using Offline Reinforcement Learning on Sub-optimal Controllers

Snehal Jauhri, Vignesh Prasad, Georgia Chalvatzaki ยท 2026

Mobile Manipulation (MoMa) of articulated objects, such as opening doors, drawers, and cupboards, demands simultaneous, whole-body coordination between a robot's base and arms. Classical whole-body coโ€ฆ

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Engineering Preprint PDF DOI

HazardArena: Evaluating Semantic Safety in Vision-Language-Action Models

Zixing Chen, Yifeng Gao, Li Wang, Yunhan Zhao, Yi Liu, Jiayu Li, Xiang Zheng, Zuxuan Wu, Cong Wang, Xingjun Ma, Yu-Gang Jiang ยท 2026

Vision-Language-Action (VLA) models inherit rich world knowledge from vision-language backbones and acquire executable skills via action demonstrations. However, existing evaluations largely focus on โ€ฆ

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Engineering Preprint PDF DOI

Ternary Logic Encodings of Temporal Behavior Trees with Application to Control Synthesis

Ryan Matheu, John S. Baras, Calin Belta ยท 2026

Behavior Trees (BTs) provide designers an intuitive graphical interface to construct long-horizon plans for autonomous systems. To ensure their correctness and safety, rigorous formal models and verifโ€ฆ

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Engineering Preprint PDF DOI

Dynamic Modeling and Robust Gait Optimization of a Compliant Worm Robot

Xinyu Zhou, Yu Mei, Faith Thomson, Christian Luedtke, Xinda Qi, Xiaobo Tan ยท 2026

Worm-inspired robots provide an effective locomotion strategy for constrained environments by combining cyclic body deformation with alternating anchoring. For compliant robots, however, the interactiโ€ฆ

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Engineering Preprint PDF DOI

A Foot Resistive Force Model for Legged Locomotion on Muddy Terrains

Xunjie Chen, Liuyin Wang, Xinyan Huang, Jerry Shan, Yantao Shen, Jingang Yi ยท 2026

Legged robots face significant challenges in moving and navigating on deformable and highly yielding terrain such as mud. We present a resistive force model for legged foot-mud interactions. The modelโ€ฆ

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Engineering Preprint PDF DOI

M2HRI: An LLM-Driven Multimodal Multi-Agent Framework for Personalized Human-Robot Interaction

Shaid Hasan, Breenice Lee, Sujan Sarker, Tariq Iqbal ยท 2026

Multi-robot systems hold significant promise for social environments such as homes and hospitals, yet existing multi-robot works treat robots as functionally identical, overlooking how robots individuโ€ฆ

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Engineering Preprint PDF DOI

Multi-ORFT: Stable Online Reinforcement Fine-Tuning for Multi-Agent Diffusion Planning in Cooperative Driving

Haojie Bai, Aimin Li, Ruoyu Yao, Xiongwei Zhao, Tingting Zhang, Xing Zhang, Lin Gao, and Jun Ma ยท 2026

Closed-loop cooperative driving requires planners that generate realistic multimodal multi-agent trajectories while improving safety and traffic efficiency. Existing diffusion planners can model multiโ€ฆ

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Engineering Preprint PDF DOI

Accelerating Reinforcement Learning for Wind Farm Control via Expert Demonstrations

Marcus Binder Nilsen, Julian Quick, Tuhfe Gocmen, Nikolay Dimitrov, Pierre-Elouan Rethore ยท 2026

Reinforcement learning (RL) offers a promising approach for adaptive wind farm flow control, yet its practical deployment is hindered by slow training convergence and poor initial performance, factorsโ€ฆ

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Engineering Preprint PDF DOI

Leader-Follower Density Control of Multi-Agent Systems with Interacting Followers: Feasibility and Convergence Analysis

Beniamino Di Lorenzo, Gian Carlo Maffettone, Mario di Bernardo ยท 2026

We address density control problems for large-scale multi-agent systems in leader-follower settings, where a group of controllable leaders must steer a population of followers toward a desired spatialโ€ฆ

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Engineering Preprint PDF DOI

From Equations to Algorithms and Data: Transforming Microwave Engineering and Education with Machine Learning

Mehmet Parlak, Islam Guven ยท 2026

Conventional microwave engineering education relies heavily on analytical methods, canonical circuit topologies, and intuition-driven design, which have proven effective at microwave frequencies. Howeโ€ฆ

