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๐Ÿ” avoidance learning ๐Ÿ“‚ Engineering
Showing 39379 results for "avoidance learning" in Engineering
Engineering Preprint PDF DOI

bayesgrid: An Open-Source Python Tool for Generating Probabilistic Synthetic Transmission-Distribution Grids Using Bayesian Hierarchical Models

Henrique O. Caetano, Rahul K. Gupta, Carlos D. Maciel ยท 2026

In this work, we present bayesgrid, an open-source python toolbox for generating synthetic power transmission-distribution systems for any geographical location worldwide, using the publicly availableโ€ฆ

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Engineering Preprint PDF DOI

ManipulationNet: An Infrastructure for Benchmarking Real-World Robot Manipulation with Physical Skill Challenges and Embodied Multimodal Reasoning

Yiting Chen, Kenneth Kimble, Edward H. Adelson, Tamim Asfour, Podshara Chanrungmaneekul, Sachin Chitta, Yash Chitambar, Ziyang Chen, Ken Goldberg, Danica Kragic, Hui Li, Xiang Li, Yunzhu Li, Aaron Prather, Nancy Pollard, Maximo A. Roa-Garzon, Robert Seney, Shuo Sha, Shihefeng Wang, Yu Xiang, Kaifeng Zhang, Yuke Zhu, Kaiyu Hang ยท 2026

Dexterous manipulation enables robots to purposefully alter the physical world, transforming them from passive observers into active agents in unstructured environments. This capability is the cornersโ€ฆ

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Engineering Preprint PDF DOI

RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots

Soroush Nasiriany, Sepehr Nasiriany, Abhiram Maddukuri, Yuke Zhu ยท 2026

Recent advances in robot learning have accelerated progress toward generalist robots that can perform everyday tasks in human environments. Yet it remains difficult to gauge how close we are to this vโ€ฆ

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Engineering Preprint PDF DOI

Tendon Force Modeling for Sim2Real Transfer of Reinforcement Learning Policies for Tendon-Driven Robots

Valentin Yuryev, Josie Hughes ยท 2026

Robots which make use of soft or compliant inter- actions often leverage tendon-driven actuation which enables actuators to be placed more flexibly, and compliance to be maintained. However, controlliโ€ฆ

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Engineering Preprint PDF DOI

Gaussian Mixture-Based Inverse Perception Contract for Uncertainty-Aware Robot Navigation

Bingyao Du, Joonkyung Kim, Yiwei Lyu ยท 2026

Reliable navigation in cluttered environments requires perception outputs that are not only accurate but also equipped with uncertainty sets suitable for safe control. An inverse perception contract (โ€ฆ

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Engineering Preprint PDF DOI

Learning Hip Exoskeleton Control Policy via Predictive Neuromusculoskeletal Simulation

Ilseung Park, Changseob Song, Inseung Kang ยท 2026

Developing exoskeleton controllers that generalize across diverse locomotor conditions typically requires extensive motion-capture data and biomechanical labeling, limiting scalability beyond instrumeโ€ฆ

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Engineering Preprint PDF DOI

Swimming Under Constraints: A Safe Reinforcement Learning Framework for Quadrupedal Bio-Inspired Propulsion

Xinyu Cui, Fei Han, Hang Xu, Yongcheng Zeng, Luoyang Sun, Ruizhi Zhang, Jian Zhao, Haifeng Zhang, Weikun Li, Hao Chen, Jun Wang, Dixia Fan ยท 2026

Bio-inspired aquatic propulsion offers high thrust and maneuverability but is prone to destabilizing forces such as lift fluctuations, which are further amplified by six-degree-of-freedom (6-DoF) fluiโ€ฆ

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Engineering Preprint PDF DOI

SaFeR: Safety-Critical Scenario Generation for Autonomous Driving Test via Feasibility-Constrained Token Resampling

Jinlong Cui, Fenghua Liang, Guo Yang, Chengcheng Tang, Jianxun Cui ยท 2026

Safety-critical scenario generation is crucial for evaluating autonomous driving systems. However, existing approaches often struggle to balance three conflicting objectives: adversarial criticality, โ€ฆ

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Engineering Preprint PDF DOI

Physics Informed Deep Unfolded Full Waveform Inversion for Edema Detection

Ruizhi Zhang, Yhonatan Kvich, Rui Guo, Oded Cohen, Yonina C. Eldar ยท 2026

Edema is a potential indicator of underlying pathological changes. However, its low-contrast signature is often masked in conventional B-mode imaging by strong scatterers, making reliable detection chโ€ฆ

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Engineering Preprint PDF DOI

Force-Aware Residual DAgger via Trajectory Editing for Precision Insertion with Impedance Control