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Engineering Preprint PDF DOI

ViserDex: Visual Sim-to-Real for Robust Dexterous In-hand Reorientation

Arjun Bhardwaj, Maximum Wilder-Smith, Mayank Mittal, Vaishakh Patil, Marco Hutter ยท 2026

In-hand object reorientation requires precise estimation of the object pose to handle complex task dynamics. While RGB sensing offers rich semantic cues for pose tracking, existing solutions rely on mโ€ฆ

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Engineering Preprint PDF DOI

Simulator Adaptation for Sim-to-Real Learning of Legged Locomotion via Proprioceptive Distribution Matching

Jeremy Dao, Alan Fern ยท 2026

Simulation trained legged locomotion policies often exhibit performance loss on hardware due to dynamics discrepancies between the simulator and the real world, highlighting the need for approaches thโ€ฆ

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Engineering Preprint PDF DOI

Inferring World Belief States in Dynamic Real-World Environments

Jack Kolb, Aditya Garg, Nikolai Warner, Karen M. Feigh ยท 2026

We investigate estimating a human's world belief state using a robot's observations in a dynamic, 3D, and partially observable environment. The methods are grounded in mental model theory, which positโ€ฆ

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Engineering Preprint PDF DOI

MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving

Haesung Oh, Jaeheung Park ยท 2026

End-to-End (E2E) autonomous driving models are usually trained and evaluated with a fixed ego-vehicle, even though their driving policy is implicitly tied to vehicle dynamics. When such a model is depโ€ฆ

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Engineering Preprint PDF DOI

Strategic Spatial Load Shifting and Market Efficiency

Aron Brenner, Deepjyoti Deka, Line Roald, Saurabh Amin ยท 2026

Large, spatially flexible electricity consumers such as data centers can reallocate demand across locations, influencing dispatch and prices in wholesale electricity markets. While flexible load is ofโ€ฆ

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Engineering Preprint PDF DOI

On Switched Event-triggered Full State-constrained Formation Control for Multi-vehicle Systems

Zihan Li, Ziming Wang, Xin Wang ยท 2026

Vehicular formation control is an important component of intelligent transportation systems (ITSs). In practical implementations, the controller design needs to satisfy multiple state constraints, incโ€ฆ

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Engineering Preprint PDF DOI

ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching

Xiaotian Qiu, Lukai Chen, Jinhao Li, Qi Sun, Cheng Zhuo, Guohao Dai ยท 2026

Flow Matching (FM) policies have emerged as an efficient backbone for robotic control, offering fast and expressive action generation that underpins recent large-scale embodied AI systems. However, FMโ€ฆ

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Engineering Preprint PDF DOI

BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving

Seth Z. Zhao, Luobin Wang, Hongwei Ruan, Yuxin Bao, Yilan Chen, Ziyang Leng, Abhijit Ravichandran, Honglin He, Zewei Zhou, Xu Han, Abhishek Peri, Zhiyu Huang, Pranav Desai, Henrik Christensen, Jiaqi Ma, Bolei Zhou ยท 2026

Open-loop (OL) to closed-loop (CL) gap (OL-CL gap) exists when OL-pretrained policies scoring high in OL evaluations fail to transfer effectively in closed-loop (CL) deployment. In this paper, we unveโ€ฆ

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Engineering Preprint PDF DOI

When Altruism Meets Autonomy: Managing Bottleneck Congestion with Strategic Autonomous Vehicles

Kexin Wang, Haohui He, Ruolin Li ยท 2026

Weaving ramps are critical bottlenecks in highway networks due to conflicting traffic flows and complex interactions among heterogeneous vehicle types. In mixed-autonomy settings, the presence of contโ€ฆ

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Engineering Preprint PDF DOI

OmniUMI: Towards Physically Grounded Robot Learning via Human-Aligned Multimodal Interaction

Shaqi Luo, Yuanyuan Li, Youhao Hu, Chenhao Yu, Chaoran Xu, Jiachen Zhang, Guocai Yao, Tiejun Huang, Ran He, Zhongyuan Wang ยท 2026

UMI-style interfaces enable scalable robot learning, but existing systems remain largely visuomotor, relying primarily on RGB observations and trajectory while providing only limited access to physicaโ€ฆ

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