Yiou Huang, Ning Ma, Weichu Zhao, Zinuo Liu, Jun Sun, Qiufeng Wang, Yaran Chen ยท 2026

Imitation learning (IL) has shown strong potential for contact-rich precision insertion tasks. However, its practical deployment is often hindered by covariate shift and the need for continuous expertโ€ฆ

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Engineering Preprint PDF DOI

Self-adapting Robotic Agents through Online Continual Reinforcement Learning with World Model Feedback

Fabian Domberg, Georg Schildbach ยท 2026

As learning-based robotic controllers are typically trained offline and deployed with fixed parameters, their ability to cope with unforeseen changes during operation is limited. Biologically inspiredโ€ฆ

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Engineering Preprint PDF DOI

MLOps-Assisted Anomalous Reflector Metasurfaces Design Based on Red Hat OpenShift AI

Wael Elshennawy ยท 2026

The integration of artificial intelligence as a design tool for metasurfaces, and the implementation of a deep-learning model pose a challenge in the development of an automated solution due to high rโ€ฆ

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Engineering Preprint PDF DOI

Structural Action Transformer for 3D Dexterous Manipulation

Xiaohan Lei, Min Wang, Bohong Weng, Wengang Zhou, Houqiang Li ยท 2026

Achieving human-level dexterity in robots via imitation learning from heterogeneous datasets is hindered by the challenge of cross-embodiment skill transfer, particularly for high-DoF robotic hands. Eโ€ฆ

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Engineering Preprint PDF DOI

ArthroCut: Autonomous Policy Learning for Robotic Bone Resection in Knee Arthroplasty

Xu Lu, Yiling Zhang, Wenquan Cheng, Longfei Ma, Fang Chen, Hongen Liao ยท 2026

Despite rapid commercialization of surgical robots, their autonomy and real-time decision-making remain limited in practice. To address this gap, we propose ArthroCut, an autonomous policy learning frโ€ฆ

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Engineering Preprint PDF DOI

RVN-Bench: A Benchmark for Reactive Visual Navigation

Jaewon Lee, Jaeseok Heo, Gunmin Lee, Howoong Jun, Jeongwoo Oh, Songhwai Oh ยท 2026

Safe visual navigation is critical for indoor mobile robots operating in cluttered environments. Existing benchmarks, however, often neglect collisions or are designed for outdoor scenarios, making thโ€ฆ

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Engineering Preprint PDF DOI

Cyclostationarity Analysis as a Complement to Self-Supervised Representations for Speech Deepfake Detection

Cemal Hanilci, Md Sahidullah, Tomi Kinnunen ยท 2026

Speech deepfake detection (SDD) is essential for maintaining trust in voice-driven technologies and digital media. Although recent SDD systems increasingly rely on self-supervised learning (SSL) repreโ€ฆ

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Engineering Preprint PDF DOI

IROSA: Interactive Robot Skill Adaptation using Natural Language

Markus Knauer, Samuel Bustamante, Thomas Eiband, Alin Albu-Schaffer, Freek Stulp, Joao Silverio ยท 2026

Foundation models have demonstrated impressive capabilities across diverse domains, while imitation learning provides principled methods for robot skill adaptation from limited data. Combining these aโ€ฆ

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Engineering Preprint PDF DOI

Bi-HIL: Bilateral Control-Based Multimodal Hierarchical Imitation Learning via Subtask-Level Progress Rate and Keyframe Memory for Long-Horizon Contact-Rich Robotic Manipulation

Thanpimon Buamanee, Masato Kobayashi, Yuki Uranishi ยท 2026

Long-horizon contact-rich robotic manipulation remains challenging due to partial observability and unstable subtask transitions under contact uncertainty. While hierarchical architectures improve temโ€ฆ

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Engineering Preprint PDF DOI

Dual-Interaction-Aware Cooperative Control Strategy for Alleviating Mixed Traffic Congestion

Zhengxuan Liu, Yuxin Cai, Yijing Wang, Xiangkun He, Chen Lv, Zhiqiang Zuo ยท 2026

As Intelligent Transportation System (ITS) develops, Connected and Automated Vehicles (CAVs) are expected to significantly reduce traffic congestion through cooperative strategies, such as in bottleneโ€ฆ

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Engineering Preprint PDF DOI

Learning Surgical Robotic Manipulation with 3D Spatial Priors

Yu Sheng, Lidian Wang, Xiaomeng Chu, Jiajun Deng, Min Cheng, Yanyong Zhang, Bei Hua, Houqiang Li, Jianmin Ji ยท 2026

Achieving 3D spatial awareness is crucial for surgical robotic manipulation, where precise and delicate operations are required. Existing methods either explicitly reconstruct the surgical scene priorโ€ฆ

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